Benoı̂t Bernay

1.9k citations
89 papers · 1.4k · h-index 19

Impact in

Papers in

Benoı̂t Bernay

80 papers receiving 1.4k citations

Peers

Benoı̂t Bernay
Comparison fields: 5 of 109
  • Aquatic Science 167
  • Pollution 248
  • Cellular and Molecular Neuroscience 212
  • Physiology 52
  • Microbiology 58
Replace Jaime Figueroa with:
Jaime Figueroa Chile
Xiande Huang China
Alex Romero Chile
Pavel Hyršl Czechia
Marco Gerdol Italy
Hyun‐Woo Kim South Korea
Shujun Zhang China
Attila Karsi United States
Renyu Xue China
Yan Sun China
Benoı̂t Bernay relative to Jaime Figueroa Chile Jaime Figueroa's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Benoı̂t Bernay, 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 Benoı̂t Bernay Line = papers co-authored together Benoı̂t Bernay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012332
2 201468
3 201259
4 201358
5 201255
6 201549
7 201447
8 201441
9 200939
10 201437
11 201529
12 200627
13 201826
14 201126
15 201725
16 200923
17 202019
18 201119
19 202018
20 201518

About Benoı̂t Bernay

Benoı̂t Bernay is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Aquatic Science and Immunology, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Cephalopods and Marine Biology (12 papers), Aquaculture Nutrition and Growth (11 papers), Marine Bivalve and Aquaculture Studies (8 papers), Reproductive biology and impacts on aquatic species (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Invertebrate Immune Response Mechanisms (6 papers) and Aquaculture disease management and microbiota (6 papers). The work is most often cited by research in Aquatic Science (167 citations), Pollution (248 citations), Cellular and Molecular Neuroscience (212 citations), Physiology (52 citations) and Microbiology (58 citations). Benoı̂t Bernay has collaborated with scholars based in France, Italy and Netherlands. Frequent co-authors include Gilles-Éric Séralini, Robin Mesnage, Joël Henry, Céline Zatylny‐Gaudin, Erwan Corre, Gildas Le Corguillé, Pascal Favrel, Bruno Zanuttini, Vincent Fournier and Valérie Cornet. Their work appears in journals such as PLoS ONE, General and Comparative Endocrinology, Peptides, Journal of Proteomics and Fish & Shellfish Immunology.

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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