Benoît Doublet

4.1k citations
53 papers · 3.0k · 1 hit paper · h-index 30

Impact in

Papers in

Benoît Doublet

52 papers receiving 2.9k citations

Benoît Doublet's Hit Papers

Molecular basis of bacterial resistance to chloramphenicol and florfenicol 2004 · 608 citations
6080+7+14Years since publication200400600

Peers

Benoît Doublet
Comparison fields: 5 of 93
  • Molecular Medicine 1.7k
  • Endocrinology 753
  • Food Science 1.5k
  • Pollution 542
  • Ecology 676
Replace Luke Randall with:
Luke Randall United Kingdom
Jason P. Folster United States
Jean M. Whichard United States
Katrin Zurfluh Switzerland
Pimlapas Leekitcharoenphon Denmark
Muna F. Anjum United Kingdom
Magdalena Nüesch‐Inderbinen Switzerland
Glenn E. Tillman United States
Valeria Bortolaia Denmark
Shenghui Cui China
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Doublet

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Doublet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular basis of bacterial resistance to chloramphenicol and florfenicol
Hit paper breakdown →
2004608
2 2011212
3 2005210
4 2006168
5 2003124
6 2010107
7 2008104
8 2007101
9 201991
10 200482
11 200875
12 200867
13 200858
14 200753
15 200452
16 200749
17 201048
18 201247
19 201645
20 200542

About Benoît Doublet

Benoît Doublet is a scholar working on Molecular Medicine, Food Science, Ecology, Endocrinology and Molecular Biology, having authored 53 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (39 papers), Salmonella and Campylobacter epidemiology (37 papers), Bacteriophages and microbial interactions (19 papers), Vibrio bacteria research studies (8 papers), Escherichia coli research studies (5 papers), Bacterial Genetics and Biotechnology (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Enterobacteriaceae and Cronobacter Research (3 papers). The work is most often cited by research in Molecular Medicine (1.7k citations), Endocrinology (753 citations), Food Science (1.5k citations), Pollution (542 citations) and Ecology (676 citations). Benoît Doublet has collaborated with scholars based in France, Canada and Morocco. Frequent co-authors include Axel Cloeckaert, Štefan Schwarz, Corinna Kehrenberg, David A. Boyd, Karine Praud, François‐Xavier Weill, Michael R. Mulvey, Danièle Meunier, Adam B. Olson and Simon Le Hello. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology, Journal of Antimicrobial Chemotherapy, Microbial Genomics 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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