Mohan Deepa

1.3k total citations
7 papers, 115 citations indexed

About

Mohan Deepa is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mohan Deepa has authored 7 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mohan Deepa's work include Obesity, Physical Activity, Diet (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Mohan Deepa is often cited by papers focused on Obesity, Physical Activity, Diet (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Mohan Deepa collaborates with scholars based in India, United States and Australia. Mohan Deepa's co-authors include Viswanathan Mohan, Subash Babu, Jayagopi Surendar, Vivekanandhan Aravindhan, Karunakaran Indulekha, Ramanujam Rajagopalan, V. Kumaraswami, Thomas B. Nutman, Anuradha Rajamanickam and Sailesh Mohan and has published in prestigious journals such as Nature Medicine, International Journal of Epidemiology and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Mohan Deepa

5 papers receiving 113 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohan Deepa India 3 54 29 21 21 20 7 115
Josephine Tumusiime United Kingdom 8 43 0.8× 22 0.8× 43 2.0× 25 1.2× 11 0.6× 10 150
Karin de Ruiter Netherlands 9 129 2.4× 44 1.5× 15 0.7× 58 2.8× 21 1.1× 11 235
Floriana Gernone Italy 8 34 0.6× 26 0.9× 34 1.6× 13 0.6× 69 3.5× 32 223
Christopher Zziwa United Kingdom 4 28 0.5× 13 0.4× 10 0.5× 14 0.7× 8 0.4× 5 71
Carlos Eduardo Lucena Montenegro Brazil 4 75 1.4× 17 0.6× 3 0.1× 10 0.5× 11 0.6× 10 106
Sabine Schranz Austria 4 31 0.6× 101 3.5× 18 0.9× 30 1.4× 42 2.1× 6 205
Maria Kitchen Austria 7 11 0.2× 47 1.6× 14 0.7× 24 1.1× 47 2.4× 16 194
Beatrice Nassanga United Kingdom 4 34 0.6× 15 0.5× 31 1.5× 19 0.9× 9 0.5× 5 93
Lucas Sousa Magalhães Brazil 10 30 0.6× 48 1.7× 9 0.4× 45 2.1× 70 3.5× 23 226
R A Bumb India 9 32 0.6× 25 0.9× 43 2.0× 20 1.0× 134 6.7× 17 320

Countries citing papers authored by Mohan Deepa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mohan Deepa

This figure shows the co-authorship network connecting the top 25 collaborators of Mohan Deepa. A scholar is included among the top collaborators of Mohan Deepa 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 Deepa. Mohan Deepa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Patel, Shivani A., Dimple Kondal, Mohan Deepa, et al.. (2025). Lessons from a long cohort study of diabetes in South Asia. Nature Medicine. 31(12). 3971–3975. 1 indexed citations
2.
Gupta, Rajeev, Dimple Kondal, Sailesh Mohan, et al.. (2025). Association of age at menarche with type 2 diabetes mellitus among urban Indian women: results from the CARRS study. International Journal of Epidemiology. 54(3).
3.
Anjana, Ranjit Mohan, Wesley Hannah, Mohan Deepa, & Rajendra Pradeepa. (2024). Burden of non-communicable diseases in India: Findings from the ICMR-INDIAB study. International Journal of Diabetes in Developing Countries. 44(4). 635–643.
4.
Anjana, Ranjit Mohan, Elangovan Nirmal, Rajendra Pradeepa, et al.. (2023). Challenges in implementing nationwide epidemiological studies on metabolic non-communicable diseases in low-income and middle-income countries. The Lancet Diabetes & Endocrinology. 11(12). 889–891. 2 indexed citations
5.
Aravindhan, Vivekanandhan, Viswanathan Mohan, Jayagopi Surendar, et al.. (2012). Effect of Filarial Infection on Serum Inflammatory and Atherogenic Biomarkers in Coronary Artery Disease (CURES-121). American Journal of Tropical Medicine and Hygiene. 86(5). 828–833. 10 indexed citations
6.
Aravindhan, Vivekanandhan, Viswanathan Mohan, Jayagopi Surendar, et al.. (2010). Decreased Prevalence of Lymphatic Filariasis among Diabetic Subjects Associated with a Diminished Pro-Inflammatory Cytokine Response (CURES 83). PLoS neglected tropical diseases. 4(6). e707–e707. 71 indexed citations
7.
Deepa, Mohan, et al.. (2010). Prevalence of Sleep Abnormalities and Their Association with Metabolic Syndrome among Asian Indians: Chennai Urban Rural Epidemiology Study (CURES − 67). Journal of Diabetes Science and Technology. 4(6). 1524–1531. 31 indexed citations

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.

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