B. Greg Brown

11.7k citations
100 papers · 8.8k indexed · 3 hit papers · h-index 44

B. Greg Brown

100 papers receiving 8.3k citations

Hit Papers

Effect of Intensive Compared With Moderate Lipid-Lowerin...1.7k199220262003201450010001.5k

Peers

B. Greg Brown
Comparison fields: 5 of 145
  • Cardiology and Cardiovascular Medicine 3.7k
  • Endocrinology, Diabetes and Metabolism 2.2k
  • Radiology, Nuclear Medicine and Imaging 2.8k
  • Surgery 5.2k
  • Cancer Research 812
Replace Christian Spaulding with:
Christian Spaulding France
Marlene Goormastic United States
Jacques Lespérance Canada
Robert M. Califf United States
G Thorgeirsson Iceland
Scott Kinlay United States
Steven E. Nissen United States
Paul Schoenhagen United States
Tomohiro Sakamoto Japan
Felicita Andreotti Italy
B. Greg Brown relative to Christian Spaulding France Christian Spaulding's profile →
Citations per field
00.5×1.6×
Christian Spaulding · 1×
Citations per year

Countries citing papers authored by B. Greg Brown

Since Specialization
Citations

This map shows the geographic impact of B. 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 B. 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 B. Greg Brown more than expected).

Fields of papers citing papers by B. Greg Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. 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 B. Greg Brown. The network helps show where B. Greg Brown may publish in the future.

Co-authorship network

The 25 scholars most cited alongside B. Greg Brown, 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 B. Greg Brown Line = papers co-authored together B. Greg Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20165
2 20141
3 20145
4 201419
5 200867
6 200859
7 200733
8 200719
9 200548
10 200536
11 200478
12 200360
13 200118
14 199822
15 199780
16 199721
17 19911
18 19906
19 198211
20 198082

About B. Greg Brown

B. Greg Brown is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 100 papers that have together received 8.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (50 papers), Cardiac Imaging and Diagnostics (35 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (32 papers), Coronary Interventions and Diagnostics (31 papers), Lipid metabolism and disorders (13 papers), Acute Myocardial Infarction Research (11 papers), Liver Disease Diagnosis and Treatment (8 papers) and Cancer, Lipids, and Metabolism (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.7k citations), Endocrinology, Diabetes and Metabolism (2.2k citations), Radiology, Nuclear Medicine and Imaging (2.8k citations), Surgery (5.2k citations) and Cancer Research (812 citations). B. Greg Brown has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Edward L. Bolson, Harold T. Dodge, Xue-Qiao Zhao, J J Albers, James T. Dodge, D Sacco, Alberto Zambon, Xiaohui Zhao, John E. Hokanson and Steven E. Nissen. Their work appears in journals such as The American Journal of Cardiology, Circulation, Journal of the American College of Cardiology, Atherosclerosis and Journal of Lipid Research.

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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