J.C. Garaud

27 total papers · 761 total citations
24 papers, 617 citations indexed

About

J.C. Garaud is a scholar working on Cellular and Molecular Neuroscience, Surgery and Molecular Biology. According to data from OpenAlex, J.C. Garaud has authored 24 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in J.C. Garaud's work include Neuropeptides and Animal Physiology (6 papers), Regulation of Appetite and Obesity (4 papers) and Pancreatic function and diabetes (3 papers). J.C. Garaud is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Regulation of Appetite and Obesity (4 papers) and Pancreatic function and diabetes (3 papers). J.C. Garaud collaborates with scholars based in France, Denmark and Morocco. J.C. Garaud's co-authors include G. Jonard, K. Richards, H. Guilley, M. Verbeek, Véronique Brault, Etienne Herrbach, V. Ziegler-Graff, C. Stussi-Garaud, Daniel Hanau and Jean‐Pierre Cazenave and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

J.C. Garaud

24 papers receiving 590 citations

Author Peers

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

Author						Papers	Cites
J.C. Garaud	251	138	110	95	82	24	617
J. Sakai	153 0.6×	101 0.7×	15 0.1×	60 0.6×	24 0.3×	41	496
Monika Sharma	264 1.1×	213 1.5×	72 0.7×	14 0.1×	22 0.3×	15	523
Valerie Leathers	162 0.6×	339 2.5×	17 0.2×	27 0.3×	36 0.4×	16	574
Elizabeth I. Parsons	60 0.2×	141 1.0×	43 0.4×	62 0.7×	14 0.2×	23	513
Zhenxing Zhao	286 1.1×	296 2.1×	49 0.4×	66 0.7×	11 0.1×	26	682
Josef Weibel	113 0.5×	247 1.8×	26 0.2×	31 0.3×	17 0.2×	24	632
E. S. Snigirevskaya	50 0.2×	262 1.9×	101 0.9×	96 1.0×	94 1.1×	33	520
Phuong T. Ho	154 0.6×	326 2.4×	41 0.4×	47 0.5×	9 0.1×	26	619
Charles E. Rozek	135 0.5×	404 2.9×	18 0.2×	32 0.3×	57 0.7×	13	547
Eitan Glick	119 0.5×	349 2.5×	273 2.5×	19 0.2×	15 0.2×	11	590

Countries citing papers authored by J.C. Garaud

Since Specialization

Citations

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

Fields of papers citing papers by J.C. Garaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.C. Garaud

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