J.-M. Gaillard

13 total papers · 550 total citations
12 papers, 423 citations indexed

About

J.-M. Gaillard is a scholar working on Physiology, Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, J.-M. Gaillard has authored 12 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 4 papers in Biochemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in J.-M. Gaillard's work include Amino Acid Enzymes and Metabolism (4 papers), Tryptophan and brain disorders (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). J.-M. Gaillard is often cited by papers focused on Amino Acid Enzymes and Metabolism (4 papers), Tryptophan and brain disorders (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). J.-M. Gaillard collaborates with scholars based in Switzerland and France. J.-M. Gaillard's co-authors include R. Blois, Helli Merica, D. Delorme, Jean Widmer, R Tissot, J.M. Angibault, Jean‐Pierre Vincent, Éric Bideau, P Dick and F B Michel and has published in prestigious journals such as SLEEP, European Journal of Neuroscience and Neuropsychobiology.

In The Last Decade

J.-M. Gaillard

12 papers receiving 397 citations

Author Peers

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

Author Last Decade Papers Cites
J.-M. Gaillard 337 286 151 37 25 12 423
Jennifer L. Lapierre 288 0.9× 136 0.5× 263 1.7× 34 0.9× 66 2.6× 14 438
Pekka T.S. Putkonen 266 0.8× 240 0.8× 158 1.0× 54 1.5× 8 0.3× 16 460
Judith C. Kreutzmann 198 0.6× 126 0.4× 99 0.7× 32 0.9× 6 0.2× 11 394
Svitlana Palchykova 265 0.8× 94 0.3× 149 1.0× 52 1.4× 13 0.5× 11 378
T. E. Scammell 292 0.9× 217 0.8× 283 1.9× 45 1.2× 3 0.1× 6 404
Michael Koban 171 0.5× 122 0.4× 189 1.3× 89 2.4× 94 3.8× 10 402
Daniela Dentico 348 1.0× 167 0.6× 124 0.8× 40 1.1× 3 0.1× 20 484
Thalia Richter 117 0.3× 131 0.5× 32 0.2× 13 0.4× 19 0.8× 17 480
G. Rubicsek 246 0.7× 105 0.4× 246 1.6× 79 2.1× 7 0.3× 14 378
Seung‐Chul Hong 212 0.6× 259 0.9× 167 1.1× 92 2.5× 2 0.1× 8 435

Countries citing papers authored by J.-M. Gaillard

Since Specialization
Citations

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

Fields of papers citing papers by J.-M. Gaillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-M. Gaillard. 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 J.-M. Gaillard. The network helps show where J.-M. Gaillard may publish in the future.

Co-authorship network of co-authors of J.-M. Gaillard

This figure shows the co-authorship network connecting the top 25 collaborators of J.-M. Gaillard. A scholar is included among the top collaborators of J.-M. Gaillard 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 J.-M. Gaillard. J.-M. Gaillard 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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