Assist. Prof. Dr. Hasti Kamali Sarvestani | Medical Mycology | Editorial Board Member

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Assist. Prof. Dr. Hasti Kamali Sarvestani | Medical Mycology | Editorial Board Member

Assistant Professor | Tehran University of Medical Sciences | Iran

Assist. Prof. Dr. Hasti Kamali Sarvestani is a recognized academic and clinical researcher whose work is firmly centered on Medical Mycology, with a strong emphasis on translational research that bridges laboratory diagnostics and patient care. Her scholarly contributions have significantly advanced Medical Mycology through in-depth investigations of fungal pathogens affecting immunocompromised and hospitalized populations, with particular attention to opportunistic infections, antifungal resistance, and molecular identification strategies. Medical Mycology remains the unifying theme across her research portfolio, reflected in her sustained focus on clinically relevant fungi, emerging mycotic diseases, and improved diagnostic accuracy in Medical Mycology practice. Assist. Prof. Dr. Hasti Kamali Sarvestani has authored and co-authored numerous peer-reviewed articles in well-regarded international journals, with her publications collectively demonstrating a strong citation impact within the Medical Mycology community. Her research output spans epidemiological studies, molecular and phenotypic characterization of fungal species, antifungal susceptibility profiling, and the clinical implications of fungal co-infections, reinforcing the applied value of Medical Mycology in modern healthcare systems. Through collaborative research with multidisciplinary teams, she has contributed to strengthening Medical Mycology networks that integrate clinicians, microbiologists, and laboratory scientists. A key strength of her work in Medical Mycology lies in the integration of molecular methods with conventional diagnostics, supporting earlier detection and more targeted antifungal therapy. Her studies have informed clinical decision-making, infection control strategies, and laboratory protocols, thereby enhancing patient outcomes and public health awareness related to fungal diseases. Beyond publications, her active engagement in collaborative research initiatives highlights her role in advancing Medical Mycology at both national and international levels, fostering knowledge exchange and capacity building. The societal impact of Assist. Prof. Dr. Hasti Kamali Sarvestani’s work is evident in its contribution to improved understanding of fungal infections, optimization of diagnostic workflows, and support for evidence-based antifungal management. Her sustained commitment to Medical Mycology underscores her standing as a reliable and influential contributor to this specialized field. Google Scholar profile of 379 Citations, 11 h-index, 14 i10-index.

Profile: Google Scholar

Featured Publications

1. Abdollahi, A., Kamali Sarvestani, H., Rafat, Z., Ghaderkhani, S., & colleagues. (2021). The association between the level of serum 25(OH) vitamin D, obesity, and underlying diseases with the risk of developing COVID-19 infection: A case–control study. Journal of Medical Virology, 93(4), 2359–2364.

2. Sarwestani, H. K., Ghazvini, R. D., Hashemi, S. J., Rezaie, S., Shoar, M. G., & colleagues. (2019). Investigation of etiologic agents and clinical presentations of otomycosis at a tertiary referral center in Tehran, Iran. Iranian Journal of Public Health, 48(2), 331–338.

3. Ardi, P., Daie-Ghazvini, R., Hashemi, S. J., Salehi, M. R., Bakhshi, H., Rafat, Z., & colleagues. (2020). Study on invasive aspergillosis using galactomannan enzyme immunoassay and determining antifungal drug susceptibility among hospitalized patients with hematologic malignancies. Microbial Pathogenesis, 147, 104382.

4. Sarwestani, Z. K., Hashemi, S. J., Rezaie, S., Shoar, M. G., Mahmoudi, S., Elahi, M., & colleagues. (2018). Species identification and in vitro antifungal susceptibility testing of Aspergillus section Nigri strains isolated from otomycosis patients. Journal de Mycologie Médicale, 28(2), 279–284.

5. Rafat, Z., Ramandi, A., Khaki, P. A., Ansari, S., Ghaderkhani, S., Haidar, H., & colleagues. (2022). Fungal and bacterial co-infections of the respiratory tract among patients with COVID-19 hospitalized in intensive care units. Gene Reports, 27, 101588.

