Gregory A. Brown

2.0k citations
57 papers · 1.5k · h-index 20

Impact in

Papers in

Gregory A. Brown

53 papers receiving 1.4k citations

Peers

Gregory A. Brown
Comparison fields: 5 of 114
  • Rheumatology 373
  • Orthopedics and Sports Medicine 137
  • Urology 85
  • Endocrinology, Diabetes and Metabolism 206
  • Internal Medicine 36
Replace F. Abram with:
F. Abram Canada
E. Maheu France
Hüseyin Özkan Türkiye
Jane E Dacre United Kingdom
Benny Antony Australia
S.M. Bierma-Zeinstra Netherlands
Guenther Kundt Germany
Lingfeng Zeng China
Michael Angel United States
Aiyong Cui China
Gregory A. Brown relative to F. Abram Canada F. Abram's profile →
Citations per field
00.5×6.9×
F. Abram · 1×
Citations per year

Countries citing papers authored by Gregory A. Brown

Since Specialization
Citations

This map shows the geographic impact of Gregory A. 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 Gregory A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory A. Brown more than expected).

Fields of papers citing papers by Gregory A. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013230
2 2013199
3 2015147
4 1996109
5 200076
6 199968
7 201857
8 200157
9 201349
10 200143
11 198837
12 199034
13 197632
14 200229
15 200627
16 202026
17 196724
18 201523
19
A comparison of some indirect methods for predicting maximal oxygen uptake.
198022
20 196720

About Gregory A. Brown

Gregory A. Brown is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Pharmacology and Cell Biology, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (10 papers), Total Knee Arthroplasty Outcomes (7 papers), Muscle metabolism and nutrition (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Pharmacological Effects and Assays (4 papers), Infant Nutrition and Health (3 papers) and Knee injuries and reconstruction techniques (3 papers). The work is most often cited by research in Rheumatology (373 citations), Orthopedics and Sports Medicine (137 citations), Urology (85 citations), Endocrinology, Diabetes and Metabolism (206 citations) and Internal Medicine (36 citations). Gregory A. Brown has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include David S. Jevsevar, Deborah S. Cummins, Douglas S. King, Matthew D. Vukovich, Patrick Donnelly, John T. Schousboe, James O. Sanders, Rick L. Sharp, T. A. Reifenrath and Lars Engebretsen. Their work appears in journals such as Archives of Disease in Childhood, Medicine & Science in Sports & Exercise, Journal of the American Academy of Orthopaedic Surgeons, Journal of Bone and Joint Surgery and The Journal of Arthroplasty.

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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