J.-M. Garel

53 total papers · 797 total citations
41 papers, 615 citations indexed

About

J.-M. Garel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Nephrology. According to data from OpenAlex, J.-M. Garel has authored 41 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Nephrology. Recurrent topics in J.-M. Garel's work include Neuropeptides and Animal Physiology (10 papers), Parathyroid Disorders and Treatments (9 papers) and Adipose Tissue and Metabolism (6 papers). J.-M. Garel is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Parathyroid Disorders and Treatments (9 papers) and Adipose Tissue and Metabolism (6 papers). J.-M. Garel collaborates with scholars based in France, United Kingdom and United States. J.-M. Garel's co-authors include J.P. Barlet, A. D. Care, Philippe Besnard, Amandine Jullienne, M.P. Dubois, Daniel Ricquier, M.S. Moukhtar, G Rosselin, Claudine Boissard and N. Segond and has published in prestigious journals such as Physiological Reviews, The Journal of Clinical Endocrinology & Metabolism and Biochemical Journal.

In The Last Decade

J.-M. Garel

41 papers receiving 565 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. Garel 156 130 106 104 103 41 615
E. Bucht 177 1.1× 110 0.8× 58 0.5× 48 0.5× 35 0.3× 36 528
Neva J. Fudge 173 1.1× 49 0.4× 94 0.9× 32 0.3× 116 1.1× 23 677
Bruce S. Chertow 195 1.3× 185 1.4× 44 0.4× 105 1.0× 32 0.3× 35 654
Liangchai Limlomwongse 219 1.4× 151 1.2× 58 0.5× 69 0.7× 34 0.3× 39 584
D.P. Alexander 85 0.5× 100 0.8× 255 2.4× 50 0.5× 54 0.5× 36 671
Fernando R. Ibarra 334 2.1× 142 1.1× 42 0.4× 60 0.6× 56 0.5× 37 576
Naoki Mitsuhashi 111 0.7× 68 0.5× 39 0.4× 22 0.2× 29 0.3× 36 645
T. M. Nguyen 83 0.5× 47 0.4× 215 2.0× 68 0.7× 37 0.4× 24 626
Jacob Green 132 0.8× 41 0.3× 47 0.4× 49 0.5× 158 1.5× 35 535
Jèns Bing 168 1.1× 100 0.8× 35 0.3× 105 1.0× 45 0.4× 51 600

Countries citing papers authored by J.-M. Garel

Since Specialization
Citations

This map shows the geographic impact of J.-M. Garel'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. Garel 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. Garel more than expected).

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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