Assist. Prof. Dr. Khatereh Khorsandi | Photodynamic Inactivation | Editorial Board Member

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Assist. Prof. Dr. Khatereh Khorsandi | Photodynamic Inactivation | Editorial Board Member

 Assistant Professor | ACECR | Iran

Assist. Prof. Dr. Khatereh Khorsandi is a recognized researcher whose scholarly work centers on advanced biomedical phototherapy strategies, with particular emphasis on Photodynamic inactivation as a transformative approach in cancer therapy, antimicrobial treatment, and translational medical sciences. Her field of expertise integrates nanomedicine, photochemistry, and cellular biology, where Photodynamic inactivation is systematically explored to enhance therapeutic selectivity, reduce resistance, and improve clinical outcomes. Through sustained investigation, she has demonstrated how Photodynamic inactivation can be synergistically combined with nanoparticles, photosensitizers, and adjuvant agents to induce targeted apoptotic and antimicrobial responses. Her research portfolio reflects consistent innovation in Photodynamic inactivation, addressing mechanistic pathways, oxidative stress modulation, and therapeutic optimization across diverse biological models. Assist. Prof. Dr. Khorsandi has authored a substantial body of peer-reviewed publications indexed in international databases, contributing extensively to high-impact journals. Her scientific output highlights the expanding role of Photodynamic inactivation in oncology, dermatology, wound healing, and infectious disease control, positioning this modality as a scalable and cost-effective alternative to conventional therapies. By advancing Photodynamic inactivation-based dual-agent and combinational strategies, her work has influenced experimental design and clinical translation efforts worldwide. She maintains active research collaborations with multidisciplinary teams, fostering cross-institutional and international partnerships that strengthen the global evidence base for Photodynamic inactivation applications. Beyond publication metrics, the societal impact of her work lies in promoting non-invasive, resistance-mitigating therapeutic platforms. Her contributions to Photodynamic inactivation research support safer cancer management protocols and novel antimicrobial solutions aligned with global health priorities. She is frequently engaged in collaborative authorship networks, reflecting her role in knowledge exchange and scientific leadership. The sustained citation performance of her publications underscores their relevance to both fundamental research and applied biomedical innovation. Scopus profile of 1,587 Citations, 62 Documents, 24 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Khorsandi, K., Mehmandoust, M., Erk, N., Karaman, O., et al. (2025). Dual-agent photodynamic therapy using methylene blue and zinc oxide nanoparticles: Sequential illumination enhances apoptotic response in melanoma. Lasers in Medical Science.

2. Khorsandi, K., et al. (2025). Investigation on the phenytoin sodium channel-blocker effect in photodynamic therapy of MDA-MB-231 breast cancer using a positively charged photosensitizer. Scientific Reports.

3. Khorsandi, K., et al. (2025). Fibroblast-mediated macrophage recruitment supports acute wound healing. Journal of Investigative Dermatology.

4. Khorsandi, K., et al. (2025). Translational approach: Dual-mode therapy with selenium and irradiation enhances doxorubicin effectiveness in triple-negative breast cancer. Indian Journal of Gynecologic Oncology.

5. Khorsandi, K., et al. (2025). Gallic acid synergistically enhances the antibacterial activity of azithromycin in MRSA. International Microbiology.

Mohammad Mehmandoust | Covid-19 | Editorial Board Member

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Mr. Mohammad Mehmandoust | Covid-19 | Editorial Board Member

