Donovan H. Parks

147 total papers · 68.9k total citations
66 papers, 43.6k citations indexed

About

Donovan H. Parks is a scholar working on Molecular Biology, Ecology and Food Science. According to data from OpenAlex, Donovan H. Parks has authored 66 papers receiving a total of 43.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 41 papers in Ecology and 11 papers in Food Science. Recurrent topics in Donovan H. Parks's work include Genomics and Phylogenetic Studies (42 papers), Microbial Community Ecology and Physiology (38 papers) and Gut microbiota and health (13 papers). Donovan H. Parks is often cited by papers focused on Genomics and Phylogenetic Studies (42 papers), Microbial Community Ecology and Physiology (38 papers) and Gut microbiota and health (13 papers). Donovan H. Parks collaborates with scholars based in Australia, United States and Canada. Donovan H. Parks's co-authors include Philip Hugenholtz, Gene W. Tyson, Pierre-Alain Chaumeil, Michael Imelfort, Connor T. Skennerton, Aaron J. Mussig, Robert G. Beiko, Courtney J. Robinson, Patrick D. Schloss and Jason W. Sahl and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Donovan H. Parks

65 papers receiving 43.2k citations

Hit Papers

Introducing mothur: Open-... 2009 2026 2014 2020 2009 2015 2014 2019 2018 5.0k 10.0k 15.0k
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
    2009 16.8k citations Patrick D. Schloss, Sarah L. Westcott et al. Applied and Environmental Microbiology profile →
  2. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes
    2015 7.4k citations Donovan H. Parks, Michael Imelfort et al. Genome Research profile →
  3. STAMP: statistical analysis of taxonomic and functional profiles
    2014 3.3k citations Donovan H. Parks, Gene W. Tyson et al. Bioinformatics profile →
  4. GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database
    2019 3.1k citations Pierre-Alain Chaumeil, Aaron J. Mussig et al. Bioinformatics profile →
  5. A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life
    2018 2.2k citations Donovan H. Parks, Maria Chuvochina et al. Nature Biotechnology profile →
  6. Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life
    2017 1.1k citations Donovan H. Parks, Christian Rinke et al. Nature Microbiology profile →
  7. GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy
    2021 1.1k citations Donovan H. Parks, Maria Chuvochina et al. Nucleic Acids Research profile →
  8. A complete domain-to-species taxonomy for Bacteria and Archaea
    2020 847 citations Donovan H. Parks, Maria Chuvochina et al. Nature Biotechnology profile →
  9. Identifying biologically relevant differences between metagenomic communities
    2010 790 citations Donovan H. Parks, Robert G. Beiko Bioinformatics profile →
  10. GTDB-Tk v2: memory friendly classification with the genome taxonomy database
    2022 739 citations Pierre-Alain Chaumeil, Aaron J. Mussig et al. Bioinformatics profile →
  11. A unified catalog of 204,938 reference genomes from the human gut microbiome
    2020 718 citations Alexandre Almeida, Stephen Nayfach et al. Nature Biotechnology profile →
  12. Methane metabolism in the archaeal phylum Bathyarchaeota revealed by genome-centric metagenomics
    2015 542 citations Paul N. Evans, Donovan H. Parks et al. Science profile →
  13. CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning
    2023 424 citations Alex Chklovski, Donovan H. Parks et al. Nature Methods profile →
  14. An evolving view of methane metabolism in the Archaea
    2019 397 citations Paul N. Evans, Joel A. Boyd et al. Nature Reviews Microbiology profile →
  15. Methylotrophic methanogenesis discovered in the archaeal phylum Verstraetearchaeota
    2016 362 citations Inka Vanwonterghem, Paul N. Evans et al. Nature Microbiology profile →
  16. Proposal to reclassify the proteobacterial classes Deltaproteobacteria and Oligoflexia, and the phylum Thermodesulfobacteria into four phyla reflecting major functional capabilities
    2020 346 citations David W. Waite, Maria Chuvochina et al. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY profile →
  17. A standardized archaeal taxonomy for the Genome Taxonomy Database
    2021 273 citations Christian Rinke, Maria Chuvochina et al. Nature Microbiology profile →
  18. SeqCode: a nomenclatural code for prokaryotes described from sequence data
    2022 116 citations Brian P. Hedlund, Maria Chuvochina et al. Nature Microbiology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Donovan H. Parks 23.3k 19.6k 5.5k 5.3k 5.3k 66 43.6k
Jörg Peplies 21.7k 0.9× 17.3k 0.9× 4.2k 0.8× 5.8k 1.1× 4.2k 0.8× 39 43.9k
J. Gregory Caporaso 27.9k 1.2× 18.4k 0.9× 3.5k 0.6× 7.7k 1.5× 5.2k 1.0× 123 56.9k
James R. Cole 16.2k 0.7× 12.9k 0.7× 2.7k 0.5× 4.7k 0.9× 5.9k 1.1× 98 35.6k
Frank Oliver Glöckner 28.0k 1.2× 25.1k 1.3× 6.1k 1.1× 7.7k 1.4× 5.5k 1.0× 158 56.4k
Christian Quast 17.8k 0.8× 15.0k 0.8× 3.6k 0.7× 4.9k 0.9× 3.8k 0.7× 22 38.1k
Patrick D. Schloss 22.5k 1.0× 14.0k 0.7× 3.1k 0.6× 4.6k 0.9× 4.0k 0.8× 201 43.9k
Christopher Quince 17.0k 0.7× 13.9k 0.7× 2.3k 0.4× 4.8k 0.9× 3.3k 0.6× 111 34.1k
Pelin Yilmaz 13.5k 0.6× 11.2k 0.6× 2.7k 0.5× 3.9k 0.7× 2.8k 0.5× 40 28.6k
Paul J. McMurdie 19.7k 0.8× 12.7k 0.6× 2.3k 0.4× 6.2k 1.2× 3.3k 0.6× 22 41.8k
Susan Holmes 23.6k 1.0× 13.6k 0.7× 2.4k 0.4× 6.7k 1.3× 3.3k 0.6× 189 52.1k

Countries citing papers authored by Donovan H. Parks

Since Specialization
Citations

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

Fields of papers citing papers by Donovan H. Parks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donovan H. Parks. 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 Donovan H. Parks. The network helps show where Donovan H. Parks may publish in the future.

Co-authorship network of co-authors of Donovan H. Parks

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

All Works

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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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