Ramesh Venkatesaperumal
- Endocrinology, Diabetes and Metabolism top 10%
- General Health Professions top 10%
- Public Health, Environmental and Occupational Health
- Research and Theory top 2%
- Epidemiology
- Co-authors
- Melba Sheila D’SouzaSubrahmanya Nairy KarkadaKader ParahooSusan AchoraArcalyd Rose CayabanNancy P. HanrahanJansirani NatarajanLeodoro J. Labrague
- Topics
- Diabetes Management and Education (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Chronic Disease Management Strategies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaNurse Education TodayReproductive Health
- Partner nations
- OmanUnited KingdomUnited States
In The Last Decade
Ramesh Venkatesaperumal
15 papers receiving 377 citations
Peers
Comparison fields: 5 of 72
- Endocrinology, Diabetes and Metabolism 137
- General Health Professions 110
- Public Health, Environmental and Occupational Health 92
- Research and Theory 85
- Epidemiology 83
Countries citing papers authored by Ramesh Venkatesaperumal
This map shows the geographic impact of Ramesh Venkatesaperumal'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 Ramesh Venkatesaperumal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Venkatesaperumal more than expected).
Fields of papers citing papers by Ramesh Venkatesaperumal
This network shows the impact of papers produced by Ramesh Venkatesaperumal. 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 Ramesh Venkatesaperumal. The network helps show where Ramesh Venkatesaperumal may publish in the future.
Co-authorship network of co-authors of Ramesh Venkatesaperumal
This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Venkatesaperumal. A scholar is included among the top collaborators of Ramesh Venkatesaperumal 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 Ramesh Venkatesaperumal. Ramesh Venkatesaperumal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 98 | |
| 4 | 16 | |
| 5 | 97 | |
| 6 | 24 | |
| 7 | 15 | |
| 8 | 27 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 45 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 27 | |
| 16 | 0 |
About Ramesh Venkatesaperumal
Ramesh Venkatesaperumal is a scholar working on Research and Theory, Radiological and Ultrasound Technology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include Diabetes Management and Education (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Chronic Disease Management Strategies (4 papers). The work is most often cited by research in Research and Theory (85 citations), Leadership and Management (27 citations) and Endocrinology, Diabetes and Metabolism (137 citations). Ramesh Venkatesaperumal has collaborated with scholars based in Oman, United Kingdom and United States. Frequent co-authors include Melba Sheila D’Souza, Subrahmanya Nairy Karkada, Kader Parahoo, Susan Achora, Arcalyd Rose Cayaban, Nancy P. Hanrahan, Jansirani Natarajan, Leodoro J. Labrague and Jennifer L. Walden. Their work appears in journals such as SHILAP Revista de lepidopterología, Nurse Education Today and Reproductive Health.
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.