Fei Chen | Histopathology & Cytology | Research Excellence Award

Dr. Fei Chen | Histopathology & Cytology | Research Excellence Award

Assistant Profesor | NYU Grossman school of Medicine | United States

Dr. Fei Chen is a clinician-scientist and academic pathologist with a sustained research focus on molecular pathology, cytopathology, and translational diagnostics. Their scholarly work spans cancer genomics, liquid biopsy, molecular testing of cytology specimens, and the integration of advanced technologies such as next-generation sequencing and artificial intelligence into diagnostic pathology. With 16 peer-reviewed documents, their publications appear in high-impact journals across pathology, oncology, and molecular medicine, reflecting contributions to bladder, prostate, thyroid, lung, and neurodegenerative disease research. This body of work has accrued approximately 75 citations, underscoring its relevance and influence within the research community. An h-index of 5 highlights consistent scholarly impact across multiple publications. In addition to original research and systematic reviews, their work includes multi-institutional studies and method-validation research that bridges laboratory innovation with clinical application, contributing to evidence-based advancements in modern diagnostic and molecular pathology.

Citation Metrics (Scopus)

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75
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16
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5
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h-index

Featured Publications

Marilyn Bui | Histopathology & Cytology | Outstanding Contribution to Medical Science Award

Prof. Dr. Marilyn Bui | Histopathology & Cytology | Outstanding Contribution to Medical Science Award

Professor Physician | Moffitt Cancer Center | United States

Dr. Marilyn Bui is a highly accomplished research-driven scientist whose scholarly work has made a substantial impact across pathology, oncology, digital pathology, and artificial intelligence–enabled diagnostics. Her research portfolio comprises 209 peer-reviewed publications, reflecting sustained productivity and leadership in translational and computational pathology. With 10,095 citations and an h-index of 51, her work demonstrates strong global influence and consistent citation performance across high-impact journals. Her research contributions span tumor biology, soft tissue and bone pathology, radiomics, digital and computational pathology, machine learning applications in diagnostics, and biomarker-driven precision medicine. She has played a pivotal role in advancing evidence-based pathology standards, multi-institutional consensus guidelines, and AI validation frameworks for clinical implementation. Through interdisciplinary collaborations, her research bridges molecular pathology, imaging analytics, and data science, supporting clinically actionable insights and innovation in cancer diagnostics. Her sustained citation impact and extensive publication record underscore her standing as a leading contributor to contemporary biomedical and translational pathology research.

Citation Metrics (Scopus)

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10,095
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209
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51
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h-index

Featured Publications

Vasileios Ediaroglou | Public Health & Epidemiology | Young Medical Scientist Award

Mr. Vasileios Ediaroglou | Public Health & Epidemiology | Young Medical Scientist Award

Aristotle University of Thessaloniki | Greece

Mr. Vasileios Ediaroglou is an emerging researcher with a focused academic portfolio spanning anatomical sciences, clinical anatomy, digital health, and medical education. His scholarly output comprises 6 peer-reviewed research documents, reflecting contributions to original research, systematic reviews, and clinically relevant case reports published in indexed journals. His work has attracted 73 citations, demonstrating growing academic visibility and relevance within the biomedical research community, with an established h-index of 2. His research interests integrate morphological variability, surgical anatomy, artificial intelligence applications in medical education, and technology-assisted clinical monitoring. He has contributed to multidisciplinary collaborations, consensus documents, and evidence-based analyses that bridge foundational anatomy with translational and clinical significance. In addition to authorship, he has participated in peer review activities and academic dissemination through oral and poster presentations at national and international scientific conferences. His research trajectory reflects a commitment to methodologically sound investigation, collaborative scholarship, and the advancement of contemporary medical science through data-driven and innovation-oriented research.

