Jean‐Charles Gabillard

2.7k total citations
53 papers, 2.1k citations indexed

About

Jean‐Charles Gabillard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Jean‐Charles Gabillard has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Genetics. Recurrent topics in Jean‐Charles Gabillard's work include Muscle Physiology and Disorders (22 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Animal Genetics and Reproduction (11 papers). Jean‐Charles Gabillard is often cited by papers focused on Muscle Physiology and Disorders (22 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Animal Genetics and Reproduction (11 papers). Jean‐Charles Gabillard collaborates with scholars based in France, Spain and Morocco. Jean‐Charles Gabillard's co-authors include Pierre‐Yves Rescan, Iban Seiliez, Claudine Weil, Barzan Bahrami Kamangar, Joaquím Gutiérrez, Núria Montserrat, Pierre‐Yves Le Bail, François Chauvigné, Julien Bobe and Anne Bonnieu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Jean‐Charles Gabillard

51 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean‐Charles Gabillard France 24 927 765 509 399 376 53 2.1k
Pierre‐Yves Rescan France 27 996 1.1× 551 0.7× 552 1.1× 383 1.0× 199 0.5× 63 2.0k
Alfredo Molina Chile 25 753 0.8× 740 1.0× 345 0.7× 637 1.6× 223 0.6× 102 2.2k
P.M. Ingleton United Kingdom 30 547 0.6× 637 0.8× 401 0.8× 435 1.1× 494 1.3× 73 2.2k
Bruria Funkenstein Israel 30 672 0.7× 667 0.9× 875 1.7× 297 0.7× 868 2.3× 80 2.3k
Juan Antonio Valdés Chile 24 559 0.6× 756 1.0× 245 0.5× 585 1.5× 152 0.4× 90 1.9k
Neil I. Bower Australia 29 1.2k 1.3× 453 0.6× 449 0.9× 356 0.9× 95 0.3× 46 2.4k
Daniel García de la serrana Spain 20 402 0.4× 574 0.8× 332 0.7× 367 0.9× 147 0.4× 43 1.2k
Zhan Yin China 27 1.4k 1.5× 296 0.4× 636 1.2× 119 0.3× 119 0.3× 93 2.5k
Alfonso Saera-Vila Spain 23 399 0.4× 772 1.0× 177 0.3× 260 0.7× 151 0.4× 38 1.5k
Maria Denaro Italy 20 655 0.7× 363 0.5× 430 0.8× 192 0.5× 128 0.3× 52 1.8k

Countries citing papers authored by Jean‐Charles Gabillard

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Charles Gabillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Charles Gabillard. 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 Jean‐Charles Gabillard. The network helps show where Jean‐Charles Gabillard may publish in the future.

Co-authorship network of co-authors of Jean‐Charles Gabillard

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Charles Gabillard. A scholar is included among the top collaborators of Jean‐Charles Gabillard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Charles Gabillard. Jean‐Charles Gabillard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gabillard, Jean‐Charles, et al.. (2026). Distinct muscle stem cell fates governing hyperplasia and hypertrophy muscle growth in fish. bioRxiv (Cold Spring Harbor Laboratory).
2.
3.
Hue, Isabelle, et al.. (2023). Recent advances in the crosstalk between adipose, muscle and bone tissues in fish. Frontiers in Endocrinology. 14. 1155202–1155202. 11 indexed citations
4.
Gabillard, Jean‐Charles, Isabel Navarro, Encarnación Capilla, et al.. (2022). Myomaker and Myomixer Characterization in Gilthead Sea Bream under Different Myogenesis Conditions. International Journal of Molecular Sciences. 23(23). 14639–14639. 8 indexed citations
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6.
Tesseraud, Sophie, Muriel Bonnet, Anne Bonnieu, et al.. (2020). Autophagy in farm animals: current knowledge and future challenges. Autophagy. 17(8). 1809–1827. 35 indexed citations
7.
Ramirez-Martinez, Andres, et al.. (2019). Trout myomaker contains 14 minisatellites and two sequence extensions but retains fusogenic function. Journal of Biological Chemistry. 294(16). 6364–6374. 14 indexed citations
8.
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Bugeon, Jérôme, et al.. (2018). Naa15 knockdown enhances c2c12 myoblast fusion and induces defects in zebrafish myotome morphogenesis. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 228. 61–67. 2 indexed citations
10.
Latimer, Mary N., Noah D. Sabin, Aurélie Le Cam, et al.. (2017). miR-210 expression is associated with methionine-induced differentiation of trout satellite cells. Journal of Experimental Biology. 220(Pt 16). 2932–2938. 19 indexed citations
11.
Biga, Peggy R., et al.. (2017). Distribution of H3K27me3, H3K9me3, and H3K4me3 along autophagy-related genes highly expressed in starved zebrafish myotubes. Biology Open. 6(11). 1720–1725. 15 indexed citations
12.
Bou, Marta, Jérôme Montfort, Aurélie Le Cam, et al.. (2017). Gene expression profile during proliferation and differentiation of rainbow trout adipocyte precursor cells. BMC Genomics. 18(1). 347–347. 31 indexed citations
13.
Juanchich, Amélie, Philippe Bardou, Olivier Rué, et al.. (2016). Characterization of an extensive rainbow trout miRNA transcriptome by next generation sequencing. BMC Genomics. 17(1). 164–164. 63 indexed citations
14.
Seiliez, Iban, et al.. (2014). Preparation of Primary Myogenic Precursor Cell/Myoblast Cultures from Basal Vertebrate Lineages. Journal of Visualized Experiments. 24 indexed citations
15.
Seiliez, Iban, Jean‐Charles Gabillard, Bastien Sadoul, et al.. (2012). Amino acids downregulate the expression of several autophagy-related genes in rainbow trout myoblasts. Autophagy. 8(3). 364–375. 43 indexed citations
16.
Archer, Eric, et al.. (2008). Culture of primary myogenic cells derived from adult muscle and electric organ of the gymnotiform S. macrurus. Developmental Biology. 319(2). 557–557. 2 indexed citations
17.
Gabillard, Jean‐Charles, et al.. (2006). Influence of circulating GH levels on GH-binding capacity measurements in the hepatic membrane of rainbow trout (Oncorhynchus mykiss): importance of normalization of results. Fish Physiology and Biochemistry. 32(2). 121–130. 3 indexed citations
18.
Gabillard, Jean‐Charles, Hélène Duval, Chantal Cauty, et al.. (2002). Differential expression of the two GH genes during embryonic development of rainbow trout oncorhynchus mykiss in relation with the IGFs system. Molecular Reproduction and Development. 64(1). 32–40. 46 indexed citations
19.
Gabillard, Jean‐Charles. (1956). Claude Ponsard, Économie et espace. Essai d'intégration du facteur spatial dans l'analyse économique. Persée (Ministère de lEnseignement supérieur et de la Recherche). 6 indexed citations
20.
Gabillard, Jean‐Charles. (1955). Richard Cantillon, Essai sur la nature du commerce en général. Persée (Ministère de lEnseignement supérieur et de la Recherche). 3 indexed citations

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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Rankless by CCL
2026