Gary Bradwin

5.3k total citations · 2 hit papers
52 papers, 3.9k citations indexed

About

Gary Bradwin is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Gary Bradwin has authored 52 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 11 papers in Molecular Biology. Recurrent topics in Gary Bradwin's work include Hormonal and reproductive studies (11 papers), Birth, Development, and Health (6 papers) and Sexual Differentiation and Disorders (6 papers). Gary Bradwin is often cited by papers focused on Hormonal and reproductive studies (11 papers), Birth, Development, and Health (6 papers) and Sexual Differentiation and Disorders (6 papers). Gary Bradwin collaborates with scholars based in United States, Switzerland and United Kingdom. Gary Bradwin's co-authors include Richard M. Mortensen, David S. Milstone, Amy E. Troy, Kathryn J. Moore, Pasha Sarraf, Bruce M. Spiegelman, Evan D. Rosen, Nader Rifai, Paul M. Ridker and Nancy R. Cook and has published in prestigious journals such as JAMA, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Gary Bradwin

52 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PPARγ Is Required for the Differentiation of Adipose Tissue In Vivo and In Vitro

1999 1.7k citations Evan D. Rosen, Pasha Sarraf et al. Molecular Cell profile →
Non–HDL Cholesterol, Apolipoproteins A-I and B₁₀₀, Standard Lipid Measures, Lipid Ratios, and CRP as Risk Factors for Cardiovascular Disease in Women

2005 585 citations Paul M. Ridker, Nader Rifai et al. JAMA profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gary Bradwin United States	25	1.5k	1.0k	792	784	784	52	3.9k
Ki‐Up Lee South Korea	45	2.0k 1.4×	1.6k 1.6×	1.1k 1.3×	875 1.1×	1.3k 1.6×	97	6.2k
Stefano Menini Italy	41	1.3k 0.9×	889 0.9×	812 1.0×	472 0.6×	581 0.7×	72	4.0k
Paolo Sbraccia Italy	38	2.2k 1.5×	1.4k 1.4×	1.2k 1.5×	992 1.3×	832 1.1×	141	5.2k
Carlo Sabbà Italy	46	1.5k 1.0×	846 0.8×	693 0.9×	1.7k 2.1×	1.3k 1.6×	211	6.7k
Kyu Yeon Hur South Korea	38	1.2k 0.8×	866 0.9×	1.7k 2.1×	1.0k 1.3×	1.3k 1.7×	185	4.6k
Frédéric Fumeron France	42	1.2k 0.8×	1.3k 1.3×	1.5k 1.9×	1.0k 1.3×	1.2k 1.5×	133	5.2k
Christoph H. Saely Austria	32	775 0.5×	815 0.8×	834 1.1×	852 1.1×	747 1.0×	203	3.4k
Alexander Sorisky Canada	36	1.5k 1.0×	1.1k 1.0×	919 1.2×	531 0.7×	761 1.0×	100	3.8k
Nelson M.S. Wat Hong Kong	29	1.6k 1.1×	798 0.8×	1.1k 1.4×	552 0.7×	1.3k 1.7×	47	3.8k
Tatsuo Kawai Japan	26	1.2k 0.8×	756 0.8×	534 0.7×	497 0.6×	571 0.7×	61	3.9k

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-authorship network of co-authors of Gary Bradwin

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Bradwin. A scholar is included among the top collaborators of Gary Bradwin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gary Bradwin. Gary Bradwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Zeni, Britton Trabert, Chantal Guillemette, et al.. (2023). Prediagnostic Hormone Levels and Risk of Testicular Germ Cell Tumors: A Nested Case–Control Study in the Janus Serum Bank. Cancer Epidemiology Biomarkers & Prevention. 32(11). 1564–1571. 1 indexed citations

Kezios, Katrina, Shakira F. Suglia, David Matthew Doyle, et al.. (2022). Comparing different operationalizations of allostatic load measured in mid-life and their patterning by race and cumulative life course socioeconomic status. Psychoneuroendocrinology. 139. 105689–105689. 14 indexed citations

Cowell, Whitney, Andreas Sjödin, Richard S. Jones, et al.. (2019). Pre- and Postnatal Polybrominated Diphenyl Ether Concentrations in Relation to Thyroid Parameters Measured During Early Childhood. Thyroid. 29(5). 631–641. 18 indexed citations

Yang, Nicole, Jie Huang, Michelle Frits, et al.. (2019). Interference of tumor necrosis factor inhibitor treatments on soluble tumor necrosis factor receptor 2 levels in rheumatoid arthritis. Practical Laboratory Medicine. 16. e00122–e00122. 2 indexed citations

