Rashmi Kundapur
- Pathology and Forensic Medicine
- General Health Professions
- Clinical Psychology
- Neurology
- Applied Microbiology and Biotechnology top 5%
- Co-authors
- Lekha PanditAshwini KumarA. JainSanjay PattanshettyBhavesh ModiDeepak SaxenaAnimesh JainMagdy Kharoshah
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)COVID-19 epidemiological studies (5 papers)COVID-19 Pandemic Impacts (4 papers)
- Cited by
- Applied Microbiology and BiotechnologyGeriatrics and GerontologyPathology and Forensic Medicine
- Journals
- SHILAP Revista de lepidopterologíaMultiple Sclerosis JournalDiabetes & Metabolic Syndrome Clinical Research & Reviews
In The Last Decade
Rashmi Kundapur
44 papers receiving 329 citations
Peers
Comparison fields: 5 of 93
- Pathology and Forensic Medicine 84
- General Health Professions 83
- Clinical Psychology 67
- Neurology 61
- Applied Microbiology and Biotechnology 51
Countries citing papers authored by Rashmi Kundapur
This map shows the geographic impact of Rashmi Kundapur'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 Rashmi Kundapur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashmi Kundapur more than expected).
Fields of papers citing papers by Rashmi Kundapur
This network shows the impact of papers produced by Rashmi Kundapur. 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 Rashmi Kundapur. The network helps show where Rashmi Kundapur may publish in the future.
Co-authorship network of co-authors of Rashmi Kundapur
This figure shows the co-authorship network connecting the top 25 collaborators of Rashmi Kundapur. A scholar is included among the top collaborators of Rashmi Kundapur 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 Rashmi Kundapur. Rashmi Kundapur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 27 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | Association of obesity with physical activity, television viewing, video /computer gaming among school children in Mangalore | 0 |
| 19 | Quality assessment of immunization programme for children under five in davangere taluk of South India | 3 |
| 20 | 48 |
About Rashmi Kundapur
Rashmi Kundapur is a scholar working on Modeling and Simulation, Health and Neuropsychology and Physiological Psychology, having authored 53 papers that have together received 354 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), COVID-19 epidemiological studies (5 papers) and COVID-19 Pandemic Impacts (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (51 citations), Geriatrics and Gerontology (24 citations) and Pathology and Forensic Medicine (84 citations). Rashmi Kundapur has collaborated with scholars based in India, Germany and Nepal. Frequent co-authors include Lekha Pandit, Ashwini Kumar, A. Jain, Sanjay Pattanshetty, Bhavesh Modi, Deepak Saxena, Animesh Jain, Magdy Kharoshah, Stany W. Lobo and M Arun. Their work appears in journals such as SHILAP Revista de lepidopterología, Multiple Sclerosis Journal and Diabetes & Metabolic Syndrome Clinical Research & Reviews.
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.