J Gautier

59 total papers · 799 total citations
23 papers, 594 citations indexed

About

J Gautier is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cell Biology. According to data from OpenAlex, J Gautier has authored 23 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Physiology and 7 papers in Cell Biology. Recurrent topics in J Gautier's work include Muscle metabolism and nutrition (7 papers), Adipose Tissue and Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). J Gautier is often cited by papers focused on Muscle metabolism and nutrition (7 papers), Adipose Tissue and Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). J Gautier collaborates with scholars based in France, Belgium and United States. J Gautier's co-authors include P Vexiau, Eugène Sobngwi, Jean Claude Mbanya, Franck Mauvais‐Jarvis, E. Danforth, C. Weyer, F. Mosora, G Cathelineau, A Villeneuve and Jus A and has published in prestigious journals such as Journal of Applied Physiology, Diabetologia and European Journal of Applied Physiology.

In The Last Decade

J Gautier

23 papers receiving 547 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 Gautier 226 193 97 92 90 23 594
Frank R. Lecocq 166 0.7× 232 1.2× 71 0.7× 94 1.0× 50 0.6× 21 636
Bruno Solerte 171 0.8× 326 1.7× 40 0.4× 92 1.0× 60 0.7× 12 602
Etty Osher 148 0.7× 130 0.7× 59 0.6× 112 1.2× 74 0.8× 19 599
Saraswathy Nair 239 1.1× 222 1.2× 58 0.6× 117 1.3× 112 1.2× 19 556
J Koška 199 0.9× 207 1.1× 69 0.7× 100 1.1× 169 1.9× 31 696
Michael Koffler 280 1.2× 178 0.9× 86 0.9× 67 0.7× 104 1.2× 26 626
Christina Jang 218 1.0× 247 1.3× 63 0.6× 71 0.8× 93 1.0× 18 548
Manuel Tzagournis 259 1.1× 143 0.7× 81 0.8× 156 1.7× 74 0.8× 32 635
Eleanna De Filippis 99 0.4× 237 1.2× 68 0.7× 211 2.3× 94 1.0× 27 576
Mette Axelsen 263 1.2× 250 1.3× 47 0.5× 145 1.6× 127 1.4× 20 662

Countries citing papers authored by J Gautier

Since Specialization
Citations

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

Fields of papers citing papers by J Gautier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Gautier

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