Mohan Deepa
Impact in
- Parasitology top 10%
- Parasites and Host Interactions
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- Parasitic Diseases Research and Treatment
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 2
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- Obesity, Physical Activity, Diet 2
- Co-authors
- Viswanathan Mohan (6 shared papers)Subash Babu (2 shared papers)Vivekanandhan Aravindhan (2 shared papers)Jayagopi Surendar (2 shared papers)Karunakaran Indulekha (1 shared paper)Ramanujam Rajagopalan (1 shared paper)Thomas B. Nutman (1 shared paper)V. Kumaraswami (1 shared paper)
- Journals
- PLoS neglected tropical diseases (1 paper)Nature Medicine (1 paper)International Journal of Epidemiology (1 paper)Journal of Diabetes Science and Technology (1 paper)The Lancet Diabetes & Endocrinology (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Mohan Deepa
5 papers receiving 113 citations
Peers
Comparison fields: 5 of 39
- Parasitology 54
- Infectious Diseases 29
- Endocrine and Autonomic Systems 9
- Immunology 21
- Small Animals 6
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 25 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 | 2010 | 71 | |
| 2 | 2010 | 31 | |
| 3 | 2012 | 10 | |
| 4 | 2023 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2025 | 0 |
About Mohan Deepa
Mohan Deepa is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Immunology and Organizational Behavior and Human Resource Management, having authored 7 papers that have together received 115 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Global Public Health Policies and Epidemiology (2 papers), Obesity, Physical Activity, Diet (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Lymphatic System and Diseases (1 paper), Reproductive System and Pregnancy (1 paper) and Sleep and related disorders (1 paper). The work is most often cited by research in Parasitology (54 citations), Infectious Diseases (29 citations), Endocrine and Autonomic Systems (9 citations), Immunology (21 citations) and Small Animals (6 citations). Mohan Deepa has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Viswanathan Mohan, Subash Babu, Vivekanandhan Aravindhan, Jayagopi Surendar, Karunakaran Indulekha, Ramanujam Rajagopalan, Thomas B. Nutman, V. Kumaraswami, Anuradha Rajamanickam and Ranjit Mohan Anjana. Their work appears in journals such as PLoS neglected tropical diseases, Nature Medicine, International Journal of Epidemiology, Journal of Diabetes Science and Technology and The Lancet Diabetes & Endocrinology.
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.