Éric Garnotel

101 total papers · 1.3k total citations
51 papers, 884 citations indexed

About

Éric Garnotel is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Éric Garnotel has authored 51 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 12 papers in Epidemiology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Éric Garnotel's work include Antibiotic Resistance in Bacteria (7 papers), Tuberculosis Research and Epidemiology (7 papers) and Mycobacterium research and diagnosis (6 papers). Éric Garnotel is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Tuberculosis Research and Epidemiology (7 papers) and Mycobacterium research and diagnosis (6 papers). Éric Garnotel collaborates with scholars based in France, United Kingdom and Belgium. Éric Garnotel's co-authors include Jean‐Marie Pagès, Jacqueline Chevalier, Jean‐Michel Bolla, Anne Davin‐Regli, Pierre Nicolas, Jean‐Philippe Lavigne, Chloë E. James, Gunnstein Norheim, Dominique A. Caugant and Saacou Djibo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Éric Garnotel

50 papers receiving 860 citations

Author Peers

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

Author Last Decade Papers Cites
Éric Garnotel 303 253 213 170 170 51 884
Armine Sefton 381 1.3× 250 1.0× 164 0.8× 175 1.0× 131 0.8× 40 975
F. Bert 263 0.9× 219 0.9× 389 1.8× 153 0.9× 142 0.8× 27 929
Cheng-Hsun Chiu 252 0.8× 272 1.1× 245 1.2× 331 1.9× 107 0.6× 47 1.0k
Tanittha Chatsuwan 208 0.7× 140 0.6× 274 1.3× 199 1.2× 102 0.6× 83 942
Cédric Abat 313 1.0× 233 0.9× 193 0.9× 273 1.6× 179 1.1× 34 1.0k
A. von Graevenitz 341 1.1× 259 1.0× 111 0.5× 148 0.9× 112 0.7× 59 1.0k
Jae–Hoon Song 301 1.0× 278 1.1× 185 0.9× 75 0.4× 200 1.2× 36 786
Hiromu Takemura 304 1.0× 220 0.9× 218 1.0× 225 1.3× 82 0.5× 64 952
Chi-Jung Wu 300 1.0× 366 1.4× 203 1.0× 124 0.7× 111 0.7× 51 1.0k
Deborah Gascoyne‐Binzi 366 1.2× 330 1.3× 349 1.6× 167 1.0× 68 0.4× 25 890

Countries citing papers authored by Éric Garnotel

Since Specialization
Citations

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

Fields of papers citing papers by Éric Garnotel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Garnotel

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