Éric Chabrière
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Clinical Biochemistry top 0.5%
- Paraoxonase enzyme and polymorphisms
Papers in
-
- Bacterial biofilms and quorum sensing 19
-
- Paraoxonase enzyme and polymorphisms 17
- Co-authors
- Mikael Elias (48 shared papers)David Daudé (34 shared papers)Laure Plener (20 shared papers)Patrick Masson (19 shared papers)Benjamin Rémy (11 shared papers)Julien Hiblot (13 shared papers)Guillaume Gotthard (19 shared papers)Daniel Rochu (13 shared papers)
- Journals
- Scientific Reports (12 papers)PLoS ONE (8 papers)International Journal of Molecular Sciences (4 papers)Frontiers in Microbiology (4 papers)Journal of Chromatography B (3 papers)
- Partner nations
- FranceUnited StatesIsrael
In The Last Decade
Éric Chabrière
115 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 147
- Molecular Medicine 337
- Clinical Biochemistry 436
- Endocrinology 252
- Pollution 479
- Biochemistry 292
Countries citing papers authored by Éric Chabrière
This map shows the geographic impact of Éric Chabrière'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 Chabrière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Chabrière more than expected).
Fields of papers citing papers by Éric Chabrière
This network shows the impact of papers produced by Éric Chabrière. 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 Chabrière. The network helps show where Éric Chabrière may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Chabrière, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 222 | |
| 2 | 2012 | 173 | |
| 3 | 1999 | 160 | |
| 4 | 2008 | 141 | |
| 5 | 2016 | 137 | |
| 6 | 2001 | 134 | |
| 7 | 2006 | 112 | |
| 8 | 2017 | 110 | |
| 9 | 2016 | 86 | |
| 10 | 2006 | 86 | |
| 11 | 2012 | 84 | |
| 12 | 2013 | 81 | |
| 13 | 2014 | 79 | |
| 14 | 2016 | 71 | |
| 15 | 2012 | 66 | |
| 16 | 2006 | 64 | |
| 17 | 2015 | 61 | |
| 18 | 1999 | 60 | |
| 19 | 2009 | 56 | |
| 20 | 2020 | 48 |
About Éric Chabrière
Éric Chabrière is a scholar working on Molecular Biology, Clinical Biochemistry, Plant Science, Genetics and Biochemistry, having authored 118 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (19 papers), Paraoxonase enzyme and polymorphisms (17 papers), Pesticide and Herbicide Environmental Studies (15 papers), Antibiotic Resistance in Bacteria (14 papers), Bacterial Genetics and Biotechnology (13 papers), Environmental Toxicology and Ecotoxicology (13 papers), Biochemical Acid Research Studies (13 papers) and Pesticide Exposure and Toxicity (10 papers). The work is most often cited by research in Molecular Medicine (337 citations), Clinical Biochemistry (436 citations), Endocrinology (252 citations), Pollution (479 citations) and Biochemistry (292 citations). Éric Chabrière has collaborated with scholars based in France, United States and Israel. Frequent co-authors include Mikael Elias, David Daudé, Laure Plener, Patrick Masson, Benjamin Rémy, Julien Hiblot, Guillaume Gotthard, Daniel Rochu, Pauline Jacquet and Didier Raoult. Their work appears in journals such as Scientific Reports, PLoS ONE, International Journal of Molecular Sciences, Frontiers in Microbiology and Journal of Chromatography B.
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.