Best Researcher Award
Vinay Chandramouli Bellur – Ramaiah Medical College, India
Vinay Chandramouli Bellur is a medical researcher affiliated with Ramaiah Medical College whose documented scholarly activity spans internal medicine, cardiology, oncology, gastroenterology, and related clinical research areas. The supplied Google Scholar record includes systematic reviews, meta-analyses, clinical outcome investigations, and conference publications. His recent research involvement includes cardiovascular interventions, gastrointestinal disorders, cancer research, neurological treatment, and artificial intelligence applications in medicine.[1]
Abstract
The research profile of Vinay Chandramouli Bellur reflects multidisciplinary participation in contemporary medical research, particularly through evidence synthesis and collaborative clinical investigations. The available record includes work related to cardiovascular disease, gastrointestinal medicine, oncology, neurology, and artificial intelligence. Several listed studies use systematic review and meta-analysis methodology to evaluate clinical evidence across specific diagnostic, therapeutic, and outcome-related questions.[1]
Keywords
Surgical Oncology; Clinical Research; Systematic Review; Meta-analysis; Cardiology; Gastroenterology; Oncology; Artificial Intelligence; Medical Imaging; Evidence Synthesis
Introduction
Bellur’s documented research activities demonstrate involvement in multiple areas of clinical and translational medicine. The supplied publication record contains studies addressing interventional cardiology, esophageal surgery, liver disease, neurological treatment, cancer therapeutics, and diagnostic applications of artificial intelligence. This range is particularly relevant to modern clinical research because systematic evidence assessment can connect findings from different specialties and help identify areas requiring additional investigation.[2]
Research Profile
The supplied researcher information identifies Ramaiah Medical College as Bellur’s affiliation and Surgical Oncology as the stated subject area. The Google Scholar document describes him as a medical student and lists research interests encompassing internal medicine, cardiology, oncology, and gastroenterology.[1] The supplied award data records three documents, 594 citations, and an h-index of 1, while the Google Scholar snapshot captured on 21 September 2026 displays 584 citations and an h-index of 1. These database figures can vary according to indexing and update timing.
Research Contributions
A central component of the documented work is systematic evidence synthesis. Bellur is listed among the authors of research examining intraoperative nerve monitoring during esophagectomy, with the study using systematic review and meta-analysis methodology.[5] Other contributions address IVUS-guided versus angiography-guided PCI, artificial intelligence for liver fibrosis diagnosis, and MRI-based radiomics for predicting molecular characteristics of glioblastoma. These studies connect clinical medicine with quantitative evidence evaluation and emerging diagnostic technologies.[2][3][4]
Publications
The available publication record contains articles and conference abstracts published across several established medical journals. Listed works include research in the Journal of the American College of Cardiology, Gastrointestinal Endoscopy, Journal of Clinical Oncology, Neurology, and Journal of Gastrointestinal Surgery Open.[1] The topics range from cardiovascular interventions and perioperative monitoring to gastrointestinal disease, cancer outcomes, neurological treatment, and computational diagnostic methods. This publication distribution illustrates participation in collaborative research addressing diverse clinical questions.
Research Impact
Citation activity in the supplied Google Scholar record indicates substantial visibility for some collaborative publications. The listed cardiovascular burden study, for example, is displayed with 577 citations in the supplied snapshot, while several other publications from 2025 and 2026 have begun receiving citations.[1] Citation counts should be interpreted in relation to publication date, article type, collaborative authorship, and database coverage. The available evidence therefore provides a quantitative indication of scholarly attention while retaining the limitations inherent to citation-based assessment.
Award Suitability
The documented profile provides several research indicators relevant to an academic recognition article, including indexed publications, citation activity, multidisciplinary collaboration, and participation in systematic reviews and meta-analyses. His listed research also connects conventional clinical investigation with emerging technologies such as artificial intelligence and medical radiomics. These documented activities provide the academic basis for presenting Bellur in connection with the Best Researcher Award at the World Top Scientists Awards. Award evaluation itself remains subject to the criteria and procedures established by the awarding organization.
Conclusion
Vinay Chandramouli Bellur’s available research record represents multidisciplinary clinical scholarship with particular involvement in systematic reviews, meta-analyses, and collaborative medical investigations. His documented topics include cardiovascular medicine, gastrointestinal research, oncology, neurology, surgical outcomes, and artificial intelligence-assisted diagnosis. The combination of recent research activity and established citation visibility provides a substantive scholarly profile for academic recognition. The information presented here is based on the supplied researcher data and Google Scholar publication record.
External Links
References
- Google Scholar. (2026). Vinay Chandramouli Bellur — Google Scholar profile and publication record.
https://scholar.google.com/citations?user=4CwA1r0AAAAJ&hl=en
- Babu Naidu, K. B., Bellur, V. C., Prasad, A., et al. (2025). TCT-675 Intravascular Ultrasonography (IVUS) Versus Angiography-Guided Percutaneous Coronary Intervention in Acute Coronary Syndrome: A Systematic Review and Meta-Analysis. Journal of the American College of Cardiology, 86(17_Supplement), B294.
https://doi.org/10.1016/j.jacc.2025.09.829
- Babu Naidu, K. B., Bellur, V. C., Oudit, O., Prasad, A., et al. (2025). S2534 Diagnostic Accuracy of Artificial Intelligence in the Diagnosis of Liver Fibrosis: A Systematic Review and Meta Analysis. The American Journal of Gastroenterology, 120(10S2), S544.
https://doi.org/10.14309/01.ajg.0001137596.28464.e8
- Belankar, S., Bhavanam, S., Prasad, A., Rao, A. N., Chitlur, H., Bellur, V. C., et al. (2025). MRI-based radiomics for prediction of isocitrate dehydrogenase subtype in glioblastoma multiforme through artificial intelligence models: A systematic review and meta analysis. Journal of Clinical Oncology, 43(16_suppl), 2074.
https://doi.org/10.1200/JCO.2025.43.16_suppl.2074
- Rao, A. N., Bellur, V. C., Prasad, A., Karaveetil, S. C., Narayan, S., Raj, A., et al. (2026). Outcomes of Intraoperative Nerve Monitoring During Esophagectomy: A Systematic Review and Meta-Analysis. Journal of Gastrointestinal Surgery Open, 100025.
https://doi.org/10.1016/j.jogsop.2026.100025