Mohammad Mehmandoust | Jacobs University | Germany

Mr. Mohammad Mehmandoust is a highly productive and internationally recognized researcher whose scientific contributions have had a measurable impact on analytical chemistry, biosensing technologies, and applied nanomaterials, with particular relevance to global health challenges including Covid-19. His field of expertise centers on electrochemical sensors, biosensors, microfluidic systems, and advanced nanocomposites, where his work consistently bridges fundamental materials science with real-world biomedical and environmental applications. A defining strength of his research profile is the development of highly sensitive, selective, and cost-effective sensing platforms, many of which have been directly aligned with urgent diagnostic needs during Covid-19, Covid-19 surveillance, Covid-19 antigen detection, Covid-19 biosensor innovation, Covid-19 rapid testing strategies, Covid-19 point-of-care technologies, Covid-19 analytical validation, Covid-19 translational diagnostics, Covid-19 public health preparedness, and Covid-19 response-oriented research. Mr. Mehmandoust has authored a substantial body of peer-reviewed publications in high-impact international journals, addressing critical targets such as viral antigens, antiviral drugs, biomarkers, pharmaceuticals, food contaminants, and environmental analytes. His work on electrochemical immunosensors for SARS-CoV-2 antigen detection represents a notable contribution to Covid-19 diagnostics, demonstrating how nanostructured materials and molecularly imprinted systems can enhance analytical performance under practical conditions. Beyond Covid-19-focused studies, his research portfolio encompasses innovative sensor architectures based on graphene derivatives, metal–organic frameworks, carbon nanomaterials, and hybrid nanocomposites, reinforcing his reputation as a versatile and methodologically rigorous scientist. Collaboration is a central element of his scholarly activity, reflected in extensive co-authorship with researchers from multiple countries and interdisciplinary backgrounds. These collaborations have strengthened the global relevance of his work and facilitated the translation of laboratory-scale innovations into broadly applicable analytical solutions. The societal impact of his research lies in improving diagnostic accessibility, enhancing drug monitoring accuracy, and supporting public health decision-making, particularly in contexts where rapid and reliable analysis is essential. Google Scholar profile of 1224 Citations, 21 h-index, 26 i10-index.

Profile: Google Scholar

Featured Publications

1. Mehmandoust, M., Erk, N., Karaman, O., Karimi, F., Bijad, M., & Karaman, C. (2021). Three-dimensional porous reduced graphene oxide decorated with carbon quantum dots and platinum nanoparticles for highly selective determination of azo dye compound tartrazine. Food and Chemical Toxicology, 158, 112698.

2. Mehmandoust, M., Erk, N., Karaman, C., & Karaman, O. (2022). An electrochemical molecularly imprinted sensor based on CuBi₂O₄/rGO@MoS₂ nanocomposite and its utilization for highly selective and sensitive linagliptin assay. Chemosphere, 291, 132807.

3. Mehmandoust, M., Gumus, Z. P., Soylak, M., & Erk, N. (2022). Electrochemical immunosensor for rapid and highly sensitive detection of SARS-CoV-2 antigen in nasal samples. Talanta, 240, 123211.

4. Li, G., Wan, X., Xia, Y., Tuo, D., Qi, X., Wang, T., Mehmandoust, M., Erk, N., & He, Q. (2023). Lamellar α-zirconium phosphate nanoparticles supported on N-doped graphene nanosheets as electrocatalysts for the detection of levofloxacin. ACS Applied Nano Materials, 6(18), 17040–17052.

5. Mehmandoust, M., Khoshnavaz, Y., Tuzen, M., & Erk, N. (2021). Voltammetric sensor based on bimetallic nanocomposite for determination of favipiravir as an antiviral drug. Microchimica Acta, 188(12), 434.

Dr. Shikha Singh | Immunology | Editorial Board Member

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Dr. Shikha Singh | Immunology | Editorial Board Member

