Quentin Caudron
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
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- COVID-19 epidemiological studies 3
- Co-authors
- Bryan T. GrenfellSimon A. LevinRamanan LaxminarayanThomas P. Van BoeckelSumanth GandraAshvin AshokAntoine NicotRomain Pigeault
- Journals
- PLoS Computational Biology (1 paper)Frontiers in Immunology (1 paper)Science Advances (1 paper)Multimedia Tools and Applications (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Quentin Caudron
10 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Applied Microbiology and Biotechnology 665
- Molecular Medicine 497
- Pollution 523
- Geriatrics and Gerontology 69
- Pharmacology 263
Countries citing papers authored by Quentin Caudron
This map shows the geographic impact of Quentin Caudron'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 Quentin Caudron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quentin Caudron more than expected).
Fields of papers citing papers by Quentin Caudron
This network shows the impact of papers produced by Quentin Caudron. 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 Quentin Caudron. The network helps show where Quentin Caudron may publish in the future.
Co-authors
The 25 scholars most cited alongside Quentin Caudron, 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 | 2024 | 13 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 4 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 10 | |
| 6 | 2018 | 33 | |
| 7 | 2018 | 36 | |
| 8 | Global antibiotic consumption 2000 to 2010: an analysis of national pharmaceutical sales data Hit paper breakdown → | 2014 | 1700 |
| 9 | 2014 | 13 | |
| 10 | 2012 | 5 |
About Quentin Caudron
Quentin Caudron is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology, Sensory Systems, Molecular Medicine and Biophysics, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Neuroendocrine regulation and behavior (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Evolution and Genetic Dynamics (2 papers), Anomaly Detection Techniques and Applications (2 papers), Digital Media Forensic Detection (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (665 citations), Molecular Medicine (497 citations), Pollution (523 citations), Geriatrics and Gerontology (69 citations) and Pharmacology (263 citations). Quentin Caudron has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Bryan T. Grenfell, Simon A. Levin, Ramanan Laxminarayan, Thomas P. Van Boeckel, Sumanth Gandra, Ashvin Ashok, Antoine Nicot, Romain Pigeault, Sylvain Gandon and Ana Rivero. Their work appears in journals such as PLoS Computational Biology, Frontiers in Immunology, Science Advances, Multimedia Tools and Applications and Journal of The Royal Society Interface.
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.