Richard E. Gregg
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Lipid metabolism and disorders
- ECG Monitoring and Analysis
Papers in
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- ECG Monitoring and Analysis 64
- Cardiac electrophysiology and arrhythmias 40
- Acute Myocardial Infarction Research 21
- Lipid metabolism and disorders 19
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- Diabetes, Cardiovascular Risks, and Lipoproteins 41
- Co-authors
- Jean DavignonCharles F. SingH. Bryan BrewerJohn R. WetterauLoren A. ZechErnst J. SchaeferH Bryan BrewerDaniel J. Rader
- Journals
- Journal of Clinical Investigation (12 papers)Journal of Lipid Research (7 papers)Journal of Biological Chemistry (6 papers)Journal of Electrocardiology (45 papers)Metabolism (4 papers)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Richard E. Gregg
185 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Endocrinology, Diabetes and Metabolism 2.9k
- Cardiology and Cardiovascular Medicine 2.4k
- Cancer Research 1.5k
- Biochemistry 692
- Surgery 3.8k
Countries citing papers authored by Richard E. Gregg
This map shows the geographic impact of Richard E. Gregg'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 Richard E. Gregg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard E. Gregg more than expected).
Fields of papers citing papers by Richard E. Gregg
This network shows the impact of papers produced by Richard E. Gregg. 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 Richard E. Gregg. The network helps show where Richard E. Gregg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard E. Gregg, 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 | 5 | |
| 2 | 2023 | 1 | |
| 3 | Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction Hit paper breakdown → | 2023 | 134 |
| 4 | 2023 | 0 | |
| 5 | 2021 | 32 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 122 | |
| 8 | 2015 | 7 | |
| 9 | 2014 | 5 | |
| 10 | 2014 | 4 | |
| 11 | 2013 | 42 | |
| 12 | 2012 | 4 | |
| 13 | 1996 | 143 | |
| 14 | 1995 | 142 | |
| 15 | 1993 | 396 | |
| 16 | 1989 | 41 | |
| 17 | 1989 | 61 | |
| 18 | 1987 | 25 | |
| 19 | 1986 | 254 | |
| 20 | 1985 | 1 |
About Richard E. Gregg
Richard E. Gregg is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery and Biochemistry, having authored 188 papers that have together received 8.9k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (64 papers), Lipoproteins and Cardiovascular Health (42 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (41 papers), Cardiac electrophysiology and arrhythmias (40 papers), Cancer, Lipids, and Metabolism (22 papers), Acute Myocardial Infarction Research (21 papers), Lipid metabolism and disorders (19 papers) and Peroxisome Proliferator-Activated Receptors (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Cardiology and Cardiovascular Medicine (2.4k citations), Cancer Research (1.5k citations), Biochemistry (692 citations) and Surgery (3.8k citations). Richard E. Gregg has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Jean Davignon, Charles F. Sing, H. Bryan Brewer, John R. Wetterau, Loren A. Zech, Ernst J. Schaefer, H Bryan Brewer, Daniel J. Rader, David A. Gordon and Lawrence P. Aggerbeck. Their work appears in journals such as Journal of Clinical Investigation, Journal of Lipid Research, Journal of Biological Chemistry, Journal of Electrocardiology and Metabolism.
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.