Associate Professor | Rama Devi Women's University | India

Dr. Shikha Singh is a distinguished researcher whose scholarly contributions reflect a deep commitment to advancing Immunology through multidisciplinary scientific inquiry. Her work demonstrates how Immunology can be integrated with environmental sciences, microbial biotechnology, clinical microbiology, agricultural systems, and public health challenges to create broader scientific impact. Throughout her research journey, Immunology has served as a central theme driving her analytical approach, enabling her to explore molecular interactions, pathogenic behavior, and ecological factors with exceptional clarity. As a productive scholar, Dr. Shikha Singh has authored influential publications that highlight the relevance of Immunology in understanding environmental toxicity, microbial contamination, disease-related fungal resistance, genotype characterization, and physiological responses in biological systems. Her research in Immunology extends across collaborations with experts in environmental chemistry, biotechnology, microbiology, agricultural sciences, and clinical research, reflecting a strong interdisciplinary foundation. By applying Immunology principles to complex scientific problems, she has contributed to improved strategies for pollution assessment, pathogen detection, antimicrobial evaluation, and sustainable resource management. Her work in Immunology continues to inspire innovative approaches in both laboratory and real-world applications, demonstrating how scientific evidence can guide public health protection and ecological sustainability. With Immunology guiding her research perspective, Dr. Shikha Singh has strengthened scientific understanding, supported evidence-based solutions, and contributed to global knowledge systems through impactful collaborations. Her scholarly influence within Immunology is further reinforced by her consistent publication record and the measurable reach of her research within the global academic community. Google Scholar profile of 1100 Citations, 13 h-index, 19 i10-index.

Profile: Google Scholar

Featured Publications

1. Mohanty, S., Benya, A., Hota, S., Kumar, M. S., & Singh, S. (2023). Eco-toxicity of hexavalent chromium and its adverse impact on environment and human health in Sukinda Valley of India: A review on pollution and prevention strategies. Environmental Chemistry and Ecotoxicology, 5, 46–54.

2. Mishra, S., Ghosh, S., van Hullebusch, E. D., Singh, S., & Das, A. P. (2023). A critical review on the recovery of base and critical elements from electronic waste-contaminated streams using microbial biotechnology. Applied Biochemistry and Biotechnology, 195(12), 7859–7888.

3. Ponnachan, P., Vinod, V., Pullanhi, U., Varma, P., Singh, S., Biswas, R., & Kumar, A. (2019). Antifungal activity of octenidine dihydrochloride and ultraviolet-C light against multidrug-resistant Candida auris. Journal of Hospital Infection, 102(1), 120–124.

4. Benya, A., Mohanty, S., Hota, S., Das, A. P., Rath, C. C., Achary, K. G., & Singh, S. (2023). Endangered Curcuma caesia Roxb.: Qualitative and quantitative analysis for identification of industrially important elite genotypes. Industrial Crops and Products, 195, Article 116363.

5. Singh, S., Sahoo, S., Dash, S., & Nayak, S. (2014). Association of growth and yield parameters with bioactive phytoconstituents in selection of promising turmeric genotypes. Industrial Crops and Products, 62, 373–379.

Assist. Prof. Dr. Law Kumar Singh | Medical Image Processing | Editorial Board Member

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Assist. Prof. Dr. Law Kumar Singh | Medical Image Processing | Editorial Board Member

Assistant Professor | GLA University | India

Assist. Prof. Dr. Law Kumar Singh is a distinguished researcher whose scientific contributions have significantly shaped advancements in Medical Image Processing, artificial intelligence, and clinical decision-support systems. His work demonstrates a consistent commitment to enhancing healthcare diagnostics through Medical Image Processing, with notable achievements in breast cancer prediction, glaucoma detection, diabetic retinopathy assessment, and automated medical screening technologies. Recognized for integrating nature-inspired algorithms with deep learning, he has established a strong research presence built upon innovation and high-impact publications in Medical Image Processing. Throughout his career, Assist. Prof. Dr. Law Kumar Singh has authored influential studies that advance Medical Image Processing by developing hybrid architectures, robust optimization frameworks, and deep neural network models tailored for medical applications. His collaborations with leading experts across computer vision, machine learning, and biomedical engineering have strengthened the translational impact of Medical Image Processing, ensuring that his research contributes both to academic progress and clinical relevance. He has produced numerous widely cited works, reflecting the global recognition of his contributions to Medical Image Processing. His research portfolio highlights a strong focus on real-world medical challenges, where Medical Image Processing serves as a transformative tool for early disease identification and improved patient outcomes. By blending algorithmic efficiency with diagnostic precision, he has consistently demonstrated how Medical Image Processing can elevate the accuracy and reliability of automated healthcare systems. His collaborative projects further emphasize interdisciplinary integration, reinforcing the essential role of Medical Image Processing in solving complex biomedical problems. Assist. Prof. Dr. Law Kumar Singh continues to expand the frontiers of Medical Image Processing through rigorous research, impactful publications, and sustained contributions to global scientific communities. His work stands as a benchmark for excellence in data-driven healthcare innovation. Google Scholar profile of 1558 Citations, 27 h-index, 36 i10-index.

