Mathilde Poyet
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Gut microbiota and health 8
-
- Clostridium difficile and Clostridium perfringens research 4
- Co-authors
- Eric J. Alm (7 shared papers)Mathieu Groussin (6 shared papers)Katya Moniz (2 shared papers)William P. Hanage (2 shared papers)Shijie Zhao (2 shared papers)Kathryn M. Kauffman (2 shared papers)Ramnik J. Xavier (2 shared papers)Chengzhen L. Dai (1 shared paper)
- Journals
- Nature Communications (2 papers)mSystems (2 papers)Scientific Reports (1 paper)The ISME Journal (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Mathilde Poyet
12 papers receiving 1.6k citations
Mathilde Poyet's Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Medicine 257
- Pollution 450
- Infectious Diseases 715
- Applied Microbiology and Biotechnology 43
- General Dentistry 21
Countries citing papers authored by Mathilde Poyet
This map shows the geographic impact of Mathilde Poyet'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 Mathilde Poyet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Poyet more than expected).
Fields of papers citing papers by Mathilde Poyet
This network shows the impact of papers produced by Mathilde Poyet. 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 Mathilde Poyet. The network helps show where Mathilde Poyet may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathilde Poyet, 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 | SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases Hit paper breakdown → | 2020 | 593 |
| 2 | An omics-based framework for assessing the health risk of antimicrobial resistance genes Hit paper breakdown → | 2021 | 569 |
| 3 | Adaptive Evolution within Gut Microbiomes of Healthy People Hit paper breakdown → | 2019 | 254 |
| 4 | 2019 | 87 | |
| 5 | 2018 | 36 | |
| 6 | 2017 | 20 | |
| 7 | 2022 | 14 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 14 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 1 |
About Mathilde Poyet
Mathilde Poyet is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Physiology and Immunology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Diet and metabolism studies (2 papers), Microbial Community Ecology and Physiology (2 papers), Insect and Pesticide Research (1 paper), COVID-19 diagnosis using AI (1 paper), Food Security and Health in Diverse Populations (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Molecular Medicine (257 citations), Pollution (450 citations), Infectious Diseases (715 citations), Applied Microbiology and Biotechnology (43 citations) and General Dentistry (21 citations). Mathilde Poyet has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Eric J. Alm, Mathieu Groussin, Katya Moniz, William P. Hanage, Shijie Zhao, Kathryn M. Kauffman, Ramnik J. Xavier, Chengzhen L. Dai, James M. Tiedje and Mark C.M. van Loosdrecht. Their work appears in journals such as Nature Communications, mSystems, Scientific Reports, The ISME Journal and Cell Host & Microbe.
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.