Maxime Barbier
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Antimicrobial Resistance in Staphylococcus
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
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- Tuberculosis Research and Epidemiology 5
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- Mycobacterium research and diagnosis 3
- Co-authors
- Thierry Wirth (6 shared papers)Philip Supply (4 shared papers)Jean‐Philippe Rasigade (4 shared papers)Silke Feuerriegel (2 shared papers)Thomas A. Kohl (2 shared papers)Matthias Merker (2 shared papers)Vladyslav Nikolayevskyy (2 shared papers)Sönke Andres (2 shared papers)
- Journals
- Scientific Reports (2 papers)Marine Mammal Science (1 paper)Frontiers in Veterinary Science (1 paper)mBio (1 paper)Nature Communications (1 paper)
- Partner nations
- FranceUnited KingdomSouth Africa
In The Last Decade
Maxime Barbier
10 papers receiving 261 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 209
- Clinical Biochemistry 36
- Molecular Medicine 25
- Epidemiology 145
- Applied Microbiology and Biotechnology 6
Countries citing papers authored by Maxime Barbier
This map shows the geographic impact of Maxime Barbier'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 Maxime Barbier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Barbier more than expected).
Fields of papers citing papers by Maxime Barbier
This network shows the impact of papers produced by Maxime Barbier. 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 Maxime Barbier. The network helps show where Maxime Barbier may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Barbier, 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 | 2018 | 85 | |
| 2 | 2016 | 74 | |
| 3 | 2022 | 38 | |
| 4 | 2016 | 31 | |
| 5 | 2017 | 10 | |
| 6 | 2018 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 4 | |
| 10 | 2023 | 2 |
About Maxime Barbier
Maxime Barbier is a scholar working on Infectious Diseases, Epidemiology, Genetics, Surgery and Agronomy and Crop Science, having authored 10 papers that have together received 265 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (3 papers), Genetic and phenotypic traits in livestock (2 papers), Reproductive Physiology in Livestock (2 papers), Infectious Diseases and Tuberculosis (2 papers), Cephalopods and Marine Biology (1 paper), Rabies epidemiology and control (1 paper) and Ruminant Nutrition and Digestive Physiology (1 paper). The work is most often cited by research in Infectious Diseases (209 citations), Clinical Biochemistry (36 citations), Molecular Medicine (25 citations), Epidemiology (145 citations) and Applied Microbiology and Biotechnology (6 citations). Maxime Barbier has collaborated with scholars based in France, United Kingdom and South Africa. Frequent co-authors include Thierry Wirth, Philip Supply, Jean‐Philippe Rasigade, Silke Feuerriegel, Thomas A. Kohl, Matthias Merker, Vladyslav Nikolayevskyy, Sönke Andres, Stefan Niemann and Roland Diel. Their work appears in journals such as Scientific Reports, Marine Mammal Science, Frontiers in Veterinary Science, mBio and Nature Communications.
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.