Richard E. Gregg

11.8k citations
188 papers · 8.9k indexed · 3 hit papers · h-index 45

Impact in

Papers in

Richard E. Gregg

185 papers receiving 8.6k citations

Hit Papers

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction 2023 · 134 citations
134198820262000201350010001.5k

Peers

Richard E. Gregg
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
Replace Jane A. Leopold with:
Jane A. Leopold United States
Lloyd Paul Aiello United States
Lawrence H. Young United States
Laura Calabresi Italy
Stefano Romeo Italy
Johan Björkegren Sweden
Matthew M. Yeh United States
Michael Lehrke Germany
Karin Jandeleit‐Dahm Australia
Wing Tak Wong Hong Kong
Richard E. Gregg relative to Jane A. Leopold United States Jane A. Leopold's profile →
Citations per field
00.5×3.0×
Jane A. Leopold · 1×
Citations per year

Countries citing papers authored by Richard E. Gregg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20231
3
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
Hit paper breakdown →
2023134
4 20230
5 202132
6 202014
7 2020122
8 20157
9 20145
10 20144
11 201342
12 20124
13 1996143
14 1995142
15 1993396
16 198941
17 198961
18 198725
19 1986254
20 19851

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.

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