Benoı̂t Bernay

1.8k total citations
87 papers, 1.3k citations indexed

About

Benoı̂t Bernay is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Benoı̂t Bernay has authored 87 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 14 papers in Genetics. Recurrent topics in Benoı̂t Bernay's work include Neurobiology and Insect Physiology Research (14 papers), Cephalopods and Marine Biology (12 papers) and Aquaculture Nutrition and Growth (12 papers). Benoı̂t Bernay is often cited by papers focused on Neurobiology and Insect Physiology Research (14 papers), Cephalopods and Marine Biology (12 papers) and Aquaculture Nutrition and Growth (12 papers). Benoı̂t Bernay collaborates with scholars based in France, Netherlands and Italy. Benoı̂t Bernay's co-authors include Gilles-Éric Séralini, Robin Mesnage, Joël Henry, Céline Zatylny‐Gaudin, Erwan Corre, Gildas Le Corguillé, Pascal Favrel, Vincent Fournier, Aurélie Budin‐Verneuil and Axel Hartke and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Physiology.

In The Last Decade

Benoı̂t Bernay

73 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoı̂t Bernay France 18 449 238 233 209 161 87 1.3k
Magdalena Rost–Roszkowska Poland 23 246 0.5× 131 0.6× 109 0.5× 102 0.5× 97 0.6× 95 1.4k
Lena Holm Sweden 22 274 0.6× 234 1.0× 96 0.4× 63 0.3× 45 0.3× 57 1.4k
Wenyan Nong Hong Kong 20 581 1.3× 184 0.8× 42 0.2× 58 0.3× 67 0.4× 58 1.2k
Chiara Manfrin Italy 20 269 0.6× 57 0.2× 81 0.3× 103 0.5× 151 0.9× 53 1.2k
Xinxin You China 27 613 1.4× 147 0.6× 226 1.0× 75 0.4× 625 3.9× 101 2.0k
Pavel Hyršl Czechia 22 297 0.7× 245 1.0× 49 0.2× 123 0.6× 173 1.1× 70 1.4k
Renyu Xue China 25 1.0k 2.3× 206 0.9× 42 0.2× 103 0.5× 126 0.8× 127 2.0k
Rodrigo Nunes da Fonseca Brazil 19 460 1.0× 133 0.6× 23 0.1× 152 0.7× 39 0.2× 67 954
Julie Fiévet France 20 402 0.9× 462 1.9× 65 0.3× 26 0.1× 140 0.9× 32 1.6k
Xiande Huang China 25 419 0.9× 118 0.5× 92 0.4× 80 0.4× 284 1.8× 66 1.9k

Countries citing papers authored by Benoı̂t Bernay

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Bernay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoı̂t Bernay

