O. Avallet

960 citations
28 papers · 852 · h-index 17

Impact in

Papers in

O. Avallet

27 papers receiving 798 citations

Peers

O. Avallet
Comparison fields: 5 of 73
  • Reproductive Medicine 412
  • Endocrinology, Diabetes and Metabolism 252
  • Genetics 197
  • Public Health, Environmental and Occupational Health 178
  • Physiology 24
Replace Hannu Nikula with:
Hannu Nikula Finland
X. Li United States
Marco Conti United States
Guido Verhoeven Belgium
Hervé Mittre France
Franck Chuzel France
Susana B. Rulli Argentina
Miriam Verhoef‐Post Netherlands
Ghenima Dirami United States
Kazuhiro Ishizaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by O. Avallet

Since Specialization
Citations

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

Fields of papers citing papers by O. Avallet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987104
2 199778
3 199871
4 199468
5 199062
6 199451
7 199147
8 198943
9
[Paracrine regulation of Leydig cells].
199639
10 199831
11 199329
12 198929
13 199525
14 199923
15 199119
16 199419
17 199517
18 199116
19 199215
20 200814

About O. Avallet

O. Avallet is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Molecular Biology and Surgery, having authored 28 papers that have together received 852 indexed citations. Recurring topics across this work include Sperm and Testicular Function (13 papers), Reproductive Biology and Fertility (9 papers), Testicular diseases and treatments (5 papers), Reproductive Physiology in Livestock (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Hormonal and reproductive studies (3 papers), TGF-β signaling in diseases (3 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Reproductive Medicine (412 citations), Endocrinology, Diabetes and Metabolism (252 citations), Genetics (197 citations), Public Health, Environmental and Occupational Health (178 citations) and Physiology (24 citations). O. Avallet has collaborated with scholars based in France and United States. Frequent co-authors include J.M. Saez, M. Vigier, J.M. Saez, Marie‐Hélène Perrard‐Sapori, Danielle Naville, Philippe Durand, P Chatelain, Hervé Lejeune, Pierre Chatelain and Patrick Leduque. Their work appears in journals such as Endocrinology, Molecular and Cellular Endocrinology, Biochemical and Biophysical Research Communications, European Journal of Biochemistry and Biology of 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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