Gilles Prévost
Impact in
- Clinical Biochemistry top 0.1%
- Bacterial Identification and Susceptibility Testing
- Infectious Diseases top 0.2%
- Antimicrobial Resistance in Staphylococcus
- Clostridium difficile and Clostridium perfringens research
Papers in
-
- Bacterial Identification and Susceptibility Testing 30
-
- Antimicrobial Resistance in Staphylococcus 76
- Clostridium difficile and Clostridium perfringens research 15
- Co-authors
- H. MonteilY. PiémontDidier A. ColinStéphane BronnerGianfranco MenestrinaPierre CouppiéF. JehlB. Jaulhac
In The Last Decade
Gilles Prévost
146 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 138
- Clinical Biochemistry 1.6k
- Infectious Diseases 3.7k
- Endocrinology 611
- Microbiology 720
- Molecular Medicine 274
Countries citing papers authored by Gilles Prévost
This map shows the geographic impact of Gilles Prévost'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 Gilles Prévost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilles Prévost more than expected).
Fields of papers citing papers by Gilles Prévost
This network shows the impact of papers produced by Gilles Prévost. 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 Gilles Prévost. The network helps show where Gilles Prévost may publish in the future.
Co-authors
The 25 scholars most cited alongside Gilles Prévost, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 11 | |
| 2 | 2018 | 21 | |
| 3 | 2013 | 15 | |
| 4 | 2012 | 8 | |
| 5 | 2012 | 40 | |
| 6 | 2012 | 19 | |
| 7 | 2010 | 137 | |
| 8 | 2008 | 9 | |
| 9 | 2007 | 29 | |
| 10 | 2006 | 13 | |
| 11 | 2006 | 3 | |
| 12 | 2005 | 313 | |
| 13 | In vitro influence of staphylococcal leukocidins (LukE, LukD) on the activity of blood phagocytes in dogs | 2004 | 0 |
| 14 | In vitro effect of staphylococcal leukocidins [LukE, LukD] on the proliferative responses of blood lymphocytes in dog [Canis familiaris] | 2003 | 3 |
| 15 | 2002 | 27 | |
| 16 | 1998 | 72 | |
| 17 | 1997 | 75 | |
| 18 | 1997 | 27 | |
| 19 | 1995 | 134 | |
| 20 | 1993 | 25 |
About Gilles Prévost
Gilles Prévost is a scholar working on Clinical Biochemistry, Infectious Diseases, Endocrinology, Microbiology and Molecular Medicine, having authored 151 papers that have together received 6.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (76 papers), Bacterial Identification and Susceptibility Testing (30 papers), Bacterial biofilms and quorum sensing (25 papers), Clostridium difficile and Clostridium perfringens research (15 papers), Bacteriophages and microbial interactions (15 papers), Antimicrobial Peptides and Activities (13 papers), Nanopore and Nanochannel Transport Studies (13 papers) and Bacterial Genetics and Biotechnology (11 papers). The work is most often cited by research in Clinical Biochemistry (1.6k citations), Infectious Diseases (3.7k citations), Endocrinology (611 citations), Microbiology (720 citations) and Molecular Medicine (274 citations). Gilles Prévost has collaborated with scholars based in France, Benin and Germany. Frequent co-authors include H. Monteil, Y. Piémont, Didier A. Colin, Stéphane Bronner, Gianfranco Menestrina, Pierre Couppié, F. Jehl, B. Jaulhac, B. Cribier and P. Riegel. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Immunity, FEBS Letters, PLoS ONE and Journal of Medical 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.