Profile: Google Scholar

Featured Publications

1. Thawkar, S., Sharma, S., Khanna, M., & Singh, L. K. (2021). Breast cancer prediction using a hybrid method based on butterfly optimization algorithm and ant lion optimizer. Computers in Biology and Medicine, 139, 104968.

2. Singh, L. K., Khanna, M., & Singh, R. (2023). Artificial intelligence based medical decision support system for early and accurate breast cancer prediction. Advances in Engineering Software, 175, 103338.

3. Singh, L. K., Pooja, Garg, H., Khanna, M., & Bhadoria, R. S. (2021). An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus. Medical & Biological Engineering & Computing, 59(2), 333–353.

4. Khanna, M., Singh, L. K., Thawkar, S., & Goyal, M. (2024). PlaNet: A robust deep convolutional neural network model for plant leaves disease recognition. Multimedia Tools and Applications, 83(2), 4465–4517.

5. Singh, L. K., Pooja, Garg, H., & Khanna, M. (2022). Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets. Evolving Systems, 13(6), 807–836.

Dr. Tahmineh Azizi | Neuroscience | Editorial Board Member

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Dr. Tahmineh Azizi | Neuroscience | Editorial Board Member

Research Associate | University of Wisconsin-Madison | United States

Dr. Tahmineh Azizi is a distinguished researcher whose work spans mathematical modeling, biomathematics, biostatistics, dynamical systems, and advanced neuroscience applications. Her scholarship brings a unique interdisciplinary synergy, using quantitative frameworks to address complex challenges in biological systems, physiology, and neuroscience. Dr. Azizi’s research encompasses fractal geometry, neural oscillations, physiological modeling, biodistribution analysis, and computational interpretations of human brain activity, all of which contribute significantly to global neuroscience discourse. Her contributions extend to innovative investigations in neural bursting, spiking behavior, seizure recognition, and stress modeling, strengthening the integration of applied mathematics with modern neuroscience. Through impactful publications on neuro-degenerative disease dynamics, fetal ECG complexity, epileptic network organization, and mental arithmetic–related brain activity, she continually advances the analytical depth of computational neuroscience. Dr. Azizi has collaborated widely across multidisciplinary teams, contributing to studies involving nanoparticle bioimaging, pharmacokinetics, environmental dynamics, urban climate analysis, and diverse physiological systems, demonstrating the far-reaching societal impact of her work. Her research in neuroscience is recognized for methodological rigor, conceptual innovation, and practical relevance, providing valuable insights to laboratories, clinical researchers, and computational scientists. She has authored multiple highly cited works and remains an influential figure in advancing global neuroscience research through her integration of mathematical tools with biological and neurological complexity. Dr. Azizi’s body of work exemplifies a commitment to precision, scientific integrity, and continued advancement of neuroscience, establishing her as a respected contributor in the international research community. Google Scholar profile of 427 Citations, 11 h-index, 13 i10-index.

Profile: Google Scholar

Featured Publications

1. Pitchaimani, A., Nguyen, T. D. T., Marasini, R., Eliyapura, A., Azizi, T., Jaberi-Douraki, M., & Aryal, S. (2019). Biomimetic natural killer membrane camouflaged polymeric nanoparticle for targeted bioimaging. Advanced Functional Materials, 29(4), 1806817.

2. Azizi, T. (2022). On the fractal geometry of gait dynamics in different neuro-degenerative diseases. In Clinical Applications of Fractals and Fractional Order Systems (pp. 129-149).

3. Riviere, J. E., Jaberi-Douraki, M., Lillich, J., Azizi, T., Joo, H., Choi, K., Thakkar, R., & Monteiro-Riviere, N. A. (2018). Modeling gold nanoparticle biodistribution after arterial infusion into perfused tissue: Effects of surface coating, size and protein corona. Nanotoxicology, 12(10), 1093–1112.

