Mohan T Shenoy
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Surgery
- Physiology
- Co-authors
- Vineetha K. Ramdas NayakSanjay KalraTamara J. LeCaireJames H. SteinGary F. MitchellSündüz KeleşNancy K. SweitzerMari Palta
- Topics
- COVID-19 and Mental Health (3 papers)Cardiovascular Function and Risk Factors (2 papers)Diabetes Management and Research (2 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismGeneral DentistryCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterologíaDiabetes CareDiabetes Research and Clinical Practice
- Partner nations
- IndiaBangladeshEgypt
In The Last Decade
Mohan T Shenoy
12 papers receiving 263 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 103
- Cardiology and Cardiovascular Medicine 84
- Epidemiology 74
- Surgery 45
- Physiology 34
Countries citing papers authored by Mohan T Shenoy
This map shows the geographic impact of Mohan T Shenoy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohan T Shenoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan T Shenoy more than expected).
Fields of papers citing papers by Mohan T Shenoy
This network shows the impact of papers produced by Mohan T Shenoy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohan T Shenoy. The network helps show where Mohan T Shenoy may publish in the future.
Co-authorship network of co-authors of Mohan T Shenoy
This figure shows the co-authorship network connecting the top 25 collaborators of Mohan T Shenoy. A scholar is included among the top collaborators of Mohan T Shenoy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohan T Shenoy. Mohan T Shenoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | Triglyceride Glucose (TyG) Index: A surrogate biomarker of insulin resistancebreakdown → | 189 |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 22 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 32 |
About Mohan T Shenoy
Mohan T Shenoy is a scholar working on Endocrinology, Diabetes and Metabolism, Health Information Management and Pharmacy, having authored 16 papers that have together received 268 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (3 papers), Cardiovascular Function and Risk Factors (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (103 citations), General Dentistry (7 citations) and Cardiology and Cardiovascular Medicine (84 citations). Mohan T Shenoy has collaborated with scholars based in India, Bangladesh and Egypt. Frequent co-authors include Vineetha K. Ramdas Nayak, Sanjay Kalra, Tamara J. LeCaire, James H. Stein, Gary F. Mitchell, Sündüz Keleş, Nancy K. Sweitzer, Mari Palta, K T Shenoy and Andrew Thomas. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Diabetes Research and Clinical Practice.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.