GILBERT SCHAISON

5.8k citations
148 papers · 4.9k · h-index 38

Impact in

Papers in

GILBERT SCHAISON

138 papers receiving 4.3k citations

Peers

GILBERT SCHAISON
Comparison fields: 5 of 114
  • Reproductive Medicine 2.0k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Genetics 980
  • Public Health, Environmental and Occupational Health 867
  • Behavioral Neuroscience 94
Replace Touraine Philippe with:
Touraine Philippe France
Eric P. Smith United States
Peter J. Illingworth United Kingdom
Saul W. Rosen United States
Songya Pang United States
Stuart Handwerger United States
Pascal Pigny France
Arye Hurwitz Israel
Jean‐Louis Chaussain France
Anne Bachelot France
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Citations per field
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Citations per year

Countries citing papers authored by GILBERT SCHAISON

Since Specialization
Citations

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

Fields of papers citing papers by GILBERT SCHAISON

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside GILBERT SCHAISON, 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 GILBERT SCHAISON Line = papers co-authored together GILBERT SCHAISON links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997410
2 1988219
3 1986196
4 1977184
5 2001174
6 1985161
7 1988148
8 1986140
9 1999131
10 2000122
11 1985122
12 2005120
13 1997109
14 199594
15 197889
16 199388
17 199388
18 199986
19 200184
20 199981

About GILBERT SCHAISON

GILBERT SCHAISON is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Hematology, Public Health, Environmental and Occupational Health and Genetics, having authored 148 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ovarian function and disorders (27 papers), Hypothalamic control of reproductive hormones (26 papers), Hormonal and reproductive studies (21 papers), Growth Hormone and Insulin-like Growth Factors (17 papers), Pituitary Gland Disorders and Treatments (17 papers), Sexual Differentiation and Disorders (16 papers), Reproductive Biology and Fertility (11 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Reproductive Medicine (2.0k citations), Endocrinology, Diabetes and Metabolism (1.6k citations), Genetics (980 citations), Public Health, Environmental and Occupational Health (867 citations) and Behavioral Neuroscience (94 citations). GILBERT SCHAISON has collaborated with scholars based in France, United States and Argentina. Frequent co-authors include Béatrice Couzinet, Jacques Young, Sylvie Brailly, Philippe Chanson, Edwin Milgröm, Irène Mowszowicz, E.E. Baulieu, Micheline Misrahi, Nicolás de Roux and Jacques Young. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Clinical Endocrinology, Obstetrical & Gynecological Survey and Molecular and Cellular Endocrinology.

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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