4. Azizi, T., & Mugabi, R. (2020). Global sensitivity analysis in physiological systems. Applied Mathematics, 11(3), 119–136.

5. Azizi, T., & Kerr, G. (2020). Chaos synchronization in discrete-time dynamical systems with application in population dynamics. Journal of Applied Mathematics and Physics, 8(03), 406.

Farzad Safari | Microbial Foren | Best Researcher Award

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Dr. Farzad Safari | Microbial Foren | Best Researcher Award

Researcher | Isfahan University of Medical Siences | Iran

Dr. Farzad Safari is a distinguished medical doctor and researcher at the School of Medicine, Isfahan University of Medical Sciences, with specialized expertise in internal medicine, gastroenterology, and nephrology. His scholarly work reflects a deep commitment to advancing diagnostic precision and therapeutic strategies in gastrointestinal and renal disorders, with a particular emphasis on colorectal cancer screening and biomarker discovery. Through extensive research collaborations with multidisciplinary teams, Dr. Safari has contributed to several influential studies exploring innovative screening methodologies that integrate fecal and blood-based diagnostic tests, microRNA profiling, and molecular markers to enhance early cancer detection and reduce the need for invasive procedures. His publications in reputable international journals such as The New England Journal of Medicine, Gastroenterology, BMC Gastroenterology, and Frontiers in Medicine demonstrate his ability to bridge clinical insight with translational research. As a reviewer for respected journals including Annals of Medicine and Surgery, International Journal of Surgery, and Frontiers in Medicine, he upholds rigorous academic standards and contributes to maintaining scientific integrity in medical publishing. Dr. Safari’s contributions not only enrich academic knowledge but also hold meaningful implications for public health policy and global disease prevention strategies, particularly in optimizing colorectal cancer screening programs in diverse populations. His collaborative research ethos, clinical acumen, and dedication to evidence-based medicine position him as a key contributor to the evolving landscape of internal medicine and gastroenterology, advancing both scientific understanding and patient care outcomes on a global scale.

Profiles: Google Scholar | Scopus | ORCID

Publications

1. Safari, F. R. S., & Noursina, A. (2024). Stool and blood DNA tests for colorectal cancer screening. The New England Journal of Medicine.

2. Noursina, A., & Safari, F. (2024). Enhancing colorectal cancer screening specificity by integrating fecal microRNA signature with fecal immunochemical test and fecal occult blood test. Gastroenterology.

3. Ghomashi, N., Safari, F., & Noursina, A. (2023). Reducing the need for colonoscopy with adjusted FIT and FOBT for stool weight and serum Hb levels. Frontiers in Medicine.

4. Soheilipour, M., Noursina, A., Nekookhoo, M., Malekpour, E., Mirzaei, S. A., et al. (2025). The pathobiont role of Akkermansia muciniphila in colorectal cancer: A systematic review. BMC Gastroenterology.

5. Baradaran, A., Mohammadi Jazi, B., Nekookhoo, M., Sabokrooh, Z., et al. (2025). A comprehensive analysis of integrating guaiac fecal occult blood test and fecal immunochemical test for colorectal cancer screening. Journal of Isfahan Medical School.

Xin Su | Infectious Diseases | Best Researcher Award

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Dr. Xin Su | Infectious Diseases | Best Researcher Award

