Greg Brown
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Surgery top 2%
- Lipoproteins and Cardiovascular Health
- Coronary Interventions and Diagnostics
Papers in ⓘ
- Surgery 2
- Lipoproteins and Cardiovascular Health 2
- Coronary Interventions and Diagnostics 1
-
- Nuclear Structure and Function 1
- DNA Repair Mechanisms 1
- Genomics and Chromatin Dynamics 1
- Co-authors
- Brad Bisson (1 shared paper)Xue-Qiao Zhao (1 shared paper)Harold T. Dodge (1 shared paper)John J. Albers (1 shared paper)Virginia Fitzpatrick (1 shared paper)Lloyd D. Fisher (1 shared paper)Marcelo Costa Batista (1 shared paper)Gerard E. Dallal (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (1 paper)New England Journal of Medicine (1 paper)American Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesFinlandMexico
In The Last Decade
Greg Brown
3 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 755
- Surgery 1.3k
- Cardiology and Cardiovascular Medicine 573
- Cancer Research 264
- Radiology, Nuclear Medicine and Imaging 261
Countries citing papers authored by Greg Brown
This map shows the geographic impact of Greg Brown'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 Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Brown more than expected).
Fields of papers citing papers by Greg Brown
This network shows the impact of papers produced by Greg Brown. 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 Brown. The network helps show where Greg Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Brown, 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 | Regression of Coronary Artery Disease as a Result of Intensive Lipid-Lowering Therapy in Men with High Levels of Apolipoprotein B Hit paper breakdown → | 1990 | 1643 |
| 2 | 2003 | 113 | |
| 3 | 2000 | 53 |
About Greg Brown
Greg Brown is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Biochemistry and Cancer Research, having authored 3 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (2 papers), Coronary Interventions and Diagnostics (1 paper), Cancer, Lipids, and Metabolism (1 paper), Nuclear Structure and Function (1 paper), Antiplatelet Therapy and Cardiovascular Diseases (1 paper), DNA Repair Mechanisms (1 paper), Genomics and Chromatin Dynamics (1 paper) and Antioxidant Activity and Oxidative Stress (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (755 citations), Surgery (1.3k citations), Cardiology and Cardiovascular Medicine (573 citations), Cancer Research (264 citations) and Radiology, Nuclear Medicine and Imaging (261 citations). Greg Brown has collaborated with scholars based in United States, Finland and Mexico. Frequent co-authors include Brad Bisson, Xue-Qiao Zhao, Harold T. Dodge, John J. Albers, Virginia Fitzpatrick, Lloyd D. Fisher, Marcelo Costa Batista, Gerard E. Dallal, Katalin V. Horvath and Bela F. Asztalos. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, New England Journal of Medicine and American Journal of Medical Genetics.
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.