Ashwin Kumar Ramesh
Impact in
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 12
- Clostridium difficile and Clostridium perfringens research 4
-
- Animal Virus Infections Studies 7
- Co-authors
- Lijuan Yuan (14 shared papers)Shaohua Lei (9 shared papers)Erica L. Twitchell (8 shared papers)Guohua Li (5 shared papers)Ke Wen (5 shared papers)Xi Jiang (7 shared papers)Tammy Bui (6 shared papers)Elizabeth P. Ryan (2 shared papers)
- Journals
- Scientific Reports (3 papers)Vaccines (2 papers)Viruses (2 papers)Vaccine X (1 paper)Gut Pathogens (1 paper)
- Partner nations
- United StatesArgentinaIndonesia
In The Last Decade
Ashwin Kumar Ramesh
16 papers receiving 406 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 224
- Animal Science and Zoology 94
- Endocrinology 19
- Cardiology and Cardiovascular Medicine 61
- Nutrition and Dietetics 40
Countries citing papers authored by Ashwin Kumar Ramesh
This map shows the geographic impact of Ashwin Kumar Ramesh'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 Ashwin Kumar Ramesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Kumar Ramesh more than expected).
Fields of papers citing papers by Ashwin Kumar Ramesh
This network shows the impact of papers produced by Ashwin Kumar Ramesh. 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 Ashwin Kumar Ramesh. The network helps show where Ashwin Kumar Ramesh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Kumar Ramesh, 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 | 2016 | 81 | |
| 2 | 2015 | 60 | |
| 3 | 2016 | 56 | |
| 4 | 2016 | 56 | |
| 5 | 2016 | 37 | |
| 6 | 2020 | 27 | |
| 7 | 2019 | 21 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 15 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 0 |
About Ashwin Kumar Ramesh
Ashwin Kumar Ramesh is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Immunology and Hepatology, having authored 17 papers that have together received 414 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (7 papers), Viral Infections and Immunology Research (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Influenza Virus Research Studies (2 papers), CRISPR and Genetic Engineering (1 paper), Advanced Thermodynamic Systems and Engines (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (224 citations), Animal Science and Zoology (94 citations), Endocrinology (19 citations), Cardiology and Cardiovascular Medicine (61 citations) and Nutrition and Dietetics (40 citations). Ashwin Kumar Ramesh has collaborated with scholars based in United States, Argentina and Indonesia. Frequent co-authors include Lijuan Yuan, Shaohua Lei, Erica L. Twitchell, Guohua Li, Ke Wen, Xi Jiang, Tammy Bui, Elizabeth P. Ryan, Jacob Kocher and Xing-Dong Yang. Their work appears in journals such as Scientific Reports, Vaccines, Viruses, Vaccine X and Gut Pathogens.
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.