Aaron J. Mussig

11.6k total citations · 5 hit papers
11 papers, 6.4k citations indexed

About

Aaron J. Mussig is a scholar working on Molecular Biology, Ecology and Food Science. According to data from OpenAlex, Aaron J. Mussig has authored 11 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Ecology and 5 papers in Food Science. Recurrent topics in Aaron J. Mussig's work include Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (7 papers) and Probiotics and Fermented Foods (5 papers). Aaron J. Mussig 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). Aaron J. Mussig collaborates with scholars based in Australia, Japan and Austria. Aaron J. Mussig's co-authors include Philip Hugenholtz, Pierre-Alain Chaumeil, Donovan H. Parks, Christian Rinke, Maria Chuvochina, David W. Waite, William B. Whitman, Adrián Davín, Adam Skarshewski and Caitlin M. Singleton and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Aaron J. Mussig

11 papers receiving 6.3k citations

Hit Papers

GTDB-Tk: a toolkit to classify genomes with the Genome Ta... 2019 2026 2021 2023 2019 2021 2020 2022 2021 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database
    2019 3.2k citations Pierre-Alain Chaumeil, Aaron J. Mussig et al. Bioinformatics profile →
  2. GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy
    2021 1.2k citations Donovan H. Parks, Maria Chuvochina et al. Nucleic Acids Research profile →
  3. A complete domain-to-species taxonomy for Bacteria and Archaea
    2020 858 citations Donovan H. Parks, Maria Chuvochina et al. Nature Biotechnology profile →
  4. GTDB-Tk v2: memory friendly classification with the genome taxonomy database
    2022 787 citations Pierre-Alain Chaumeil, Aaron J. Mussig et al. Bioinformatics profile →
  5. A standardized archaeal taxonomy for the Genome Taxonomy Database
    2021 281 citations Christian Rinke, Maria Chuvochina et al. Nature Microbiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron J. Mussig Australia 6 3.9k 3.4k 890 873 617 11 6.4k
Maria Chuvochina Australia 20 4.7k 1.2× 3.9k 1.2× 730 0.8× 1.0k 1.2× 672 1.1× 50 7.2k
Ulrich Nübel Germany 36 3.1k 0.8× 2.8k 0.8× 716 0.8× 1.2k 1.4× 488 0.8× 88 7.8k
Christian Rinke Australia 32 5.4k 1.4× 4.8k 1.4× 896 1.0× 1.2k 1.4× 723 1.2× 53 8.4k
Erick Cardenas United States 18 3.1k 0.8× 2.4k 0.7× 901 1.0× 543 0.6× 817 1.3× 28 6.4k
Connor T. Skennerton Australia 15 5.2k 1.3× 4.3k 1.3× 1.2k 1.3× 1.2k 1.4× 912 1.5× 18 8.5k
Luis M. Rodriguez‐R United States 32 4.6k 1.2× 3.7k 1.1× 830 0.9× 575 0.7× 1.3k 2.1× 77 8.0k
Ruth A. Schmitz Germany 47 3.9k 1.0× 2.4k 0.7× 693 0.8× 615 0.7× 548 0.9× 180 7.4k
Rob Egan United States 11 2.8k 0.7× 2.2k 0.6× 632 0.7× 581 0.7× 470 0.8× 17 4.6k
Irene Wagner‐Döbler Germany 54 4.0k 1.0× 3.3k 1.0× 969 1.1× 434 0.5× 413 0.7× 154 8.1k
Doug Hyatt United States 8 5.3k 1.3× 4.1k 1.2× 1.1k 1.2× 817 0.9× 1.2k 2.0× 12 8.7k

Countries citing papers authored by Aaron J. Mussig

Since Specialization
Citations

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

Fields of papers citing papers by Aaron J. Mussig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron J. Mussig. 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 Aaron J. Mussig. The network helps show where Aaron J. Mussig may publish in the future.

Co-authorship network of co-authors of Aaron J. Mussig

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

All Works

11 of 11 papers shown
1.
Sereika, Mantas, Aaron J. Mussig, Chenjing Jiang, et al.. (2025). Genome-resolved long-read sequencing expands known microbial diversity across terrestrial habitats. Nature Microbiology. 10(8). 2018–2030. 3 indexed citations
2.
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
3.
Singleton, Caitlin M., Mantas Sereika, Aaron J. Mussig, et al.. (2024). Proposal of Patescibacterium danicum gen. nov., sp. nov. in the ubiquitous bacterial phylum Patescibacteriota phyl. nov.. ISME Communications. 5(1). ycae147–ycae147. 4 indexed citations
4.
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
5.
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
6.
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
7.
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 →
8.
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 →
9.
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 →
10.
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 →
11.
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 →

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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