Jay Patel

59 papers receiving 1.2k citations

Jay Patel's Hit Papers

Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023 2025 · 36 citations
360Years since publication102030

Peers

Jay Patel
Comparison fields: 5 of 125
  • Endocrinology, Diabetes and Metabolism 203
  • Cardiology and Cardiovascular Medicine 198
  • Urology 51
  • Pharmacy 36
  • Epidemiology 162
Replace Rosalinda Posadas‐Sánchez with:
Rosalinda Posadas‐Sánchez Mexico
Arnab Pal India
Susan Lerner United States
Min‐Jeong Oh South Korea
Janet R. Williams Australia
Ying Ying Leung Singapore
Sara A. Farmer United States
Catherine Rolland United Kingdom
Gianluca Buffone Italy
Henry Anhalt United States
Jay Patel relative to Rosalinda Posadas‐Sánchez Mexico Rosalinda Posadas‐Sánchez's profile →
Citations per field
00.5×2×4×6.4×
Rosalinda Posadas‐Sánchez · 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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008263
2 2006196
3 200855
4 201448
5 200739
6 200837
7
Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023
Hit paper breakdown →
202536
8 200735
9 200735
10 200932
11 200729
12 202226
13 200726
14 201026
15 200824
16 200624
17 200723
18 200523
19 200622
20 202220

About Jay Patel

Jay Patel is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Infectious Diseases and Tuberculosis (4 papers), COVID-19 Clinical Research Studies (3 papers), Lipid metabolism and disorders (3 papers), Blood Pressure and Hypertension Studies (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (203 citations), Cardiology and Cardiovascular Medicine (198 citations), Urology (51 citations), Pharmacy (36 citations) and Epidemiology (162 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 A. HUGHES, Elizabeth A. Hughes, Dorairaj Prabhakaran, Federica Barzi, Edward Denis Janus, Ian Douglas Caterson, Rachel Huxley and Scott Alexander Lear. Their work appears in journals such as International Journal of Clinical Practice, Journal of Internal Medicine, Journal of Human Hypertension, Journal of Thrombosis and Haemostasis and Obesity Reviews.

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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