Attending Physician | Nanjing University | China

Professor Xin Su, M.D., Ph.D., is a distinguished clinical scientist and Chief Physician renowned for his pioneering contributions to respiratory and critical care medicine, with particular expertise in the study and management of severe pulmonary infections. Over a distinguished career spanning nearly three decades, he has demonstrated an exceptional ability to bridge clinical excellence with translational research innovation. His work focuses on the pathogenesis, diagnosis, and treatment of invasive pulmonary aspergillosis (IPA) in non-neutropenic patients, a challenging and underexplored domain of pulmonary medicine. As a leading investigator, Professor Su has spearheaded multicenter studies that have transformed the understanding of pulmonary fungal infections, combining rigorous clinical observation with the use of novel diagnostic technologies, including machine learning and metagenomic sequencing. His publications in high-impact journals such as The Lancet Infectious Diseases, Microbiology Spectrum, Frontiers in Cellular and Infection Microbiology, and Clinical Microbiology and Infection reflect a deep commitment to advancing evidence-based practices and diagnostic accuracy in the field. Through his groundbreaking studies, Professor Su has introduced innovative diagnostic models that integrate big data analytics with clinical biomarkers, offering more precise and timely identification of IPA and related fungal diseases. Beyond diagnostics, his investigations into host immune responses, interferon signaling, and biomarker development have opened new avenues for prognostic assessment and personalized treatment strategies. His leadership roles as a Chief Physician, Professor, and Doctoral Supervisor at Nanjing University-affiliated hospitals underscore his dual impact as both a clinician and academic mentor. Colleagues and collaborators recognize his unique ability to unite global expertise, as evidenced by his participation in international research consortia addressing fungal infections and severe pneumonia outcomes. His scholarly rigor, coupled with his mentorship of young clinicians and researchers, has significantly enriched the field of respiratory and infectious disease research. While Professor Su’s scientific achievements are substantial, he continues to identify strategic growth areas that align with the evolving challenges of respiratory medicine. Expanding the clinical utility of machine learning-based diagnostic platforms, validating novel biomarkers in diverse patient populations, and enhancing global collaborative networks remain key objectives. Moreover, strengthening translational pathways that connect molecular diagnostics to frontline patient care is an ongoing priority, ensuring that innovations in the laboratory translate into improved clinical outcomes. Looking ahead, Professor Su’s future research aims to deepen the mechanistic understanding of host-pathogen interactions in fungal and viral co-infections, refine AI-driven diagnostic algorithms for pulmonary infections, and integrate multi-omics data into clinical decision-making frameworks. His vision is to establish an internationally recognized precision-medicine model for diagnosing and managing severe respiratory infections, ultimately contributing to reduced mortality, optimized therapeutic strategies, and global health resilience in the era of emerging respiratory pathogens. He has 2677 citations from 128 documents with an h-index of 28.

Profiles: Scopus | ORCID

Publications

1. Diagnostic and prognostic roles of interferon-λ1 and interferon-λ3 in bronchoalveolar lavage fluid and plasma in non-neutropenic patients with invasive pulmonary aspergillosis. (2025). Microbiology Spectrum.

2. Rapid and accurate diagnosis of severe pneumonia: Similarities and differences between severe community-acquired pneumonia and hospital-acquired pneumonia/ventilator-associated pneumonia. (2025). Chinese Journal of Tuberculosis and Respiratory Diseases.

3. Development and validation of a machine learning-based diagnostic model for identifying nonneutropenic invasive pulmonary aspergillosis in suspected patients: A multicenter cohort study. (2025). Microbiology Spectrum.

4. Expert consensus on cancer treatment-related lung injury. (2025). Journal of Thoracic Disease.

5. Pentraxin-3 as a novel prognostic biomarker in non-neutropenic invasive pulmonary aspergillosis patients. (2025). Microbiology Spectrum.

Dr. Margarita Kunin | fungal infection | Best Researcher Award

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Dr. Margarita Kunin | fungal infection | Best Researcher Award

