Monica Einstein

1.2k citations
14 papers · 856 · h-index 11

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 8
    • Metabolism, Diabetes, and Cancer 3
    • Sexual Differentiation and Disorders 2
    • Adipose Tissue and Metabolism 5

Monica Einstein

14 papers receiving 822 citations

Peers

Monica Einstein
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 395
  • Genetics 257
  • Pharmacology 71
  • Molecular Biology 424
  • Reproductive Medicine 48
Replace Victor Ding with:
Victor Ding United States
Siming Liu United States
George E. Swaneck United States
Marcel Garcia France
G. S. Harris Australia
Ralph Mosley United States
SHOGO ICHII Japan
Gene F. Tutwiler United States
Juan E. Felı́u Spain
Inge M. Michel United States
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Monica Einstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Monica Einstein Line = papers co-authored together Monica Einstein links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1993411
2 2008139
3 200764
4 200558
5 201152
6 200947
7 200918
8 200417
9 199617
10 200815
11 200111
12 20133
13 20123
14
Dose-dependent and long term effects of RU58841 (androgen receptor blocker) on hair growth in the bald stumptailed Macaque.
19971

About Monica Einstein

Monica Einstein is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Biochemistry and Pharmacology, having authored 14 papers that have together received 856 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Adipose Tissue and Metabolism (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Sexual Differentiation and Disorders (2 papers), Hormonal Regulation and Hypertension (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (395 citations), Genetics (257 citations), Pharmacology (71 citations), Molecular Biology (424 citations) and Reproductive Medicine (48 citations). Monica Einstein has collaborated with scholars based in United States and Japan. Frequent co-authors include Wayne M. Geissler, Keith Elliston, Hak‐Kim Chan, Lawrence Wu, Siv G. E. Andersson, 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, Journal of Investigative Dermatology, Experimental Biology and Medicine and PLoS ONE.

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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