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 8
- Gene expression and cancer classification 2
- Metabolomics and Mass Spectrometry Studies 1
- Molecular Biology Techniques and Applications 1
- Gut microbiota and health 1
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- Algorithms and Data Compression 3
- Co-authors
- Claire Lemaitre (5 shared papers)Dominique D. Lavenier (4 shared papers)Erwan Drézen (2 shared papers)Pierre Peterlongo (3 shared papers)Robert S James (2 shared papers)Mahendra Mariadassou (2 shared papers)Rayan Chikhi (2 shared papers)Christopher Quince (2 shared papers)
- Journals
- PeerJ Computer Science (1 paper)Nature Communications (1 paper)BMC Bioinformatics (1 paper)Nature Biotechnology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomFranceAustria
In The Last Decade
Gaëtan Benoit
8 papers receiving 222 citations
Gaëtan Benoit's Hit Papers
Peers
Comparison fields: 5 of 50
- Ecology 57
- Molecular Biology 134
- Artificial Intelligence 46
- 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 15 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 | High-quality metagenome assembly from long accurate reads with metaMDBG Hit paper breakdown → | 2024 | 72 |
| 2 | 2016 | 71 | |
| 3 | 2015 | 68 | |
| 4 | 2019 | 9 | |
| 5 | 2015 | 4 | |
| 6 | Bloocoo, a memory efficient read corrector | 2014 | 2 |
| 7 | 2026 | 1 | |
| 8 | Simka: fast kmer-based method for estimating the similarity between numerous metagenomic datasets | 2015 | 1 |
About Gaëtan Benoit
Gaëtan Benoit is a scholar working on Molecular Biology, Artificial Intelligence, Ecology, Plant Science and Insect Science, having authored 8 papers that have together received 228 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Algorithms and Data Compression (3 papers), Gene expression and cancer classification (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper), Bacteriophages and microbial interactions (1 paper), Molecular Biology Techniques and Applications (1 paper), Gut microbiota and health (1 paper) and Plant Virus Research Studies (1 paper). The work is most often cited by research in Ecology (57 citations), Molecular Biology (134 citations), Artificial Intelligence (46 citations), Pollution (12 citations) and Molecular Medicine (5 citations). Gaëtan Benoit has collaborated with scholars based in United Kingdom, France and Austria. Frequent co-authors include Claire Lemaitre, Dominique D. Lavenier, Erwan Drézen, Pierre Peterlongo, Robert S James, Mahendra Mariadassou, Rayan Chikhi, Christopher Quince, Sophie Schbath and Adam M. Phillippy. Their work appears in journals such as PeerJ Computer Science, Nature Communications, BMC Bioinformatics, Nature Biotechnology 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.