Mathieu Le Gars

65 total papers · 5.9k total citations
21 papers, 309 citations indexed

About

Mathieu Le Gars is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Mathieu Le Gars has authored 21 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 7 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Mathieu Le Gars's work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (6 papers) and Influenza Virus Research Studies (5 papers). Mathieu Le Gars is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (6 papers) and Influenza Virus Research Studies (5 papers). Mathieu Le Gars collaborates with scholars based in United States, Netherlands and Belgium. Mathieu Le Gars's co-authors include Jean‐Michel Sallenave, Delphyne Descamps, Michel Chignard, Catherine A. Blish, Diane Barbier, Bénédicte Manoury, Sophia Maschalidi, Viviane Balloy, Mira Tohmé and Reuben Ramphal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Mathieu Le Gars

17 papers receiving 306 citations

Author Peers

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

Author Last Decade Papers Cites
Mathieu Le Gars 109 104 66 59 53 21 309
Jeremy Anderson 99 0.9× 53 0.5× 53 0.8× 77 1.3× 68 1.3× 22 339
Natascha Köstlin‐Gille 147 1.3× 58 0.6× 40 0.6× 27 0.5× 54 1.0× 24 292
Jeanne Bigot 48 0.4× 112 1.1× 30 0.5× 78 1.3× 67 1.3× 32 326
E.I. Arafa 208 1.9× 71 0.7× 106 1.6× 39 0.7× 85 1.6× 14 353
Brian T. Campfield 76 0.7× 51 0.5× 94 1.4× 105 1.8× 117 2.2× 24 363
Micaela Garziano 45 0.4× 26 0.3× 78 1.2× 95 1.6× 62 1.2× 25 282
Orhan Raşid 166 1.5× 26 0.3× 78 1.2× 88 1.5× 77 1.5× 21 327
Venkata Ramanarao Parasa 175 1.6× 51 0.5× 63 1.0× 145 2.5× 92 1.7× 13 341
Augusto Varese 103 0.9× 57 0.5× 53 0.8× 56 0.9× 97 1.8× 16 259
Martin L. Watzenboeck 135 1.2× 67 0.6× 105 1.6× 37 0.6× 38 0.7× 17 336

Countries citing papers authored by Mathieu Le Gars

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Le Gars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathieu Le Gars. 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 Mathieu Le Gars. The network helps show where Mathieu Le Gars may publish in the future.

Co-authorship network of co-authors of Mathieu Le Gars

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Le Gars. A scholar is included among the top collaborators of Mathieu Le Gars 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 Mathieu Le Gars. Mathieu Le Gars 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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