Bromage, Sabri, Davaasambuu Enkhmaa, Gary Bradwin, et al.. (2019). Comparison of seasonal serum 25-hydroxyvitamin D concentrations among pregnant women in Mongolia and Boston. The Journal of Steroid Biochemistry and Molecular Biology. 193. 105427–105427. 8 indexed citations

Cornish, Rosie, Anne Cathrine Staff, Andy Boyd, et al.. (2018). Maternal reproductive hormones and angiogenic factors in pregnancy and subsequent breast cancer risk. Cancer Causes & Control. 30(1). 63–74. 2 indexed citations

Coburn, Sally B., Frank Z. Stanczyk, Roni T. Falk, et al.. (2018). Comparability of serum, plasma, and urinary estrogen and estrogen metabolite measurements by sex and menopausal status. Cancer Causes & Control. 30(1). 75–86. 36 indexed citations

Morgenstern, Rachelle, Robin M. Whyatt, Beverly J. Insel, et al.. (2017). Phthalates and thyroid function in preschool age children: Sex specific associations. Environment International. 106. 11–18. 76 indexed citations

Platz, Elizabeth A., et al.. (2017). Consumption of caffeinated beverages and serum concentrations of sex steroid hormones in US men. Cancer Causes & Control. 29(1). 157–166. 3 indexed citations

10.

Falk, Roni T., Annetine Staff, Gary Bradwin, S. Ananth Karumanchi, & Rebecca Troisi. (2016). A prospective study of angiogenic markers and postmenopausal breast cancer risk in the prostate, lung, colorectal, and ovarian cancer screening trial. Cancer Causes & Control. 27(8). 1009–1017. 5 indexed citations

11.

Peskoe, Sarah B., Corinne E. Joshu, Sabine Rohrmann, et al.. (2015). Circulating total testosterone and PSA concentrations in a nationally representative sample of men without a diagnosis of prostate cancer. The Prostate. 75(11). 1167–1176. 34 indexed citations

12.

Trabert, Britton, Barry I. Graubard, Sarah J. Nyante, et al.. (2012). Relationship of sex steroid hormones with body size and with body composition measured by dual-energy X-ray absorptiometry in US men. Cancer Causes & Control. 23(12). 1881–1891. 30 indexed citations

13.

Agurs‐Collins, Tanya, Sabine Rohrmann, Catherine G. Sutcliffe, et al.. (2012). Racial variation in umbilical cord blood sex steroid hormones and the insulin-like growth factor axis in African-American and white female neonates. Cancer Causes & Control. 23(3). 445–454. 10 indexed citations

14.

Kentsis, Alex, Saima Ahmed, Eileen Brennan, et al.. (2012). Urine proteomics for discovery of improved diagnostic markers of Kawasaki disease. EMBO Molecular Medicine. 5(2). 210–220. 63 indexed citations

15.

Nyante, Sarah J., Barry I. Graubard, Yan Li, et al.. (2011). Trends in sex hormone concentrations in US males: 1988–1991 to 1999–2004. International Journal of Andrology. 35(3). 456–466. 36 indexed citations

16.

Cutler, Corey, Haesook T. Kim, Gary Bradwin, et al.. (2010). Prediction of Veno-Occlusive Disease Using Biomarkers of Endothelial Injury. Biology of Blood and Marrow Transplantation. 16(8). 1180–1185. 60 indexed citations

17.

Baum, Marianna K., Sabrina Sales Martínez, Shenghan Lai, et al.. (2010). Coinfection with hepatitis C virus, oxidative stress and antioxidant status in HIV-positive drug users in Miami*. HIV Medicine. 12(2). 78–86. 28 indexed citations

18.

Vaidya, Vishal S., Sushrut S. Waikar, Michael A. Ferguson, et al.. (2008). Urinary Biomarkers for Sensitive and Specific Detection of Acute Kidney Injury in Humans. Clinical and Translational Science. 1(3). 200–208. 266 indexed citations

19.

Ridker, Paul M., Nader Rifai, Nancy R. Cook, Gary Bradwin, & Julie E. Buring. (2005). Non–HDL Cholesterol, Apolipoproteins A-I and B₁₀₀, Standard Lipid Measures, Lipid Ratios, and CRP as Risk Factors for Cardiovascular Disease in Women. JAMA. 294(3). 326–326. 585 indexed citations breakdown →

20.

Rosen, Evan D., Pasha Sarraf, Amy E. Troy, et al.. (1999). PPARγ Is Required for the Differentiation of Adipose Tissue In Vivo and In Vitro. Molecular Cell. 4(4). 611–617. 1705 indexed citations breakdown →

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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