E. Perel

972 citations
21 papers · 882 · h-index 16

Impact in

Papers in

E. Perel

21 papers receiving 793 citations

Peers

E. Perel
Comparison fields: 5 of 82
  • Genetics 457
  • Endocrinology, Diabetes and Metabolism 219
  • Reproductive Medicine 90
  • Obstetrics and Gynecology 55
  • Health, Toxicology and Mutagenesis 95
Replace George E. Swaneck with:
George E. Swaneck United States
Leonard J. Lerner Malaysia
B.‐L. Nguyen France
Hilton A. Salhanick United States
S. Nilsson Sweden
Adrian W. Pike United States
Olayiwola Oduwole Finland
H.J. Kloosterboer Netherlands
E. Ferguson United States
Irving Shemano United States
E. Perel relative to George E. Swaneck United States George E. Swaneck's profile →
Citations per field
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George E. Swaneck · 1×
Citations per year

Countries citing papers authored by E. Perel

Since Specialization
Citations

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

Fields of papers citing papers by E. Perel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside E. Perel, 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 E. Perel Line = papers co-authored together E. Perel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972174
2 1979137
3 1980113
4 198858
5 199955
6 198750
7 199049
8 198743
9 198332
10
Aromatase in human breast carcinoma.
198227
11 196926
12 198624
13 198121
14 197020
15 198517
16 198416
17 198111
18 19834
19 19713
20 19821

About E. Perel

E. Perel is a scholar working on Genetics, Health, Toxicology and Mutagenesis, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 21 papers that have together received 882 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Hormonal and reproductive studies (4 papers), Pharmacological Effects and Assays (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Obesity, Physical Activity, Diet (1 paper), Animal Genetics and Reproduction (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Genetics (457 citations), Endocrinology, Diabetes and Metabolism (219 citations), Reproductive Medicine (90 citations), Obstetrics and Gynecology (55 citations) and Health, Toxicology and Mutagenesis (95 citations). E. Perel has collaborated with scholars based in Canada, Israel and United States. Frequent co-authors include D.W. Killinger, H.R. Lindner, A. M. Friedlander, Andrew Zeitlin, Diana G. Wilkins, Martin E. Blackstein, William R. Lindsay, Marco M. Altaras, M. Córdoba and Dov Flex. Their work appears in journals such as Steroids, The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Pathology, Molecular and Cellular Endocrinology and Reproduction.

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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