Éric Faudry
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 10
- Lipid Membrane Structure and Behavior 4
- Genetics 15
- Bacterial Genetics and Biotechnology 12
- Yersinia bacterium, plague, ectoparasites research 7
- Co-authors
- Ina Attrée (26 shared papers)Andréa Dessen (9 shared papers)Sylvie Elsen (7 shared papers)Jacqueline Chabert (2 shared papers)Viviana Job (4 shared papers)Stéphanie Bouillot (6 shared papers)Philippe Huber (5 shared papers)Thierry Izoré (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Molecular Biology (3 papers)PLoS Pathogens (3 papers)Biophysical Journal (2 papers)eLife (2 papers)
- Partner nations
- FranceBrazilUnited States
In The Last Decade
Éric Faudry
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Endocrinology 380
- Molecular Medicine 271
- Genetics 357
- Microbiology 64
- Molecular Biology 521
Countries citing papers authored by Éric Faudry
This map shows the geographic impact of Éric Faudry'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 Faudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Faudry more than expected).
Fields of papers citing papers by Éric Faudry
This network shows the impact of papers produced by Éric Faudry. 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 Faudry. The network helps show where Éric Faudry may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Faudry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 137 | |
| 2 | 2010 | 107 | |
| 3 | 2005 | 71 | |
| 4 | 2004 | 64 | |
| 5 | 2014 | 59 | |
| 6 | 2006 | 56 | |
| 7 | 2017 | 55 | |
| 8 | 2009 | 49 | |
| 9 | 2017 | 40 | |
| 10 | 2017 | 38 | |
| 11 | 2007 | 38 | |
| 12 | 2019 | 36 | |
| 13 | 2011 | 36 | |
| 14 | 2016 | 34 | |
| 15 | 2017 | 32 | |
| 16 | 2016 | 31 | |
| 17 | 2012 | 25 | |
| 18 | 2021 | 20 | |
| 19 | 2011 | 19 | |
| 20 | 2006 | 19 |
About Éric Faudry
Éric Faudry is a scholar working on Molecular Biology, Genetics, Endocrinology, Molecular Medicine and Ecology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Vibrio bacteria research studies (10 papers), Bacterial biofilms and quorum sensing (10 papers), Antibiotic Resistance in Bacteria (9 papers), Yersinia bacterium, plague, ectoparasites research (7 papers), Bacteriophages and microbial interactions (6 papers), Lipid Membrane Structure and Behavior (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Endocrinology (380 citations), Molecular Medicine (271 citations), Genetics (357 citations), Microbiology (64 citations) and Molecular Biology (521 citations). Éric Faudry has collaborated with scholars based in France, Brazil and United States. Frequent co-authors include Ina Attrée, Andréa Dessen, Sylvie Elsen, Jacqueline Chabert, Viviana Job, Stéphanie Bouillot, Philippe Huber, Thierry Izoré, Guillaume Golovkine and Christine Ebel. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, PLoS Pathogens, Biophysical Journal and eLife.
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.