Benoît Garin

2.9k citations
46 papers · 1.7k · h-index 24

Impact in

    • Antibiotic Resistance in Bacteria
    • Enterobacteriaceae and Cronobacter Research
    • Vibrio bacteria research studies
    • Escherichia coli research studies

Papers in

Benoît Garin

45 papers receiving 1.7k citations

Peers

Benoît Garin
Comparison fields: 5 of 100
  • Molecular Medicine 616
  • Endocrinology 314
  • Applied Microbiology and Biotechnology 86
  • Infectious Diseases 362
  • Virology 89
Replace Mikeljon P. Nikolich with:
Mikeljon P. Nikolich United States
María J. Pons Peru
John E. Corkill United Kingdom
I Casin France
Sara Droz Switzerland
Antoine Talarmin France
Philippe Bidet France
Peter Damborg Denmark
Daniel Asrat Ethiopia
Tak‐Lun Que China
Benoît Garin relative to Mikeljon P. Nikolich United States Mikeljon P. Nikolich's profile →
Citations per field
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Mikeljon P. Nikolich · 1×
Citations per year

Countries citing papers authored by Benoît Garin

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Garin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Garin, 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 Benoît Garin Line = papers co-authored together Benoît Garin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014375
2 200082
3 199778
4 201676
5 201562
6 201261
7 202055
8 200550
9 201550
10 200746
11 201544
12 200644
13 201242
14 201240
15 201239
16 201339
17 201838
18 201337
19 200935
20 199931

About Benoît Garin

Benoît Garin is a scholar working on Epidemiology, Molecular Medicine, Infectious Diseases, Endocrinology and Food Science, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Viral gastroenteritis research and epidemiology (8 papers), Salmonella and Campylobacter epidemiology (7 papers), Escherichia coli research studies (5 papers), Burkholderia infections and melioidosis (4 papers), Neonatal and Maternal Infections (4 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Molecular Medicine (616 citations), Endocrinology (314 citations), Applied Microbiology and Biotechnology (86 citations), Infectious Diseases (362 citations) and Virology (89 citations). Benoît Garin has collaborated with scholars based in France, Senegal and Madagascar. Frequent co-authors include Guillaume Arlet, Virginie Passet, Simon Le Hello, Sylvain Brisse, Alexis Criscuolo, Marie-Hélène Nicolas-Chanoine, Louis Jones, Suzanne Bialek-Davenet, Dominique Decré and Florent Ailloud. Their work appears in journals such as PLoS ONE, Emerging infectious diseases, BMC Infectious Diseases, American Journal of Tropical Medicine and Hygiene and BMC Microbiology.

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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