Specialist Physician | Sheba Medical Center | Israel

Dr. Margarita Kunin, a distinguished nephrologist at the Nephrology and Hypertension Institute, Sheba Medical Center, Israel, has made remarkable contributions to understanding infectious and renal complications, particularly fungal infection in peritoneal dialysis. Her extensive medical education and specialized fellowships have equipped her with expertise spanning internal medicine, nephrology, and molecular pathology. Throughout her professional experience as an attending physician and academic instructor, she has focused her research on clinical nephrology, dialysis-related inflammation, and infection mechanisms, where fungal infection has been a central concern in her published studies. Her pioneering nationwide cohort study on fungal infection in peritoneal dialysis patients significantly advanced understanding of infection dynamics in immunocompromised individuals. Dr. Kunin’s research interests integrate molecular mechanisms of renal damage, inflammation, and fungal infection resistance pathways. She has earned recognition and academic honors for her impactful publications and mentorship in nephrology education. Her analytical and diagnostic research skills demonstrate precision in identifying fungal infection biomarkers and improving patient outcomes through preventive strategies. With a strong record of international collaborations, her clinical and laboratory achievements continue to strengthen infection control in renal healthcare. The synthesis of her studies highlights her continuous commitment to patient safety, infectious disease prevention, and renal innovation. Her academic excellence, leadership in fungal infection research, and publication record reflect a profound influence in nephrology and medical microbiology, supported by a Scopus profile of 302 Citations, 22 Documents, and an h-index of 10.

Profile: Scopus

Featured Publications

1. Hyperbilirubinemia-associated kidney injury: A retrospective analysis of clinical features, risk factors, and mortality. (2025). Journal of Nephrology.

2. Fungal peritonitis in peritoneal dialysis patients: A nationwide cohort study. (2025). European Journal of Clinical Microbiology and Infectious Diseases.

Yvonne Hernandez-Kapila | Infectious Diseases | Best Researcher Award

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Dr. Yvonne Hernandez-Kapila | Infectious Diseases | Best Researcher Award 

Professor | UCLA | United States

Dr. Yvonne L. Hernandez-Kapila is a distinguished clinician-scientist, academic leader, and global research contributor recognized for her transformative work in oral biology, periodontology, and cancer biology. As Professor and Associate Dean for Research at the UCLA School of Dentistry and the Felix and Mildred Yip Endowed Chair in Dentistry, her research has significantly advanced understanding of the molecular and cellular mechanisms underlying periodontal disease, oral cancer, and host-microbiome interactions. Her laboratory’s pioneering investigations into the oral-gut-brain axis, bacteriocin therapeutics, and oral virome have shaped new paradigms in microbial pathogenesis, inflammation, and regenerative oral health. A prolific author with more than a hundred peer-reviewed publications in leading journals such as NPJ Biofilms and Microbiomes, Journal of Biological Chemistry, PLOS Pathogens, and Cell Death and Differentiation, Dr. Kapila’s work bridges fundamental discovery with translational innovation. She has served as principal investigator on multiple NIH-funded projects, including major initiatives exploring host–bacterial dynamics and microbiome modulation in oral and systemic disease contexts. Her editorial leadership extends across several international journals and major textbooks, including Periodontology 2000 and Newman and Carranza’s Clinical Periodontology, where she continues to shape scholarly discourse in the field. Dr. Kapila has received numerous prestigious honors recognizing her scientific excellence, mentorship, and contributions to dental research, including awards from the American Dental Association, the American Academy of Periodontology, and the American Association for Dental Research. A dedicated mentor, she has guided over a hundred trainees and junior faculty toward successful academic and research careers worldwide, championing inclusivity, rigorous scientific methodology, and leadership development. Through her interdisciplinary collaborations and global initiatives, Dr. Kapila continues to influence the future of oral health sciences, biomolecular therapeutics, and translational medicine, establishing herself as a leading voice in advancing oral-systemic health research on an international scale. She has 8347 citations from 146 documents with an h-index of 47.

Profiles: Scopus | ORCID

Publications

1. B. lactis HN019 modulates periapical inflammation and enhances cementum repair by increasing CEMP-1 expression in an animal model. (2025). Archives of Oral Biology.

2. The antimicrobial peptide nisin promotes host cell survival during SARS-CoV-2 infection. (2025). Virology Journal.

3. Nisin lantibiotic prevents NAFLD liver steatosis and mitochondrial oxidative stress following periodontal disease by abrogating oral, gut and liver dysbiosis. (2024). NPJ Biofilms and Microbiomes.

4. Biological biomarkers of oral cancer. (2025). [Journal name not specified].

5. Nisin, a probiotic bacteriocin, modulates the inflammatory and microbiome changes in female reproductive organs mediated by polymicrobial periodontal infection. (2024). Microorganisms.