Mohan Deepa
Impact in
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Gestational Diabetes Research and Management 4
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- Diet, Metabolism, and Disease 2
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Co-authors
- Balaji Bhavadharini (3 shared papers)Ram Uma (3 shared papers)Viswanathan Mohan (4 shared papers)Anne B. Belton (2 shared papers)Arivudainambi Kayal (2 shared papers)Belma Malanda (2 shared papers)Ranjit Mohan Anjana (3 shared papers)Jayashree Gopal (1 shared paper)
In The Last Decade
Mohan Deepa
8 papers receiving 1.1k citations
Mohan Deepa's Hit Papers
Peers
Comparison fields: 5 of 119
- Obstetrics and Gynecology 108
- Endocrinology, Diabetes and Metabolism 169
- Public Health, Environmental and Occupational Health 198
- Nutrition and Dietetics 106
- Pharmacy 30
Countries citing papers authored by Mohan Deepa
This map shows the geographic impact of Mohan Deepa'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 Deepa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Deepa more than expected).
Fields of papers citing papers by Mohan Deepa
This network shows the impact of papers produced by Mohan Deepa. 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 Deepa. The network helps show where Mohan Deepa may publish in the future.
Co-authors
The 20 scholars most cited alongside Mohan Deepa, 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 | Rising rural body-mass index is the main driver of the global obesity epidemic in adults Hit paper breakdown → | 2019 | 549 |
| 2 | Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants Hit paper breakdown → | 2024 | 478 |
| 3 | 2017 | 63 | |
| 4 | 2016 | 42 | |
| 5 | 2021 | 34 | |
| 6 | 2025 | 5 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 0 |
About Mohan Deepa
Mohan Deepa is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Nephrology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (4 papers), Diet, Metabolism, and Disease (2 papers), Nutritional Studies and Diet (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Obesity, Physical Activity, Diet (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Obstetrics and Gynecology (108 citations), Endocrinology, Diabetes and Metabolism (169 citations), Public Health, Environmental and Occupational Health (198 citations), Nutrition and Dietetics (106 citations) and Pharmacy (30 citations). Mohan Deepa has collaborated with scholars based in India, Australia and Belgium. Frequent co-authors include Balaji Bhavadharini, Ram Uma, Viswanathan Mohan, Anne B. Belton, Arivudainambi Kayal, Belma Malanda, Ranjit Mohan Anjana, Jayashree Gopal, Ranjit Unnikrishnan and Hannah Beks. Their work appears in journals such as The Indian Journal of Medical Research, Diabetes Research and Clinical Practice, Nature Medicine, Acta Diabetologica and Nature.
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.