Jay Patel

22.0k citations
57 papers · 1.1k · h-index 18

Impact in

Papers in

Jay Patel

50 papers receiving 1.0k citations

Peers

Jay Patel
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 242
  • Cardiology and Cardiovascular Medicine 274
  • Pharmacy 59
  • Urology 49
  • Epidemiology 202
Replace Danuta Zwołińska with:
Danuta Zwołińska Poland
Małgorzata Myśliwiec Poland
Betty Wong Canada
Jee‐Hyun Kang South Korea
B. Zouari Tunisia
Zefeng Xu China
Arnab Pal India
José Mendes Aldrighi Brazil
Susan Lerner United States
Bülent Canbaz Türkiye
Jay Patel relative to Danuta Zwołińska Poland Danuta Zwołińska's profile →
Citations per field
00.5×3.7×
Danuta Zwołińska · 1×
Citations per year

Countries citing papers authored by Jay Patel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jay Patel Line = papers co-authored together Jay Patel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008250
2 2006186
3 200853
4 201446
5 200739
6 200835
7 200731
8 200730
9 200929
10 200727
11 200726
12 201025
13 200623
14 200823
15 200721
16 200621
17 201618
18 200917
19 202216
20 200916

About Jay Patel

Jay Patel is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases, Surgery 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 (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Pneumonia and Respiratory Infections (5 papers), Blood Pressure and Hypertension Studies (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Diet and metabolism studies (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (242 citations), Cardiology and Cardiovascular Medicine (274 citations), Pharmacy (59 citations), Urology (49 citations) and Epidemiology (202 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, Edward Janus, Federica Barzi, Rachel Huxley, Scott A. Lear and Ian D. Caterson. Their work appears in journals such as Journal of Internal Medicine, Journal of Human Hypertension, International Journal of Clinical Practice, BMC Primary Care and Journal of Thrombosis and Haemostasis.

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.

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