Gilles Meyer

2.9k citations
77 papers · 2.0k · h-index 29

Impact in

Papers in

    • Respiratory viral infections research 18
    • Herpesvirus Infections and Treatments 17
    • Influenza Virus Research Studies 11
    • Animal Disease Management and Epidemiology 29

Gilles Meyer

74 papers receiving 1.9k citations

Peers

Gilles Meyer
Comparison fields: 5 of 103
  • Computational Mathematics 36
  • Microbiology 321
  • Agronomy and Crop Science 534
  • Epidemiology 1.1k
  • Infectious Diseases 376
Replace James R. Gilkerson with:
James R. Gilkerson Australia
Frank van der Meer Canada
Elisabeth Liebler–Tenorio Germany
Iwona Markowska‐Daniel Poland
Dale L. Godson Canada
Ana Cláudia Franco Brazil
Trevelyan J. McKinley United Kingdom
Silke Rautenschlein Germany
Arnab Sen India
K. J. Fahey Australia
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Citations per field
00.5×3.1×
James R. Gilkerson · 1×
Citations per year

Countries citing papers authored by Gilles Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gilles Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gilles Meyer Line = papers co-authored together Gilles Meyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015129
2 2007101
3 201798
4 199495
5 200791
6 200184
7 202269
8 201363
9 201363
10 201958
11 200057
12 200757
13 201947
14 199846
15 199539
16 201038
17 200137
18 200037
19 201236
20 199936

About Gilles Meyer

Gilles Meyer is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Microbiology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (29 papers), Respiratory viral infections research (18 papers), Herpesvirus Infections and Treatments (17 papers), Vector-Borne Animal Diseases (16 papers), Microbial infections and disease research (14 papers), Influenza Virus Research Studies (11 papers), Viral gastroenteritis research and epidemiology (8 papers) and Sparse and Compressive Sensing Techniques (7 papers). The work is most often cited by research in Computational Mathematics (36 citations), Microbiology (321 citations), Agronomy and Crop Science (534 citations), Epidemiology (1.1k citations) and Infectious Diseases (376 citations). Gilles Meyer has collaborated with scholars based in France, Belgium and Sweden. Frequent co-authors include Mariette Ducatez, Étienne Thiry, Rodolphe Sepulchre, Claire Pelletier, Bamdev Mishra, Maria Gaudino, Frédéric Schynts, Mylène Lemaire, Martine Deplanche and Silvère Bonnabel. Their work appears in journals such as Journal of Virology, Journal of General Virology, Viruses, Transboundary and Emerging Diseases and PLoS ONE.

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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