M. Guéguen

67 total papers · 749 total citations
34 papers, 575 citations indexed

About

M. Guéguen is a scholar working on Genetics, Epidemiology and Immunology. According to data from OpenAlex, M. Guéguen has authored 34 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in M. Guéguen's work include Diabetes and associated disorders (9 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and HIV Research and Treatment (4 papers). M. Guéguen is often cited by papers focused on Diabetes and associated disorders (9 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and HIV Research and Treatment (4 papers). M. Guéguen collaborates with scholars based in France, Switzerland and Belgium. M. Guéguen's co-authors include Fernando Álvarez, R Fauchet, Olivier Bernard, B Genetet, M Meunier-Rotival, H Allannic, Y Lorcy, William E. Biddison, Eric O. Long and Anne-Marie Leguerrier and has published in prestigious journals such as The Lancet, The Journal of Experimental Medicine and Gastroenterology.

In The Last Decade

M. Guéguen

34 papers receiving 557 citations

Author Peers

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

Author Last Decade Papers Cites
M. Guéguen 152 121 109 103 83 34 575
J. A. Räsänen 151 1.0× 72 0.6× 45 0.4× 114 1.1× 57 0.7× 28 578
Patrizia Carotenuto 139 0.9× 153 1.3× 59 0.5× 222 2.2× 87 1.0× 18 540
Dalton A. F. Chamone 123 0.8× 42 0.3× 36 0.3× 45 0.4× 86 1.0× 50 695
Stebbins B. Chandor 135 0.9× 89 0.7× 52 0.5× 100 1.0× 76 0.9× 36 654
Chen‐Chung Chu 140 0.9× 192 1.6× 38 0.3× 288 2.8× 79 1.0× 30 684
Meenakshi Sachdeva 81 0.5× 26 0.2× 64 0.6× 135 1.3× 46 0.6× 34 503
Luz María Medrano 197 1.3× 106 0.9× 94 0.9× 190 1.8× 100 1.2× 33 589
Ikuo Nagata 207 1.4× 43 0.4× 175 1.6× 35 0.3× 41 0.5× 29 559
Samar Ojaimi 210 1.4× 40 0.3× 75 0.7× 172 1.7× 145 1.7× 35 630
G Skibiński 93 0.6× 31 0.3× 54 0.5× 170 1.7× 44 0.5× 25 697

Countries citing papers authored by M. Guéguen

Since Specialization
Citations

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

Fields of papers citing papers by M. Guéguen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Guéguen

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