Mathieu Groussin
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
- Aging 1
-
- Evolution and Paleontology Studies 3
- Co-authors
- Eric J. AlmFlorent MazelManolo GouyMathilde PoyetShijie ZhaoWilfried ThuillerSébastien LavergneChristopher S. Smillie
- Journals
- Molecular Biology and Evolution (6 papers)Scientific Reports (3 papers)Nature Communications (3 papers)Cell Host & Microbe (2 papers)mSystems (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Mathieu Groussin
30 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Medicine 252
- Pollution 453
- Applied Microbiology and Biotechnology 42
- Ecology 520
- Molecular Biology 1.2k
Countries citing papers authored by Mathieu Groussin
This map shows the geographic impact of Mathieu Groussin'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 Mathieu Groussin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Groussin more than expected).
Fields of papers citing papers by Mathieu Groussin
This network shows the impact of papers produced by Mathieu Groussin. 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 Mathieu Groussin. The network helps show where Mathieu Groussin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Groussin, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 14 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 14 | |
| 7 | An omics-based framework for assessing the health risk of antimicrobial resistance genes Hit paper breakdown → | 2021 | 569 |
| 8 | 2020 | 27 | |
| 9 | 2020 | 160 | |
| 10 | Adaptive Evolution within Gut Microbiomes of Healthy People Hit paper breakdown → | 2019 | 254 |
| 11 | Unraveling the processes shaping mammalian gut microbiomes over evolutionary time | 2017 | 3 |
| 12 | 2017 | 313 | |
| 13 | 2017 | 2 | |
| 14 | 2015 | 15 | |
| 15 | 2015 | 25 | |
| 16 | 2014 | 23 | |
| 17 | 2014 | 37 | |
| 18 | 2013 | 115 | |
| 19 | 2011 | 86 | |
| 20 | 2011 | 35 |
About Mathieu Groussin
Mathieu Groussin is a scholar working on Aging, Paleontology, Molecular Medicine, Molecular Biology and Ecology, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gut microbiota and health (15 papers), Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (5 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Probiotics and Fermented Foods (3 papers), Diet and metabolism studies (3 papers), Evolution and Genetic Dynamics (3 papers) and Evolution and Paleontology Studies (3 papers). The work is most often cited by research in Molecular Medicine (252 citations), Pollution (453 citations), Applied Microbiology and Biotechnology (42 citations), Ecology (520 citations) and Molecular Biology (1.2k citations). Mathieu Groussin has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Eric J. Alm, Florent Mazel, Manolo Gouy, Mathilde Poyet, Shijie Zhao, Wilfried Thuiller, Sébastien Lavergne, Christopher S. Smillie, Jon G. Sanders and Michael R. Gillings. Their work appears in journals such as Molecular Biology and Evolution, Scientific Reports, Nature Communications, Cell Host & Microbe and mSystems.
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.