Gérard Percheron

26 total papers · 1.5k total citations
18 papers, 833 citations indexed

About

Gérard Percheron is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Gérard Percheron has authored 18 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 6 papers in Neurology. Recurrent topics in Gérard Percheron's work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (7 papers) and Neurological disorders and treatments (6 papers). Gérard Percheron is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (7 papers) and Neurological disorders and treatments (6 papers). Gérard Percheron collaborates with scholars based in France. Gérard Percheron's co-authors include Jérôme Yelnik, Chantal François, Chantal Francis, Gilles Fénelon, Dominique Tandé and John S. McKenzie and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Neuroreport.

In The Last Decade

Gérard Percheron

18 papers receiving 809 citations

Author Peers

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

Author Last Decade Papers Cites
Gérard Percheron 589 498 292 73 65 18 833
Lucı́a Prensa 770 1.3× 400 0.8× 306 1.0× 252 3.5× 47 0.7× 28 1.1k
Craig D. Hardman 444 0.8× 413 0.8× 135 0.5× 103 1.4× 58 0.9× 21 726
Mark Dubach 482 0.8× 312 0.6× 301 1.0× 178 2.4× 174 2.7× 30 997
A Hopf 408 0.7× 212 0.4× 176 0.6× 202 2.8× 101 1.6× 28 712
Natalie Hauglund 493 0.8× 265 0.5× 211 0.7× 83 1.1× 50 0.8× 19 866
Nancy Pavón 515 0.9× 478 1.0× 210 0.7× 183 2.5× 28 0.4× 17 924
Rachel Fremont 502 0.9× 480 1.0× 134 0.5× 131 1.8× 35 0.5× 19 805
D.A. McRitchie 586 1.0× 539 1.1× 111 0.4× 219 3.0× 75 1.2× 20 932
Raúl J. Macías 284 0.5× 684 1.4× 258 0.9× 62 0.8× 57 0.9× 13 957
Qiaoling Cui 590 1.0× 320 0.6× 207 0.7× 223 3.1× 18 0.3× 16 779

Countries citing papers authored by Gérard Percheron

Since Specialization
Citations

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

Fields of papers citing papers by Gérard Percheron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gérard Percheron

This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Percheron. A scholar is included among the top collaborators of Gérard Percheron 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 Gérard Percheron. Gérard Percheron 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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