Jérôme Bugeon

2.1k total citations · 1 hit paper
50 papers, 1.5k citations indexed

About

Jérôme Bugeon is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, Jérôme Bugeon has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Aquatic Science, 15 papers in Immunology and 14 papers in Physiology. Recurrent topics in Jérôme Bugeon's work include Aquaculture Nutrition and Growth (36 papers), Aquaculture disease management and microbiota (15 papers) and Reproductive biology and impacts on aquatic species (14 papers). Jérôme Bugeon is often cited by papers focused on Aquaculture Nutrition and Growth (36 papers), Aquaculture disease management and microbiota (15 papers) and Reproductive biology and impacts on aquatic species (14 papers). Jérôme Bugeon collaborates with scholars based in France, Morocco and Finland. Jérôme Bugeon's co-authors include Florence Lefèvre, Isabelle Louveau, Bénédicte Lebret, Muriel Bonnet, Anne Listrat, Louis Lefaucheur, Thierry Astruc, Brigitte Picard, Claudine Weil and Pierrick Haffray and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Development.

In The Last Decade

Jérôme Bugeon

47 papers receiving 1.5k citations

Hit Papers

How Muscle Structure and Composition Influence Meat and F... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Bugeon France 19 703 538 342 294 259 50 1.5k
Simona Rimoldi Italy 28 1.5k 2.1× 231 0.4× 514 1.5× 271 0.9× 1.2k 4.6× 78 2.8k
Tone‐Kari Østbye Norway 20 916 1.3× 174 0.3× 374 1.1× 130 0.4× 561 2.2× 59 1.4k
Gangchun Xu China 19 691 1.0× 118 0.2× 313 0.9× 106 0.4× 575 2.2× 150 1.4k
David Nickell United Kingdom 12 861 1.2× 329 0.6× 196 0.6× 76 0.3× 316 1.2× 12 1.1k
Ragnar Nortvedt Norway 22 893 1.3× 670 1.2× 254 0.7× 35 0.1× 330 1.3× 44 1.4k
E. Abellán Spain 25 1.2k 1.7× 233 0.4× 194 0.6× 148 0.5× 895 3.5× 44 1.8k
Takao Yoshimatsu Japan 18 621 0.9× 150 0.3× 215 0.6× 97 0.3× 218 0.8× 95 1.3k
A. Garcı́a-Alcázar Spain 22 997 1.4× 225 0.4× 218 0.6× 214 0.7× 746 2.9× 49 1.6k
Beth M. Cleveland United States 24 868 1.2× 83 0.2× 366 1.1× 372 1.3× 534 2.1× 71 1.5k
Bjørn Roth Norway 27 1.4k 2.0× 915 1.7× 209 0.6× 48 0.2× 649 2.5× 80 2.1k

Countries citing papers authored by Jérôme Bugeon

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Bugeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Bugeon

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Bugeon. A scholar is included among the top collaborators of Jérôme Bugeon 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 Jérôme Bugeon. Jérôme Bugeon 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.
Pouil, Simon, Marc Vandeputte, Jean-Sébastien Bruant, et al.. (2025). Environmental consequences of genetic improvement of growth and fillet yield in gilthead seabream: A life cycle assessment from breeding to plate. Aquaculture. 613. 743302–743302.
3.
Morvezen, Romain, Pierrick Haffray, François Allal, et al.. (2023). Potential of genomic selection for growth, meat content and colour traits in mixed-family breeding designs for the Pacific oyster Crassostrea gigas. Aquaculture. 576. 739878–739878. 17 indexed citations
4.
Guyomar, Cervin, Thaovi Nguyen, Stéphanie Gay, et al.. (2023). Looking for a needle in a haystack: de novo phenotypic target identification reveals Hippo pathway-mediated miR-202 regulation of egg production. Nucleic Acids Research. 52(2). 738–754. 8 indexed citations
5.
Pécot, Thierry, Nathalie Hinfray, Rémy Beaudouin, et al.. (2023). An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries. Development. 150(7). 6 indexed citations
6.
Cam, Aurélie Le, et al.. (2022). Gene expression profiling of trout muscle during flesh quality recovery following spawning. BMC Genomics. 23(1). 9–9. 6 indexed citations
7.
Haffray, Pierrick, Jérôme Bugeon, Nicolas Dechamp, et al.. (2021). Genetic Parameters and Genome-Wide Association Studies of Quality Traits Characterised Using Imaging Technologies in Rainbow Trout, Oncorhynchus mykiss. Frontiers in Genetics. 12. 639223–639223. 24 indexed citations
8.
Haffray, Pierrick, Énora Prado, Nicolas Dechamp, et al.. (2021). Genetic architecture and genomic selection of fatty acid composition predicted by Raman spectroscopy in rainbow trout. BMC Genomics. 22(1). 788–788. 14 indexed citations
9.
Prado, Énora, David Causeur, Mathilde Dupont‐Nivet, et al.. (2021). Prediction of fatty acids composition in the rainbow trout Oncorhynchus mykiss by using Raman micro-spectroscopy. Analytica Chimica Acta. 1191. 339212–339212. 5 indexed citations
10.
Bugeon, Jérôme, et al.. (2020). C-ECi: a CUBIC-ECi combined clearing method for three-dimensional follicular content analysis in the fish ovary†. Biology of Reproduction. 103(5). 1099–1109. 5 indexed citations
11.
Cardona, Emilie, et al.. (2020). VisEgg: a robust phenotyping tool to assess rainbow trout egg features and viability. Fish Physiology and Biochemistry. 47(3). 671–679. 8 indexed citations
13.
Prchal, Martin, Antti Kause, Marc Vandeputte, et al.. (2018). The genetics of overwintering performance in two-year old common carp and its relation to performance until market size. PLoS ONE. 13(1). e0191624–e0191624. 20 indexed citations
14.
Gay, Stéphanie, Jérôme Bugeon, Fabrice Legeai, et al.. (2018). MiR-202 controls female fecundity by regulating medaka oogenesis. PLoS Genetics. 14(9). e1007593–e1007593. 57 indexed citations
15.
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
16.
Vandeputte, Marc, Anastasia Bestin, Alain Vergnet, et al.. (2016). Investigation of morphological predictors of fillet and carcass yield in European sea bass ( Dicentrarchus labrax ) for application in selective breeding. Aquaculture. 470. 40–49. 38 indexed citations
17.
Listrat, Anne, Bénédicte Lebret, Isabelle Louveau, et al.. (2015). How muscle structure and composition determine meat quality.. INRAE Productions Animales. 28(2). 125–136. 11 indexed citations
19.
Collewet, Guylaine, Jérôme Bugeon, Jérôme Idier, et al.. (2012). Rapid quantification of muscle fat content and subcutaneous adipose tissue in fish using MRI. Food Chemistry. 138(2-3). 2008–2015. 32 indexed citations
20.
Weil, Claudine, et al.. (2009). Differentially expressed proteins in rainbow trout adipocytes isolated from visceral and subcutaneous tissues. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 4(3). 235–241. 14 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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