Clovis Galiez

1.8k total citations · 2 hit papers
12 papers, 931 citations indexed

About

Clovis Galiez is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Clovis Galiez has authored 12 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Ecology and 3 papers in Plant Science. Recurrent topics in Clovis Galiez's work include Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (7 papers) and Machine Learning in Bioinformatics (3 papers). Clovis Galiez is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (7 papers) and Machine Learning in Bioinformatics (3 papers). Clovis Galiez collaborates with scholars based in France, Germany and Switzerland. Clovis Galiez's co-authors include Johannes Söding, Milot Mirdita, María Martin, Martin Steinegger, François Enault, Jonathan Vincent, Matthias Siebert, Éric Olo Ndela, Julien Lossouarn and Robin Mom and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Clovis Galiez

10 papers receiving 927 citations

Hit Papers

Uniclust databases of clustered and deeply annotated prot... 2016 2026 2019 2022 2016 2021 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Clovis Galiez France 7 670 450 141 92 84 12 931
Michel van Kempen Germany 2 664 1.0× 183 0.4× 110 0.8× 78 0.8× 22 0.3× 2 959
Charlotte Tumescheit United Kingdom 5 702 1.0× 196 0.4× 135 1.0× 79 0.9× 22 0.3× 5 1.1k
Jeong-Jae Lee South Korea 4 672 1.0× 183 0.4× 113 0.8× 78 0.8× 22 0.3× 17 996
Fabien Mareuil France 10 476 0.7× 136 0.3× 175 1.2× 69 0.8× 20 0.2× 14 863
Beatrice Cuche Switzerland 2 844 1.3× 118 0.3× 245 1.7× 42 0.5× 40 0.5× 2 1.2k
L. Steven Johnson United States 8 710 1.1× 158 0.4× 226 1.6× 66 0.7× 23 0.3× 8 1.1k
Anna G. Green United States 15 911 1.4× 123 0.3× 60 0.4× 140 1.5× 124 1.5× 21 1.2k
Michelle M. Meyer United States 24 1.4k 2.1× 226 0.5× 130 0.9× 66 0.7× 34 0.4× 51 1.6k
Jean-François Taly Spain 10 904 1.3× 125 0.3× 213 1.5× 132 1.4× 18 0.2× 12 1.4k
Yann Ponty France 15 1.4k 2.0× 221 0.5× 137 1.0× 40 0.4× 12 0.1× 54 1.6k

Countries citing papers authored by Clovis Galiez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Clovis Galiez

This figure shows the co-authorship network connecting the top 25 collaborators of Clovis Galiez. A scholar is included among the top collaborators of Clovis Galiez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clovis Galiez. Clovis Galiez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Galiez, Clovis, et al.. (2025). SPAED: harnessing AlphaFold output for accurate segmentation of phage endolysin domains. Bioinformatics. 41(10).
2.
Leprince, Audrey, et al.. (2025). Empathi: embedding-based phage protein annotation tool by hierarchical assignment. Nature Communications. 16(1). 9114–9114. 1 indexed citations
3.
Enault, François, et al.. (2025). EnVhogDB: an extended view of the viral protein families on Earth through a vast collection of HMM profiles. Peer Community Journal. 5. 1 indexed citations
4.
Poggiato, Giovanni, et al.. (2023). Predict first–assemble later versus assemble first–predict later: Revisiting the dilemma for functional biogeography. Methods in Ecology and Evolution. 14(10). 2680–2696. 6 indexed citations
5.
Gouttevin, Isabelle, et al.. (2022). Emulating the Adaptation of Wind Fields to Complex Terrain with Deep Learning. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 2(1). 14 indexed citations
6.
Mirdita, Milot, et al.. (2021). SpacePHARER: sensitive identification of phages from CRISPR spacers in prokaryotic hosts. Bioinformatics. 37(19). 3364–3366. 56 indexed citations
7.
Galiez, Clovis, et al.. (2021). NLP-MeTaxa: A Natural Language Processing Approach for Metagenomic Taxonomic Binning Based on Deep Learning. Current Bioinformatics. 16(7). 992–1003. 9 indexed citations
8.
Terzian, Paul, Éric Olo Ndela, Clovis Galiez, et al.. (2021). PHROG: families of prokaryotic virus proteins clustered using remote homology. NAR Genomics and Bioinformatics. 3(3). lqab067–lqab067. 218 indexed citations breakdown →
9.
Galiez, Clovis, Matthias Siebert, François Enault, Jonathan Vincent, & Johannes Söding. (2017). WIsH: who is the host? Predicting prokaryotic hosts from metagenomic phage contigs. Bioinformatics. 33(19). 3113–3114. 168 indexed citations
10.
Mirdita, Milot, et al.. (2016). Uniclust databases of clustered and deeply annotated protein sequences and alignments. Nucleic Acids Research. 45(D1). D170–D176. 446 indexed citations breakdown →
11.
Galiez, Clovis, Chr̀istophe Magnan, F Coste, & Pierre Baldi. (2016). VIRALpro: a tool to identify viral capsid and tail sequences. Bioinformatics. 32(9). 1405–1407. 12 indexed citations
12.
Galiez, Clovis & F Coste. (2015). Amplitude spectrum distance: measuring the global shape divergence of protein fragments. BMC Bioinformatics. 16(1). 256–256.

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.

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