Citation Metrics (Scopus)

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73
Citations

6
Documents

2
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Featured Publications

Xiangli Li | Artificial Intelligence in Diagnostics | Excellence in Research Award

Dr. Xiangli Li | Artificial Intelligence in Diagnostics | Excellence in Research Award

Doctoral Student | Wuhan University | China

Dr. Xiangli Li is a research-focused scientist specializing in artificial intelligence–driven medical image analysis and multimodal clinical data interpretation. The research portfolio comprises 26 citations, an h-index of 3, and 8 peer-reviewed research documents published in indexed journals and conference proceedings. Scholarly work emphasizes deep learning, computer vision, and multimodal neural network architectures applied to diagnostic pathology, with particular impact in thyroid cytology classification and decision-support systems. Publications demonstrate consistent contributions to translational medical AI, advancing accuracy, robustness, and clinical relevance of computational models. The research output reflects steady citation growth, interdisciplinary relevance, and measurable scientific influence within medical informatics and applied artificial intelligence. Collectively, these works contribute to evidence-based diagnostic innovation, strengthening the integration of advanced AI methodologies into modern biomedical research and clinical practice.

Citation Metrics (Scopus)

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26
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8
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3
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Featured Publications

Hamid Rehman | Microbiology | Research Excellence Award

Dr. Hamid Rehman | Microbiology | Research Excellence Award

Doctor | Yıldız Technical University | Turkey

Dr. Hamid Rehman, with 44 citations, 8 peer-reviewed documents, and an h-index of 4, has developed a growing research footprint in environmental microbial biotechnology, sustainable remediation technologies, and predictive analytics for complex environmental systems. His work integrates experimental, materials-based, and data-driven approaches to address soil and water contamination, waste valorization, and climate-related environmental challenges. Dr. Rehman’s contributions span bioleaching of waste-derived rare earth elements, machine-learning-optimized biochar–microbe systems for toxic metal remediation, and electromagnetic biochar development for enhanced cadmium removal from industrial effluents. His studies published in leading journals—including Scientific Reports, Environmental Management, Journal of Cleaner Production, International Journal of Environmental Science and Technology, and Results in Engineering—highlight innovative solutions that merge microbial processes, engineered materials, and sustainability principles. He has also contributed to the advancement of stormwater treatment technologies using expanded shale aggregates and biochar, explored nanoparticle-enhanced microbial enzymatic systems, and co-authored forward-looking reviews on bioinspired and biomass-derived carbon materials for next-generation battery applications. Dr. Rehman’s research portfolio reflects strong international collaboration, including work in subsurface engineering, soil biology, and environmental chemistry, supported by competitive fellowships and multidisciplinary project involvement. His scientific output demonstrates continuous commitment to developing scalable, eco-efficient frameworks grounded in biotechnology, environmental engineering, and system-level modeling. In addition to his publications, Dr. Rehman serves as a reviewer for several reputable journals, contributing to the advancement of rigorous environmental research and emerging sustainable technologies.

Profiles: Scopus | ORCID  

Featured Publications

Deyin Zhang | Genetics | Editorial Board Member

Dr. Deyin Zhang |  Biochemistry | Editorial Board Member

Post Doctor | Lanzhou University | China

Dr. De-yin Zhang is an emerging scholar whose scientific contributions encompass 790 citations, 72 documents, and an h-index of 16, reflecting significant impact in the fields of animal genomics and functional regulatory biology. His work spans comprehensive epigenome mapping, structural genomic analysis, and molecular mechanisms underlying economically important traits in sheep, including feed efficiency, tail-fat deposition, growth performance, and rib number variation. As a doctoral and postdoctoral researcher at Lanzhou University, he has developed expertise in multi-tissue epigenetic atlas construction, genome-wide association studies, whole-genome resequencing, and the characterization of non-coding RNAs, contributing to major publications in high-quality journals such as iMeta, Journal of Integrative Agriculture, Zoological Research, BMC Genomics, and Frontiers in Veterinary Science. His research has revealed novel loci, regulatory elements, and functional mutations associated with key production traits, advancing understanding of both domestication processes and targeted breeding strategies. Dr. Zhang also serves as an ad hoc reviewer for several international journals and has co-led a Frontiers research topic on livestock epigenetics and multi-omics. His scientific excellence has been recognized through competitive grants, including provincial innovation awards and roles in national R&D and NSFC-funded projects focused on feed conversion biology and tail-fat regulatory mechanisms. Through integrative omics approaches and sustained scholarly productivity, Dr. Zhang continues to contribute valuable resources and insights to modern animal genetics and precision livestock breeding.

Profile: Scopus 

Featured Publications