C. Perreau

78 papers receiving 2.3k citations

Peers

C. Perreau
Comparison fields: 5 of 91
  • Reproductive Medicine 973
  • Public Health, Environmental and Occupational Health 1.5k
  • Agronomy and Crop Science 453
  • Genetics 647
  • Equine 23
Replace Svetlana Uzbekova with:
Svetlana Uzbekova France
Susan M. Quirk United States
Claire Glister United Kingdom
Helena T. A. van Tol Netherlands
Jacob C. Thundathil Canada
D. T. Baird United Kingdom
S. Modina Italy
David W. Schomberg United States
Wilhelm KANITZ Germany
H. Tamada Japan
C. Perreau relative to Svetlana Uzbekova France Svetlana Uzbekova's profile →
Citations per field
00.5×2×2.6×
Svetlana Uzbekova · 1×
Citations per year

Countries citing papers authored by C. Perreau

Since Specialization
Citations

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

Fields of papers citing papers by C. Perreau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002154
2 2001149
3 2004141
4 2010124
5 200099
6 200792
7 201069
8 200869
9 200168
10 200768
11 201465
12 200664
13 200661
14 199061
15 201059
16 198357
17 198357
18 199752
19 201049
20 197849

About C. Perreau

C. Perreau is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Genetics and Endocrinology, Diabetes and Metabolism, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (42 papers), Sperm and Testicular Function (37 papers), Reproductive Physiology in Livestock (15 papers), Renal and related cancers (8 papers), Hormonal and reproductive studies (8 papers), Pluripotent Stem Cells Research (6 papers), Ovarian function and disorders (6 papers) and Animal Genetics and Reproduction (5 papers). The work is most often cited by research in Reproductive Medicine (973 citations), Public Health, Environmental and Occupational Health (1.5k citations), Agronomy and Crop Science (453 citations), Genetics (647 citations) and Equine (23 citations). C. Perreau has collaborated with scholars based in France, Canada and Morocco. Frequent co-authors include Pascal Mermillod, Svetlana Uzbekova, Pascal Papillier, Rozenn Dalbiès‐Tran, M.T. Hochereau de Reviers, M. Terqui, Joëlle Dupont, Réjane Marchal, Sophie Pennetier and Aurore Thélie. Their work appears in journals such as Theriogenology, Reproduction, Reproduction in Domestic Animals, European Journal of Endocrinology 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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