Mohan T Shenoy
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- Diabetes Management and Research 2
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- Cardiovascular Function and Risk Factors 2
- Cardiovascular Disease and Adiposity 1
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- COVID-19 and Mental Health 3
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- COVID-19 and healthcare impacts 1
- Bone health and treatments 1
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 1
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- Infant Development and Preterm Care 1
- Co-authors
- Vineetha K. Ramdas NayakSanjay KalraTamara J. LeCaireJames H. SteinGary F. MitchellSündüz KeleşNancy K. SweitzerMari Palta
- Cited by
- Endocrinology, Diabetes and MetabolismGeneral DentistryCardiology and Cardiovascular Medicine
- Journals
- Diabetes Care (1 paper)Diabetes Research and Clinical Practice (1 paper)Journal of the Endocrine Society (1 paper)
- 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
- General Dentistry 7
- Cardiology and Cardiovascular Medicine 84
- Nephrology 18
- Epidemiology 74
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
The 25 scholars most cited alongside Mohan T Shenoy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 2 | |
| 8 | Triglyceride Glucose (TyG) Index: A surrogate biomarker of insulin resistancebreakdown → | 2022 | 189 |
| 9 | 2022 | 0 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 22 | |
| 13 | 2020 | 2 | |
| 14 | 2017 | 7 | |
| 15 | 2014 | 5 | |
| 16 | 2007 | 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), Diabetes Management and Research (2 papers), COVID-19 and healthcare impacts (1 paper), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Bone health and treatments (1 paper), Cardiovascular Disease and Adiposity (1 paper) and Infant Development and Preterm Care (1 paper). 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 Diabetes Care, Diabetes Research and Clinical Practice, Journal of the Endocrine Society, Clinical Epidemiology and Global Health and SHILAP Revista de lepidopterología.
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.