Greg Burke
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Blood Pressure and Hypertension Studies
Papers in
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- Cardiovascular Function and Risk Factors 3
- Blood Pressure and Hypertension Studies 2
- Cardiovascular Disease and Adiposity 2
- Cardiovascular Health and Risk Factors 1
- Surgery 2
- Co-authors
- Lewis H. Kuller (3 shared papers)Bruce M. Psaty (3 shared papers)Richard A. Kronmal (3 shared papers)Russell P. Tracy (2 shared papers)Linda P. Fried (2 shared papers)Anne B. Newman (2 shared papers)David S. Siscovick (2 shared papers)James D. Otvos (1 shared paper)
- Journals
- JAMA (1 paper)Journal of the American Geriatrics Society (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Journal of Clinical Epidemiology (1 paper)Circulation (1 paper)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Greg Burke
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 329
- Cardiology and Cardiovascular Medicine 307
- Psychiatry and Mental health 153
- Pharmacy 49
- Neurology 68
Countries citing papers authored by Greg Burke
This map shows the geographic impact of Greg Burke'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 Greg Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Burke more than expected).
Fields of papers citing papers by Greg Burke
This network shows the impact of papers produced by Greg Burke. 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 Greg Burke. The network helps show where Greg Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Burke, 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 | 2002 | 261 | |
| 2 | 2006 | 254 | |
| 3 | 2003 | 235 | |
| 4 | 2004 | 157 | |
| 5 | 1990 | 142 | |
| 6 | 2008 | 19 | |
| 7 | 2013 | 10 | |
| 8 | 2013 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2014 | 1 | |
| 11 | 2015 | 1 |
About Greg Burke
Greg Burke is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Physiology and Molecular Biology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (3 papers), Blood Pressure and Hypertension Studies (2 papers), Cardiovascular Disease and Adiposity (2 papers), Cardiac Imaging and Diagnostics (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Social and Intergroup Psychology (1 paper), Cardiovascular Health and Risk Factors (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (329 citations), Cardiology and Cardiovascular Medicine (307 citations), Psychiatry and Mental health (153 citations), Pharmacy (49 citations) and Neurology (68 citations). Greg Burke has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Lewis H. Kuller, Bruce M. Psaty, Richard A. Kronmal, Russell P. Tracy, Linda P. Fried, Anne B. Newman, David S. Siscovick, James D. Otvos, David S. Freedman and Alice M. Arnold. Their work appears in journals such as JAMA, Journal of the American Geriatrics Society, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Clinical Epidemiology 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.