Aurélie Mayet

115 total papers · 1.0k total citations
68 papers, 727 citations indexed

About

Aurélie Mayet is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Aurélie Mayet has authored 68 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 20 papers in Infectious Diseases and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Aurélie Mayet's work include Substance Abuse Treatment and Outcomes (12 papers), Influenza Virus Research Studies (10 papers) and Cannabis and Cannabinoid Research (9 papers). Aurélie Mayet is often cited by papers focused on Substance Abuse Treatment and Outcomes (12 papers), Influenza Virus Research Studies (10 papers) and Cannabis and Cannabinoid Research (9 papers). Aurélie Mayet collaborates with scholars based in France, French Guiana and Djibouti. Aurélie Mayet's co-authors include Nearkasèn Chau, Stéphane Legleye, Bruno Falissard, François Beck, Xavier Deparis, C. Verret, R. Haus-Cheymol, R. Migliani, Catherine Marimoutou and Bertrand Dautzenberg and has published in prestigious journals such as Addiction, BMC Public Health and Vaccine.

In The Last Decade

Aurélie Mayet

64 papers receiving 690 citations

Author Peers

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

Author Last Decade Papers Cites
Aurélie Mayet 222 172 140 137 137 68 727
Iheb Bougmiza 181 0.8× 125 0.7× 124 0.9× 34 0.2× 112 0.8× 95 839
Remington L. Nevin 120 0.5× 99 0.6× 182 1.3× 67 0.5× 57 0.4× 50 753
Fabiana Schuelter‐Trevisol 205 0.9× 170 1.0× 128 0.9× 27 0.2× 44 0.3× 119 840
Liat Ashkenazi‐Hoffnung 254 1.1× 241 1.4× 196 1.4× 23 0.2× 62 0.5× 56 769
Anna Last 251 1.1× 128 0.7× 157 1.1× 86 0.6× 49 0.4× 60 856
Mónica Chan 376 1.7× 200 1.2× 94 0.7× 79 0.6× 55 0.4× 46 854
Alice Thornton 442 2.0× 386 2.2× 136 1.0× 93 0.7× 30 0.2× 51 858
Angela Dunn 84 0.4× 180 1.0× 76 0.5× 38 0.3× 137 1.0× 26 651
Yusuke Okubo 208 0.9× 90 0.5× 109 0.8× 34 0.2× 95 0.7× 67 799
Tu‐Hsuan Chang 256 1.2× 233 1.4× 89 0.6× 28 0.2× 99 0.7× 28 702

Countries citing papers authored by Aurélie Mayet

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Mayet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Mayet

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