Jay Patel
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Urology top 10%
- Periodontal Regeneration and Treatments
Papers in
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- Tuberculosis Research and Epidemiology 12
- COVID-19 Clinical Research Studies 3
- Surgery 9
- Infectious Diseases and Tuberculosis 4
- Lipoproteins and Cardiovascular Health 3
- Co-authors
- Gregory Y.H. Lip (14 shared papers)Antonio Tello‐Montoliu (2 shared papers)Elizabeth Hughes (5 shared papers)Elizabeth Hughes (8 shared papers)Dorairaj Prabhakaran (4 shared papers)Federica Barzi (2 shared papers)Ian D. Caterson (2 shared papers)Scott A. Lear (2 shared papers)
- Journals
- Journal of Internal Medicine (5 papers)Journal of Human Hypertension (4 papers)International Journal of Clinical Practice (4 papers)European Heart Journal (2 papers)BMC Primary Care (2 papers)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Jay Patel
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 122
- Endocrinology, Diabetes and Metabolism 184
- Urology 49
- Pharmacy 35
- Cardiology and Cardiovascular Medicine 162
- Epidemiology 141
Countries citing papers authored by Jay Patel
This map shows the geographic impact of Jay 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 Jay Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Patel more than expected).
Fields of papers citing papers by Jay Patel
This network shows the impact of papers produced by Jay 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 Jay Patel. The network helps show where Jay Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 254 | |
| 2 | 2006 | 188 | |
| 3 | 2008 | 53 | |
| 4 | 2014 | 46 | |
| 5 | 2007 | 40 | |
| 6 | 2008 | 35 | |
| 7 | 2007 | 32 | |
| 8 | 2007 | 31 | |
| 9 | 2009 | 29 | |
| 10 | 2007 | 26 | |
| 11 | 2007 | 26 | |
| 12 | 2010 | 25 | |
| 13 | 2008 | 23 | |
| 14 | 2006 | 23 | |
| 15 | 2007 | 22 | |
| 16 | 2022 | 22 | |
| 17 | 2006 | 21 | |
| 18 | 2016 | 18 | |
| 19 | 2009 | 17 | |
| 20 | 2022 | 17 |
About Jay Patel
Jay Patel is a scholar working on Infectious Diseases, Surgery, Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Infectious Diseases and Tuberculosis (4 papers), Diet and metabolism studies (3 papers), Angiogenesis and VEGF in Cancer (3 papers), COVID-19 Clinical Research Studies (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (184 citations), Urology (49 citations), Pharmacy (35 citations), Cardiology and Cardiovascular Medicine (162 citations) and Epidemiology (141 citations). Jay Patel has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Gregory Y.H. Lip, Antonio Tello‐Montoliu, Elizabeth Hughes, Elizabeth Hughes, Dorairaj Prabhakaran, Federica Barzi, Ian D. Caterson, Scott A. Lear, Rachel Huxley and Mark Woodward. Their work appears in journals such as Journal of Internal Medicine, Journal of Human Hypertension, International Journal of Clinical Practice, European Heart Journal and BMC Primary Care.
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.