Gary Rubin
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Reproductive Medicine top 5%
Papers in
- Genetics 7
- Estrogen and related hormone effects 7
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- Peroxisome Proliferator-Activated Receptors 3
- Co-authors
- Evan R. Simpson (5 shared papers)Colin D. Clyne (4 shared papers)Margaret E. E. Jones (4 shared papers)Kirsten Robertson (3 shared papers)Caroline J. Speed (2 shared papers)Kara L. Britt (1 shared paper)Wah Chin Boon (1 shared paper)Susan R. Davis (3 shared papers)
- Journals
- Endocrinology (2 papers)Annual Review of Physiology (1 paper)Trends in Endocrinology and Metabolism (1 paper)Xenobiotica (1 paper)Endocrine Related Cancer (1 paper)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Gary Rubin
9 papers receiving 1.2k citations
Gary Rubin's Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 626
- Reproductive Medicine 163
- Physiology 86
- Endocrinology, Diabetes and Metabolism 264
- Pharmacology 76
Countries citing papers authored by Gary Rubin
This map shows the geographic impact of Gary Rubin'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 Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Rubin more than expected).
Fields of papers citing papers by Gary Rubin
This network shows the impact of papers produced by Gary Rubin. 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 Rubin. The network helps show where Gary Rubin may publish in the future.
Co-authors
The 18 scholars most cited alongside Gary Rubin, 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 | Aromatase—A Brief Overview Hit paper breakdown → | 2002 | 639 |
| 2 | 2000 | 201 | |
| 3 | Peroxisome proliferator-activated receptor gamma ligands inhibit estrogen biosynthesis in human breast adipose tissue: possible implications for breast cancer therapy. | 2000 | 168 |
| 4 | 1999 | 161 | |
| 5 | 2002 | 47 | |
| 6 | 1996 | 34 | |
| 7 | 1995 | 21 | |
| 8 | 1999 | 13 | |
| 9 | 2002 | 13 |
About Gary Rubin
Gary Rubin is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Pathology and Forensic Medicine, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Menopause: Health Impacts and Treatments (2 papers), Inflammatory mediators and NSAID effects (2 papers), Phytoestrogen effects and research (2 papers), Effects and risks of endocrine disrupting chemicals (1 paper), Bone health and osteoporosis research (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Genetics (626 citations), Reproductive Medicine (163 citations), Physiology (86 citations), Endocrinology, Diabetes and Metabolism (264 citations) and Pharmacology (76 citations). Gary Rubin has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Evan R. Simpson, Colin D. Clyne, Margaret E. E. Jones, Kirsten Robertson, Caroline J. Speed, Kara L. Britt, Wah Chin Boon, Susan R. Davis, Liza O’Donnell and Ying Zhao. Their work appears in journals such as Endocrinology, Annual Review of Physiology, Trends in Endocrinology and Metabolism, Xenobiotica and Endocrine Related Cancer.
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.