Y. Chérel

1.2k citations
28 papers · 920 · h-index 15

Impact in

Papers in

    • Muscle Physiology and Disorders 5
    • Retinal Development and Disorders 2
    • Virus-based gene therapy research 6
    • Genetic and phenotypic traits in livestock 2

Y. Chérel

28 papers receiving 902 citations

Peers

Y. Chérel
Comparison fields: 5 of 85
  • Equine 30
  • Agronomy and Crop Science 96
  • Genetics 186
  • Animal Science and Zoology 65
  • Molecular Biology 408
Replace Geoffrey Y. Akita with:
Geoffrey Y. Akita United States
Y. Iwasaki Japan
K. C. Barnett United Kingdom
M. A. Thrall United States
Arcangelo Gentile Italy
Preben D. Thomsen United Kingdom
Henrik von Euler Sweden
K Huston United States
Ronald C. Riis United States
Keren E. Dittmer New Zealand
Y. Chérel relative to Geoffrey Y. Akita United States Geoffrey Y. Akita's profile →
Citations per field
00.5×1.5×2.3×
Geoffrey Y. Akita · 1×
Citations per year

Countries citing papers authored by Y. Chérel

Since Specialization
Citations

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

Fields of papers citing papers by Y. Chérel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Y. Chérel, 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 Y. Chérel Line = papers co-authored together Y. Chérel 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 2006159
2 2009116
3 200278
4 200971
5 200666
6 200958
7 200756
8 199140
9 198838
10 200737
11 200534
12 200033
13 200822
14 200217
15
Comparison of postnatal development of anterior latissimus dorsi (ALD) muscle in heavy- and light-weight strains of turkey (Meleagris gallopavo).
199417
16 201014
17 199813
18 200810
19 20009
20 19918

About Y. Chérel

Y. Chérel is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Rheumatology and Cell Biology, having authored 28 papers that have together received 920 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Muscle Physiology and Disorders (5 papers), Animal Nutrition and Physiology (4 papers), Muscle metabolism and nutrition (3 papers), Bird parasitology and diseases (2 papers), Livestock and Poultry Management (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Equine (30 citations), Agronomy and Crop Science (96 citations), Genetics (186 citations), Animal Science and Zoology (65 citations) and Molecular Biology (408 citations). Y. Chérel has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Monique Wyers, Lydie Guigand, Philippe Moullier, Frédérique Nguyen, N Provost, Martial Masson, Pierre Weiss, Jérôme Guicheux, Thibaut Larcher and G. Plassiart. Their work appears in journals such as Gene Therapy, Neuromuscular Disorders, British Poultry Science, Bio-Medical Materials and Engineering and Theriogenology.

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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