Pierre-Alain Chaumeil

17.9k total citations · 7 hit papers
14 papers, 10.0k citations indexed

About

Pierre-Alain Chaumeil is a scholar working on Molecular Biology, Ecology and Food Science. According to data from OpenAlex, Pierre-Alain Chaumeil has authored 14 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Ecology and 5 papers in Food Science. Recurrent topics in Pierre-Alain Chaumeil's work include Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (7 papers) and Probiotics and Fermented Foods (5 papers). Pierre-Alain Chaumeil is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (7 papers) and Probiotics and Fermented Foods (5 papers). Pierre-Alain Chaumeil collaborates with scholars based in Australia, Japan and Austria. Pierre-Alain Chaumeil's co-authors include Donovan H. Parks, Philip Hugenholtz, Aaron J. Mussig, Christian Rinke, Maria Chuvochina, David W. Waite, Adam Skarshewski, Ben J. Woodcroft, Gene W. Tyson and Paul N. Evans and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Pierre-Alain Chaumeil

14 papers receiving 9.9k citations

Hit Papers

GTDB-Tk: a toolkit to cla... 2017 2026 2020 2023 2019 2018 2021 2017 2020 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre-Alain Chaumeil Australia 11 6.4k 5.3k 1.3k 1.3k 948 14 10.0k
Michael Imelfort Australia 17 5.7k 0.9× 4.6k 0.9× 1.7k 1.3× 1.3k 1.0× 1.3k 1.4× 20 9.8k
Christian Rinke Australia 32 5.4k 0.8× 4.8k 0.9× 1.2k 0.9× 896 0.7× 723 0.8× 53 8.4k
Connor T. Skennerton Australia 15 5.2k 0.8× 4.3k 0.8× 1.2k 0.9× 1.2k 0.9× 912 1.0× 18 8.5k
Doug Hyatt United States 8 5.3k 0.8× 4.1k 0.8× 817 0.6× 1.1k 0.9× 1.2k 1.3× 12 8.7k
Mircea Podar United States 49 5.0k 0.8× 4.1k 0.8× 820 0.6× 975 0.8× 1.1k 1.1× 130 10.6k
Maria Chuvochina Australia 20 4.7k 0.7× 3.9k 0.7× 1.0k 0.8× 730 0.6× 672 0.7× 50 7.2k
Ramūnas Stepanauskas United States 58 5.8k 0.9× 7.3k 1.4× 2.1k 1.6× 2.3k 1.8× 806 0.9× 128 12.1k
Philip LoCascio United States 6 5.1k 0.8× 3.9k 0.7× 741 0.6× 1.1k 0.9× 1.2k 1.3× 10 8.5k
Fabiano L. Thompson Brazil 65 5.6k 0.9× 6.2k 1.2× 692 0.5× 930 0.7× 1.1k 1.2× 319 15.4k
Patrick Chain United States 56 5.2k 0.8× 4.4k 0.8× 878 0.7× 2.1k 1.7× 1.9k 2.0× 225 11.5k

Countries citing papers authored by Pierre-Alain Chaumeil

Since Specialization
Citations

This map shows the geographic impact of Pierre-Alain Chaumeil'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 Pierre-Alain Chaumeil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre-Alain Chaumeil more than expected).

Fields of papers citing papers by Pierre-Alain Chaumeil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre-Alain Chaumeil. 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 Pierre-Alain Chaumeil. The network helps show where Pierre-Alain Chaumeil may publish in the future.

Co-authorship network of co-authors of Pierre-Alain Chaumeil

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-Alain Chaumeil. A scholar is included among the top collaborators of Pierre-Alain Chaumeil 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 Pierre-Alain Chaumeil. Pierre-Alain Chaumeil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Parks, Donovan H., Pierre-Alain Chaumeil, Aaron J. Mussig, et al.. (2025). GTDB release 10: a complete and systematic taxonomy for 715 230 bacterial and 17 245 archaeal genomes. Nucleic Acids Research. 54(D1). D743–D754. 2 indexed citations
2.
Mussig, Aaron J., Pierre-Alain Chaumeil, Maria Chuvochina, et al.. (2024). Putative genome contamination has minimal impact on the GTDB taxonomy. Microbial Genomics. 10(5). 3 indexed citations
3.
Chuvochina, Maria, Aaron J. Mussig, Pierre-Alain Chaumeil, et al.. (2023). Proposal of names for 329 higher rank taxa defined in the Genome Taxonomy Database under two prokaryotic codes. FEMS Microbiology Letters. 370. 42 indexed citations
4.
Chuvochina, Maria, Christian Rinke, Aaron J. Mussig, et al.. (2023). Genome Taxonomy Database and SeqCode: Microbial Taxonomy and Nomenclature in the Age of Big Sequence Data. Biodiversity Information Science and Standards. 7. 3 indexed citations
5.
Chaumeil, Pierre-Alain, Aaron J. Mussig, Philip Hugenholtz, & Donovan H. Parks. (2022). GTDB-Tk v2: memory friendly classification with the genome taxonomy database. Bioinformatics. 38(23). 5315–5316. 787 indexed citations breakdown →
6.
Rinke, Christian, Maria Chuvochina, Aaron J. Mussig, et al.. (2021). A standardized archaeal taxonomy for the Genome Taxonomy Database. Nature Microbiology. 6(7). 946–959. 281 indexed citations breakdown →
7.
Parks, Donovan H., Maria Chuvochina, Christian Rinke, et al.. (2021). GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. Nucleic Acids Research. 50(D1). D785–D794. 1178 indexed citations breakdown →
8.
Parks, Donovan H., Maria Chuvochina, Pierre-Alain Chaumeil, et al.. (2020). A complete domain-to-species taxonomy for Bacteria and Archaea. Nature Biotechnology. 38(9). 1079–1086. 858 indexed citations breakdown →
9.
Low, Soo Jen, Mária Džunková, Pierre-Alain Chaumeil, Donovan H. Parks, & Philip Hugenholtz. (2019). Evaluation of a concatenated protein phylogeny for classification of tailed double-stranded DNA viruses belonging to the order Caudovirales. Nature Microbiology. 4(8). 1306–1315. 68 indexed citations
10.
Chaumeil, Pierre-Alain, Aaron J. Mussig, Philip Hugenholtz, & Donovan H. Parks. (2019). GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database. Bioinformatics. 36(6). 1925–1927. 3212 indexed citations breakdown →
11.
Parks, Donovan H., Maria Chuvochina, David W. Waite, et al.. (2018). A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nature Biotechnology. 36(10). 996–1004. 2190 indexed citations breakdown →
12.
Parks, Donovan H., Christian Rinke, Maria Chuvochina, et al.. (2017). Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life. Nature Microbiology. 2(11). 1533–1542. 1147 indexed citations breakdown →
13.
Pineda, Sandy S., Pierre-Alain Chaumeil, Quentin Kaas, et al.. (2017). ArachnoServer 3.0: an online resource for automated discovery, analysis and annotation of spider toxins. Bioinformatics. 34(6). 1074–1076. 85 indexed citations
14.
Herzig, Volker, David Wood, Felicity Newell, et al.. (2010). ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures. Nucleic Acids Research. 39(Database). D653–D657. 136 indexed citations

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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