Yves Pean
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Resistance in Bacteria 15
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- Antibiotic Use and Resistance 12
- Co-authors
- Rémy Gauzit (11 shared papers)Benoît Misset (3 shared papers)Frank Thomas (2 shared papers)Alain Lepape (3 shared papers)Marc Wysocki (2 shared papers)Jean‐François Timsit (1 shared paper)François Faurisson (1 shared paper)Hervé Mentec (1 shared paper)
- Journals
- Journal of Antimicrobial Chemotherapy (6 papers)Annals of Intensive Care (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Médecine et Maladies Infectieuses (13 papers)mBio (1 paper)
- Partner nations
- FranceSwitzerlandMonaco
In The Last Decade
Yves Pean
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Applied Microbiology and Biotechnology 205
- Molecular Medicine 219
- Critical Care and Intensive Care Medicine 126
- Clinical Biochemistry 151
- Pharmacology 270
Countries citing papers authored by Yves Pean
This map shows the geographic impact of Yves Pean'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 Yves Pean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Pean more than expected).
Fields of papers citing papers by Yves Pean
This network shows the impact of papers produced by Yves Pean. 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 Yves Pean. The network helps show where Yves Pean may publish in the future.
Co-authors
The 25 scholars most cited alongside Yves Pean, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 317 | |
| 2 | 2009 | 162 | |
| 3 | 2013 | 87 | |
| 4 | 2008 | 72 | |
| 5 | 2015 | 63 | |
| 6 | 2012 | 58 | |
| 7 | 2017 | 57 | |
| 8 | 2013 | 53 | |
| 9 | 1993 | 52 | |
| 10 | 1995 | 42 | |
| 11 | 1995 | 33 | |
| 12 | 2018 | 25 | |
| 13 | 2015 | 23 | |
| 14 | 2001 | 18 | |
| 15 | 1999 | 17 | |
| 16 | 2015 | 16 | |
| 17 | 2000 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 1998 | 10 | |
| 20 | 2013 | 10 |
About Yves Pean
Yves Pean is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Epidemiology, Pharmacology and Microbiology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Antibiotic Use and Resistance (12 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Pneumonia and Respiratory Infections (7 papers), Urinary Tract Infections Management (6 papers), Bacterial Infections and Vaccines (4 papers), Neonatal and Maternal Infections (2 papers) and Nosocomial Infections in ICU (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (205 citations), Molecular Medicine (219 citations), Critical Care and Intensive Care Medicine (126 citations), Clinical Biochemistry (151 citations) and Pharmacology (270 citations). Yves Pean has collaborated with scholars based in France, Switzerland and Monaco. Frequent co-authors include Rémy Gauzit, Benoît Misset, Frank Thomas, Alain Lepape, Marc Wysocki, Jean‐François Timsit, François Faurisson, Hervé Mentec, Didier Dreyfuss and Alain Rauss. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Annals of Intensive Care, Antimicrobial Agents and Chemotherapy, Médecine et Maladies Infectieuses and mBio.
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.