This figure shows the co-authorship network connecting the top 25 collaborators of Benoı̂t Bernay. A scholar is included among the top collaborators of Benoı̂t Bernay 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 Benoı̂t Bernay. Benoı̂t Bernay 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.
Bernay, Benoı̂t, et al.. (2025). The Trojan horse effect of nanoplastics exacerbates methylmercury-induced neurotoxicity during zebrafish development. Environmental Pollution. 384. 126966–126966.
2.
Bernay, Benoı̂t, et al.. (2025). Development of an extraction method for the identification of peptides in the spermosphere of common bean (Phaseolus vulgaris L.). Seed Science Research. 35(1). 49–59. 1 indexed citations
3.
4.
Bergot, Emmanuel, et al.. (2025). NDR2 kinase: A review of its physiological role and involvement in carcinogenesis. International Journal of Biological Macromolecules. 311(Pt 1). 143656–143656. 1 indexed citations
5.
Boutet, Stéphanie, Damaris Grain, Céline Boulard, et al.. (2025). Multi‐omic analyses unveil contrasting composition and spatial distribution of specialized metabolites in seeds of Camelina sativa and other Brassicaceae. The Plant Journal. 121(3). e17231–e17231. 4 indexed citations
6.
Combarnous, Yves, et al.. (2024). Characterization of gonadotropins and their receptors in a chondrichthyan, Scyliorhinus canicula, fills a gap in the understanding of their coevolution. General and Comparative Endocrinology. 358. 114614–114614. 2 indexed citations
7.
Marmolejo-Garza, Alejandro, Laurent Châtre, Deborah L. Croteau, et al.. (2024). Nicotinamide riboside modulates the reactive species interactome, bioenergetic status and proteomic landscape in a brain-region-specific manner. Neurobiology of Disease. 200. 106645–106645. 3 indexed citations
8.
9.
Dupoué, Andréaz, Matthias Huber, Jacqueline Le Grand, et al.. (2024). Reproductive aging weakens offspring survival and constrains the telomerase response to herpesvirus in Pacific oysters. Science Advances. 10(37). eadq2311–eadq2311.
10.
Bernay, Benoı̂t, et al.. (2024). A mass spectrometry-based peptidomic dataset of the spermosphere in common bean (Phaseolus vulgaris L.) seeds. Scientific Data. 11(1). 1202–1202. 1 indexed citations
11.
Arkoun, Mustapha, et al.. (2024). Ionomic and proteomic changes highlight the effect of silicon supply on the nodules functioning of Trifolium incarnatum L.. Frontiers in Plant Science. 15. 1462149–1462149. 4 indexed citations
12.
Neves, Raquel A. F., et al.. (2023). The first use of LC-MS/MS proteomic approach in the brown mussel Perna perna after bacterial challenge: Searching for key proteins on immune response. Fish & Shellfish Immunology. 134. 108622–108622. 4 indexed citations
13.
Lê, Hung, Benoı̂t Bernay, Annick Schaumann, et al.. (2023). Antibiofilm and Antivirulence Properties of 6-Polyaminosteroid Derivatives against Antibiotic-Resistant Bacteria. Antibiotics. 13(1). 8–8.
14.
Even, Yasmine, Sébastien Artigaud, Hélène Hégaret, et al.. (2022). Physiological and comparative proteomic analyzes reveal immune defense response of the king scallop Pecten maximus in presence of paralytic shellfish toxin (PST) from Alexandrium minutum. Harmful Algae. 115. 102231–102231. 4 indexed citations
15.
Desmasures, Nathalie, Benoı̂t Bernay, Didier Goux, et al.. (2022). Molecular approaches to uncover phage-lactic acid bacteria interactions in a model community simulating fermented beverages. Food Microbiology. 107. 104069–104069. 9 indexed citations
16.
Zatylny‐Gaudin, Céline, Erwan Corre, Bruno Zanuttini, et al.. (2022). Identification of a New Set of Polypeptidic Sex Pheromones from Cuttlefish (Sepia officinalis). Marine Biotechnology. 24(3). 574–587.
17.
Dubos, Marie‐Pierre, Benoı̂t Bernay, & Pascal Favrel. (2016). Molecular characterization of an adipokinetic hormone-related neuropeptide (AKH) from a mollusk. General and Comparative Endocrinology. 243. 15–21. 10 indexed citations
18.
Henry, Joël, Benoı̂t Bernay, Andrés Ritter, et al.. (2014). Cellular Effects of Bacterial N-3-Oxo-Dodecanoyl-L-Homoserine Lactone on the Sponge Suberites domuncula (Olivi, 1792): Insights into an Intimate Inter-Kingdom Dialogue. PLoS ONE. 9(5). e97662–e97662. 15 indexed citations
19.
Laverde, Diana, Dominique Wobser, Charlotte Michaux, et al.. (2014). Identification of Peptidoglycan-Associated Proteins as Vaccine Candidates for Enterococcal Infections. PLoS ONE. 9(11). e111880–e111880. 46 indexed citations
20.
Henry, Joël, Valérie Cornet, Benoı̂t Bernay, & Céline Zatylny‐Gaudin. (2013). Identification and expression of two oxytocin/vasopressin-related peptides in the cuttlefish Sepia officinalis. Peptides. 46. 159–166. 17 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Magdalena Rost–Roszkowska Breakdown of academic impact, for papers by Lena Holm Breakdown of academic impact, for papers by Wenyan Nong Breakdown of academic impact, for papers by Chiara Manfrin Breakdown of academic impact, for papers by Xinxin You Breakdown of academic impact, for papers by Pavel Hyršl Breakdown of academic impact, for papers by Renyu Xue Breakdown of academic impact, for papers by Rodrigo Nunes da Fonseca Breakdown of academic impact, for papers by Julie Fiévet Breakdown of academic impact, for papers by Xiande Huang
Rankless by CCL
2026