G Schaison

5.8k citations
165 papers · 4.8k · h-index 38

Impact in

Papers in

G Schaison

153 papers receiving 4.3k citations

Peers

G Schaison
Comparison fields: 5 of 114
  • Reproductive Medicine 2.0k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Genetics 986
  • Public Health, Environmental and Occupational Health 881
  • Behavioral Neuroscience 95
Replace D.M. de Kretser with:
D.M. de Kretser Australia
M Massobrio Italy
Salvatore Ulisse Italy
Lenore S. Levine United States
Philippe Touraine France
Peter Illingworth United Kingdom
Saul W. Rosen United States
Eric P. Smith United States
Makoto Nagano Japan
Marco A. Rivarola Argentina
G Schaison relative to D.M. de Kretser Australia D.M. de Kretser's profile →
Citations per field
00.5×1.5×2.1×
D.M. de Kretser · 1×
Citations per year

Countries citing papers authored by G Schaison

Since Specialization
Citations

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

Fields of papers citing papers by G Schaison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997405
2 1988216
3 1986190
4 1977182
5 2001172
6 1985165
7 1988147
8 1999133
9 1986126
10 1985123
11 2005121
12 2000118
13 1997108
14 199591
15 199388
16 197887
17 199387
18 200184
19 199983
20 199982

About G Schaison

G Schaison is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 165 papers that have together received 4.8k 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 (23 papers), Sexual Differentiation and Disorders (19 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Pituitary Gland Disorders and Treatments (15 papers), Reproductive Biology and Fertility (11 papers) and Acute Myeloid Leukemia Research (10 papers). The work is most often cited by research in Reproductive Medicine (2.0k citations), Endocrinology, Diabetes and Metabolism (1.6k citations), Genetics (986 citations), Public Health, Environmental and Occupational Health (881 citations) and Behavioral Neuroscience (95 citations). G 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, I 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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