Monica Einstein
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- Hormonal Regulation and Hypertension 2
- Hormonal and reproductive studies 1
- Genetics top 10%
- Pharmacology top 10%
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology 4
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- Peroxisome Proliferator-Activated Receptors 8
- Metabolism, Diabetes, and Cancer 5
- Sexual Differentiation and Disorders 2
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- Adipose Tissue and Metabolism 5
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- Pancreatic function and diabetes 2
- Co-authors
- Wayne M. GeisslerHak‐Kim ChanSiv G. E. AnderssonKeith EllistonLawrence WuTaro E. AkiyamaJoel P. BergerPeter T. Meinke
- Journals
- Journal of Medicinal Chemistry (4 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Diabetes (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Monica Einstein
14 papers receiving 806 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 410
- Genetics 257
- Pharmacology 72
- Biochemistry 49
- Molecular Biology 432
Countries citing papers authored by Monica Einstein
This map shows the geographic impact of Monica Einstein'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 Monica Einstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Einstein more than expected).
Fields of papers citing papers by Monica Einstein
This network shows the impact of papers produced by Monica Einstein. 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 Monica Einstein. The network helps show where Monica Einstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Monica Einstein, 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 | 2013 | 3 | |
| 2 | 2012 | 3 | |
| 3 | 2011 | 48 | |
| 4 | 2009 | 18 | |
| 5 | 2009 | 47 | |
| 6 | 2008 | 15 | |
| 7 | 2008 | 133 | |
| 8 | 2007 | 63 | |
| 9 | 2005 | 56 | |
| 10 | 2004 | 17 | |
| 11 | 2001 | 8 | |
| 12 | Dose-dependent and long term effects of RU58841 (androgen receptor blocker) on hair growth in the bald stumptailed Macaque. | 1997 | 1 |
| 13 | 1996 | 17 | |
| 14 | 1993 | 397 |
About Monica Einstein
Monica Einstein is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 14 papers that have together received 826 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Sexual Differentiation and Disorders (2 papers), Pancreatic function and diabetes (2 papers), Hormonal Regulation and Hypertension (2 papers) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (410 citations), Genetics (257 citations) and Pharmacology (72 citations). Monica Einstein has collaborated with scholars based in United States and Japan. Frequent co-authors include Wayne M. Geissler, Hak‐Kim Chan, Siv G. E. Andersson, Keith Elliston, Lawrence Wu, Taro E. Akiyama, Joel P. Berger, Peter T. Meinke, Harold B. Wood and Ralph T. Mosley. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Diabetes, Journal of Biological Chemistry and Journal of Investigative Dermatology.
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.