Clovis Galiez
Impact in
- Ecology top 5%
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
- Microbiology top 5%
- Microbial infections and disease research
Papers in
-
- Genomics and Phylogenetic Studies 9
- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 1
- Ecology 7
- Bacteriophages and microbial interactions 7
- Co-authors
- Johannes Söding (3 shared papers)Milot Mirdita (2 shared papers)María Martin (1 shared paper)Martin Steinegger (1 shared paper)François Enault (4 shared papers)Matthias Siebert (1 shared paper)Jonathan Vincent (1 shared paper)Julien Lossouarn (1 shared paper)
- Journals
- Bioinformatics (4 papers)NAR Genomics and Bioinformatics (1 paper)BMC Bioinformatics (1 paper)Nature Communications (1 paper)Methods in Ecology and Evolution (1 paper)
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
Clovis Galiez
10 papers receiving 927 citations
Clovis Galiez's Hit Papers
Peers
Comparison fields: 5 of 88
- Ecology 450
- Microbiology 84
- Molecular Biology 670
- Endocrinology 45
- Plant Science 141
Countries citing papers authored by Clovis Galiez
This map shows the geographic impact of Clovis Galiez'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 Clovis Galiez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clovis Galiez more than expected).
Fields of papers citing papers by Clovis Galiez
This network shows the impact of papers produced by Clovis Galiez. 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 Clovis Galiez. The network helps show where Clovis Galiez may publish in the future.
Co-authors
The 25 scholars most cited alongside Clovis Galiez, 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 | Uniclust databases of clustered and deeply annotated protein sequences and alignments Hit paper breakdown → | 2016 | 446 |
| 2 | PHROG: families of prokaryotic virus proteins clustered using remote homology Hit paper breakdown → | 2021 | 218 |
| 3 | 2017 | 168 | |
| 4 | 2021 | 56 | |
| 5 | 2022 | 14 | |
| 6 | 2016 | 12 | |
| 7 | 2021 | 9 | |
| 8 | 2023 | 6 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2015 | 0 |
About Clovis Galiez
Clovis Galiez is a scholar working on Molecular Biology, Ecology, Plant Science, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 931 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (7 papers), Machine Learning in Bioinformatics (3 papers), Plant Virus Research Studies (3 papers), Species Distribution and Climate Change (1 paper), Plant and animal studies (1 paper), Animal Virus Infections Studies (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Ecology (450 citations), Microbiology (84 citations), Molecular Biology (670 citations), Endocrinology (45 citations) and Plant Science (141 citations). Clovis Galiez has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Johannes Söding, Milot Mirdita, María Martin, Martin Steinegger, François Enault, Matthias Siebert, Jonathan Vincent, Julien Lossouarn, Robin Mom and Marie‐Agnès Petit. Their work appears in journals such as Bioinformatics, NAR Genomics and Bioinformatics, BMC Bioinformatics, Nature Communications and Methods in Ecology and Evolution.
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.