Ankit Patel
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Cell Biology top 5%
- Cellular Mechanics and Interactions
Papers in
-
- Ion Transport and Channel Regulation 4
- Surgery 8
- Pancreatic function and diabetes 3
- Co-authors
- Ashish Verma (12 shared papers)Radhika Nagpal (3 shared papers)Matthew C. Gibson (3 shared papers)Norbert Perrimon (1 shared paper)Jigar V. Patel (1 shared paper)Merlin Thomas (1 shared paper)Tirth Panchal (1 shared paper)Lawrence G. Palmer (4 shared papers)
- Journals
- Trends in Endocrinology and Metabolism (3 papers)American Journal of Physiology-Renal Physiology (2 papers)New England Journal of Medicine (2 papers)Clinical Otolaryngology (2 papers)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Ankit Patel
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 164
- Infectious Diseases 315
- Cell Biology 250
- Endocrinology, Diabetes and Metabolism 205
- Modeling and Simulation 48
- Reproductive Medicine 84
Countries citing papers authored by Ankit Patel
This map shows the geographic impact of Ankit Patel'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 Ankit Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Patel more than expected).
Fields of papers citing papers by Ankit Patel
This network shows the impact of papers produced by Ankit Patel. 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 Ankit Patel. The network helps show where Ankit Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Patel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 316 | |
| 2 | 2020 | 280 | |
| 3 | 2016 | 258 | |
| 4 | 1992 | 182 | |
| 5 | 2021 | 97 | |
| 6 | 2014 | 75 | |
| 7 | 2012 | 66 | |
| 8 | 2022 | 57 | |
| 9 | 2011 | 51 | |
| 10 | 2015 | 49 | |
| 11 | 2017 | 42 | |
| 12 | 2009 | 41 | |
| 13 | 2021 | 34 | |
| 14 | 2004 | 29 | |
| 15 | 2008 | 25 | |
| 16 | 2012 | 23 | |
| 17 | 2012 | 23 | |
| 18 | 2020 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2016 | 18 |
About Ankit Patel
Ankit Patel is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Electrolyte and hormonal disorders (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Ion Transport and Channel Regulation (4 papers), Pancreatic function and diabetes (3 papers), Dialysis and Renal Disease Management (3 papers), Innovations in Medical Education (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Infectious Diseases (315 citations), Cell Biology (250 citations), Endocrinology, Diabetes and Metabolism (205 citations), Modeling and Simulation (48 citations) and Reproductive Medicine (84 citations). Ankit Patel has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Ashish Verma, Radhika Nagpal, Matthew C. Gibson, Norbert Perrimon, Jigar V. Patel, Merlin Thomas, Tirth Panchal, Lawrence G. Palmer, Ian F. Godsland and Carl V. Felton. Their work appears in journals such as Trends in Endocrinology and Metabolism, American Journal of Physiology-Renal Physiology, New England Journal of Medicine, Clinical Otolaryngology and Nature.
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.