Gary Bradwin

5.3k citations
52 papers · 3.9k · 2 hit papers · h-index 25

Impact in

Papers in

Gary Bradwin

52 papers receiving 3.9k citations

Gary Bradwin's Hit Papers

Non–HDL Cholesterol, Apolipoproteins A-I and B100, Standard Lipid Measures, Lipid Ratios, and CRP as Risk Factors for Cardiovascular Disease in Women 2005 · 589 citations
5890+9+18Years since publication50010001.5k

Peers

Gary Bradwin
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 577
  • Physiology 863
  • Nephrology 187
  • Biochemistry 176
  • Epidemiology 626
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Xing Li Wang United States
Sven Waßmann Germany
Xuefeng Yu China
Marleen M. J. van Greevenbroek Netherlands
Ichiro Wakabayashi Japan
Elizabeth L. McCabe United States
Qifu Li China
Tatsuo Kawai United States
Stefano Menini Italy
Kari Punnonen Finland
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Citations per year

Countries citing papers authored by Gary Bradwin

Since Specialization
Citations

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

Fields of papers citing papers by Gary Bradwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary Bradwin. 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 Gary Bradwin. The network helps show where Gary Bradwin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PPARγ Is Required for the Differentiation of Adipose Tissue In Vivo and In Vitro
Hit paper breakdown →
19991716
2
Non–HDL Cholesterol, Apolipoproteins A-I and B100, Standard Lipid Measures, Lipid Ratios, and CRP as Risk Factors for Cardiovascular Disease in Women
Hit paper breakdown →
2005589
3 2008268
4 2020100
5 200578
6 201777
7 201377
8 201575
9 201263
10 201061
11 201253
12 202351
13 201548
14 197744
15 200542
16 201138
17 201838
18 201637
19 200937
20 201837

About Gary Bradwin

Gary Bradwin is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Behavioral Neuroscience and Physiology, having authored 52 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (9 papers), Stress Responses and Cortisol (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Adipose Tissue and Metabolism (3 papers), Vitamin D Research Studies (3 papers), Adrenal Hormones and Disorders (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (577 citations), Physiology (863 citations), Nephrology (187 citations), Biochemistry (176 citations) and Epidemiology (626 citations). Gary Bradwin has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Richard M. Mortensen, David S. Milstone, Amy E. Troy, Kathryn J. Moore, Bruce M. Spiegelman, Evan D. Rosen, Pasha Sarraf, Nader Rifai, Paul M. Ridker and Nancy R. Cook. Their work appears in journals such as Cancer Causes & Control, Cancer Epidemiology Biomarkers & Prevention, The Journal of Clinical Endocrinology & Metabolism, The Prostate and Andrology.

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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