Bernard Fournier

31 total papers · 629 total citations
30 papers, 459 citations indexed

About

Bernard Fournier is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Insect Science. According to data from OpenAlex, Bernard Fournier has authored 30 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 8 papers in Insect Science. Recurrent topics in Bernard Fournier's work include Neurobiology and Insect Physiology Research (18 papers), Insect Utilization and Effects (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Bernard Fournier is often cited by papers focused on Neurobiology and Insect Physiology Research (18 papers), Insect Utilization and Effects (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Bernard Fournier collaborates with scholars based in France, Poland and Canada. Bernard Fournier's co-authors include Josiane Girardie, Jacques Proux, Jean Mironneau, Nathalie Macrez, C. Mironneau, А. Г. Бабич, Bernd Nürnberg, Jean‐François Quignard, Jean-Pascal Hérault and Adrien Girardie and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and European Journal of Biochemistry.

In The Last Decade

Bernard Fournier

30 papers receiving 446 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bernard Fournier 275 173 124 112 51 30 459
Richard J. Siviter 347 1.3× 175 1.0× 148 1.2× 122 1.1× 22 0.4× 14 491
Michiko Fujita 141 0.5× 78 0.5× 70 0.6× 46 0.4× 22 0.4× 20 411
M. Koehler 138 0.5× 329 1.9× 114 0.9× 138 1.2× 25 0.5× 10 541
Kaleigh Fisher 154 0.6× 169 1.0× 89 0.7× 95 0.8× 40 0.8× 20 513
Hiroyuki Kose 137 0.5× 221 1.3× 88 0.7× 152 1.4× 15 0.3× 48 547
Daniel Comas 193 0.7× 124 0.7× 89 0.7× 139 1.2× 29 0.6× 13 452
Patricia Jumbo‐Lucioni 80 0.3× 205 1.2× 35 0.3× 66 0.6× 37 0.7× 24 539
Daojun Cheng 227 0.8× 276 1.6× 117 0.9× 87 0.8× 39 0.8× 29 513
Nobuhiko Asada 89 0.3× 121 0.7× 143 1.2× 66 0.6× 16 0.3× 26 430
Gayle Overend 247 0.9× 260 1.5× 158 1.3× 73 0.7× 77 1.5× 16 532

Countries citing papers authored by Bernard Fournier

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Fournier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Fournier

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Fournier. A scholar is included among the top collaborators of Bernard Fournier 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 Bernard Fournier. Bernard Fournier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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