Aruna D. Pradhan
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- Diabetes, Cardiovascular Risks, and Lipoproteins 24
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- Cardiovascular Function and Risk Factors 9
- Epidemiology top 0.5%
- Adipokines, Inflammation, and Metabolic Diseases 20
- Biological Psychiatry top 2%
- Immunology top 2%
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- Lipoproteins and Cardiovascular Health 16
- Peripheral Artery Disease Management 12
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- Diet and metabolism studies 7
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- Cancer, Lipids, and Metabolism 7
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- Cerebrovascular and Carotid Artery Diseases 7
- Co-authors
- Paul M. RidkerRobert J. GlynnJulie E. BuringJoAnn E. MansonNader RifaiPeter LibbyJean MacFadyenNancy R. Cook
- Partner nations
- United StatesSwitzerlandVietnam
In The Last Decade
Aruna D. Pradhan
84 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Endocrinology, Diabetes and Metabolism 2.9k
- Cardiology and Cardiovascular Medicine 2.4k
- Epidemiology 3.4k
- Biological Psychiatry 162
- Immunology 1.3k
Countries citing papers authored by Aruna D. Pradhan
This map shows the geographic impact of Aruna D. Pradhan'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 Aruna D. Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aruna D. Pradhan more than expected).
Fields of papers citing papers by Aruna D. Pradhan
This network shows the impact of papers produced by Aruna D. Pradhan. 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 Aruna D. Pradhan. The network helps show where Aruna D. Pradhan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aruna D. Pradhan, 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 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 31 | |
| 4 | 2023 | 21 | |
| 5 | 2021 | 38 | |
| 6 | 2021 | 75 | |
| 7 | 2018 | 248 | |
| 8 | 2018 | 1 | |
| 9 | 2017 | 45 | |
| 10 | 2016 | 10 | |
| 11 | 2015 | 9 | |
| 12 | 2012 | 10 | |
| 13 | 2012 | 74 | |
| 14 | Cardiovascular benefits and diabetes risks of statin therapy in primary prevention: an analysis from the JUPITER trialbreakdown → | 2012 | 562 |
| 15 | 2011 | 4 | |
| 16 | 2009 | 100 | |
| 17 | 2008 | 3 | |
| 18 | 2006 | 38 | |
| 19 | 2003 | 217 | |
| 20 | 2001 | 3 |
About Aruna D. Pradhan
Aruna D. Pradhan is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 88 papers that have together received 10.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers), Lipoproteins and Cardiovascular Health (16 papers), Peripheral Artery Disease Management (12 papers), Cardiovascular Function and Risk Factors (9 papers), Diet and metabolism studies (7 papers), Cancer, Lipids, and Metabolism (7 papers) and Cerebrovascular and Carotid Artery Diseases (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Cardiology and Cardiovascular Medicine (2.4k citations) and Epidemiology (3.4k citations). Aruna D. Pradhan has collaborated with scholars based in United States, Switzerland and Vietnam. Frequent co-authors include Paul M. Ridker, Robert J. Glynn, Julie E. Buring, JoAnn E. Manson, Nader Rifai, Peter Libby, Jean MacFadyen, Nancy R. Cook, Aaron W. Aday and Brendan M. Everett. Their work appears in journals such as The Lancet, JAMA and Circulation.
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.