Matthieu Lafaurie

135 total papers · 2.9k total citations
65 papers, 1.5k citations indexed

About

Matthieu Lafaurie is a scholar working on Epidemiology, Infectious Diseases and Oncology. According to data from OpenAlex, Matthieu Lafaurie has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Epidemiology, 28 papers in Infectious Diseases and 13 papers in Oncology. Recurrent topics in Matthieu Lafaurie's work include Antibiotic Resistance in Bacteria (11 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Pneumonia and Respiratory Infections (9 papers). Matthieu Lafaurie is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Pneumonia and Respiratory Infections (9 papers). Matthieu Lafaurie collaborates with scholars based in France, United States and Belgium. Matthieu Lafaurie's co-authors include Jean‐Michel Molina, Raphaël Porcher, A. Bourgarit, D. Séréni, Frank Martinez, D Droz, Christophe Legendre, André Furco, Alexandre Karras and Jean‐Luc Donay and has published in prestigious journals such as New England Journal of Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Matthieu Lafaurie

60 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Matthieu Lafaurie 780 758 293 182 167 65 1.5k
S. Alfandari 950 1.2× 1.0k 1.4× 157 0.5× 236 1.3× 160 1.0× 112 2.1k
Francisc Schlaeffer 429 0.6× 735 1.0× 527 1.8× 225 1.2× 211 1.3× 80 2.0k
Angelo Pan 1.1k 1.4× 548 0.7× 525 1.8× 409 2.2× 171 1.0× 67 2.2k
José Bordón 375 0.5× 1.3k 1.7× 289 1.0× 146 0.8× 109 0.7× 69 2.1k
Javier Murillas 668 0.9× 747 1.0× 227 0.8× 124 0.7× 107 0.6× 47 1.5k
Aristine Cheng 785 1.0× 927 1.2× 267 0.9× 90 0.5× 138 0.8× 98 1.9k
Yu‐Chung Chuang 897 1.1× 1.0k 1.3× 606 2.1× 175 1.0× 292 1.7× 121 2.3k
Christian Rabaud 721 0.9× 1.0k 1.3× 99 0.3× 165 0.9× 101 0.6× 104 2.1k
Lawrence J. Eron 673 0.9× 976 1.3× 170 0.6× 137 0.8× 336 2.0× 40 2.0k
Imad Kassis 648 0.8× 958 1.3× 288 1.0× 181 1.0× 194 1.2× 110 2.2k

Countries citing papers authored by Matthieu Lafaurie

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Lafaurie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Lafaurie

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