N. Chêne

608 citations
19 papers · 535 · h-index 10

Impact in

Papers in

N. Chêne

19 papers receiving 506 citations

Peers

N. Chêne
Comparison fields: 5 of 63
  • Agronomy and Crop Science 230
  • Immunology 170
  • Reproductive Medicine 62
  • Genetics 138
  • Public Health, Environmental and Occupational Health 117
Replace Binyun Cao with:
Binyun Cao China
Michael Mirsky United States
Laurent Galio France
Pierrette P. Reinaud France
Risu Na China
Pauline Brenaut France
U Schnurrbusch Germany
Oliver Couture United States
Vengala Rao Yenuganti India
Zemin Liu China
N. Chêne relative to Binyun Cao China Binyun Cao's profile →
Citations per field
00.5×2×3×4×4.9×
Binyun Cao · 1×
Citations per year

Countries citing papers authored by N. Chêne

Since Specialization
Citations

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

Fields of papers citing papers by N. Chêne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside N. Chêne, 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 N. Chêne Line = papers co-authored together N. Chêne links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1983153
2 1997105
3 199890
4 200446
5 199925
6 199324
7 199515
8 198913
9 198510
10 19929
11 19889
12 19857
13 19877
14
Inhibitory effect of ovine and human placental lactogens on progesterone catabolism in luteinized rat ovaries in vitro.
19837
15 19945
16 19843
17 19923
18
[Cytokines and the corpus luteum].
19943
19 19931

About N. Chêne

N. Chêne is a scholar working on Agronomy and Crop Science, Immunology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 19 papers that have together received 535 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Reproductive System and Pregnancy (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Reproductive Biology and Fertility (4 papers), Pregnancy and preeclampsia studies (3 papers), Animal Genetics and Reproduction (2 papers), Infant Nutrition and Health (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Agronomy and Crop Science (230 citations), Immunology (170 citations), Reproductive Medicine (62 citations), Genetics (138 citations) and Public Health, Environmental and Occupational Health (117 citations). N. Chêne has collaborated with scholars based in France and Morocco. Frequent co-authors include J. Martal, Bruno Dumas, R. L’Haridon, Madia Charlier, Pierrette Reinaud, Gilles Charpigny, Sylvaine Camous, Frédéric Lantier, G. Chaouat and P. de la Llosa. Their work appears in journals such as FEBS Letters, Reproduction, Journal of Dairy Science, Biochimie and Reproduction Fertility and Development.

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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