Gaëtan Benoit
Impact in
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- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Environmental DNA in Biodiversity Studies
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Gene expression and cancer classification
Papers in
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- Genomics and Phylogenetic Studies 7
- Gene expression and cancer classification 2
- Metabolomics and Mass Spectrometry Studies 1
- Gut microbiota and health 1
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- Algorithms and Data Compression 2
- Co-authors
- Claire Lemaitre (4 shared papers)Dominique Lavenier (2 shared papers)Erwan Drézen (2 shared papers)Adam M. Phillippy (1 shared paper)Sébastien Raguideau (2 shared papers)Robert James (2 shared papers)Pierre Peterlongo (3 shared papers)Mahendra Mariadassou (2 shared papers)
- Journals
- Nature Communications (1 paper)Nature Biotechnology (1 paper)PeerJ Computer Science (1 paper)BMC Bioinformatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- FranceUnited KingdomAustria
In The Last Decade
Gaëtan Benoit
6 papers receiving 196 citations
Gaëtan Benoit's Hit Papers
Peers
Comparison fields: 5 of 44
- Ecology 50
- Molecular Biology 115
- Artificial Intelligence 39
- Pollution 12
- Molecular Medicine 5
Countries citing papers authored by Gaëtan Benoit
This map shows the geographic impact of Gaëtan Benoit'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 Gaëtan Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëtan Benoit more than expected).
Fields of papers citing papers by Gaëtan Benoit
This network shows the impact of papers produced by Gaëtan Benoit. 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 Gaëtan Benoit. The network helps show where Gaëtan Benoit may publish in the future.
Co-authors
The 14 scholars most cited alongside Gaëtan Benoit, 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 | 2016 | 65 | |
| 2 | High-quality metagenome assembly from long accurate reads with metaMDBG Hit paper breakdown → | 2024 | 65 |
| 3 | 2015 | 56 | |
| 4 | 2019 | 9 | |
| 5 | Simka: fast kmer-based method for estimating the similarity between numerous metagenomic datasets | 2015 | 1 |
| 6 | 2026 | 1 | |
| 7 | 2015 | 0 |
About Gaëtan Benoit
Gaëtan Benoit is a scholar working on Molecular Biology, Artificial Intelligence, Ecology, Plant Science and Infectious Diseases, having authored 7 papers that have together received 197 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Algorithms and Data Compression (2 papers), Gene expression and cancer classification (2 papers), Bacteriophages and microbial interactions (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Plant Virus Research Studies (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Ecology (50 citations), Molecular Biology (115 citations), Artificial Intelligence (39 citations), Pollution (12 citations) and Molecular Medicine (5 citations). Gaëtan Benoit has collaborated with scholars based in France, United Kingdom and Austria. Frequent co-authors include Claire Lemaitre, Dominique Lavenier, Erwan Drézen, Adam M. Phillippy, Sébastien Raguideau, Robert James, Pierre Peterlongo, Mahendra Mariadassou, Rayan Chikhi and Christopher Quince. Their work appears in journals such as Nature Communications, Nature Biotechnology, PeerJ Computer Science, BMC Bioinformatics and Bioinformatics.
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.