Ross Overbeek

235 total papers · 46.8k total citations
116 papers, 18.1k citations indexed

About

Ross Overbeek is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Ross Overbeek has authored 116 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 24 papers in Artificial Intelligence and 14 papers in Genetics. Recurrent topics in Ross Overbeek's work include Genomics and Phylogenetic Studies (50 papers), RNA and protein synthesis mechanisms (26 papers) and Microbial Metabolic Engineering and Bioproduction (20 papers). Ross Overbeek is often cited by papers focused on Genomics and Phylogenetic Studies (50 papers), RNA and protein synthesis mechanisms (26 papers) and Microbial Metabolic Engineering and Bioproduction (20 papers). Ross Overbeek collaborates with scholars based in United States, Portugal and Russia. Ross Overbeek's co-authors include Gordon D. Pusch, Gary J. Olsen, G J Olsen, Veronika Vonstein, Rick Stevens, Robert Olson, Terry Disz, Robert A. Edwards, Fangfang Xia and B. Maidak and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Ross Overbeek

111 papers receiving 17.5k citations

Hit Papers

The SEED and the Rapid An... 1994 2026 2004 2015 2013 2015 1997 2005 1999 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 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. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST)
    2013 3.5k citations Ross Overbeek, Robert Olson et al. Nucleic Acids Research profile →
  2. RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes
    2015 2.0k citations Thomas Brettin, James J. Davis et al. Scientific Reports profile →
  3. The RDP (Ribosomal Database Project)
    1997 1.8k citations B. Maidak, N. Larsen et al. Nucleic Acids Research profile →
  4. The Subsystems Approach to Genome Annotation and its Use in the Project to Annotate 1000 Genomes
    2005 1.5k citations Ross Overbeek Nucleic Acids Research profile →
  5. The use of gene clusters to infer functional coupling
    1999 944 citations Ross Overbeek, Michael Fonstein et al. Proceedings of the National Academy of Sciences profile →
  6. fastDNAml: a tool for construction of phylogenetic trees of DNA sequences using maximum likelihood
    1994 926 citations Gary J. Olsen, Hideo Matsuda et al. Computer applications in the biosciences profile →
  7. The complete genome of the hyperthermophilic bacterium Aquifex aeolicus
    1998 918 citations Patrick V. Warren, Terry Gaasterland et al. Nature profile →
  8. A new version of the RDP (Ribosomal Database Project)
    1999 839 citations B. Maidak, James R. Cole et al. Nucleic Acids Research profile →
  9. The winds of (evolutionary) change: breathing new life into microbiology
    1994 728 citations G J Olsen, Carl R. Woese et al. Journal of Bacteriology profile →

Author Peers

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

Author Last Decade Papers Cites
Ross Overbeek 11.7k 5.9k 2.3k 1.8k 1.4k 116 18.1k
Morgan N. Price 11.7k 1.0× 6.0k 1.0× 3.3k 1.4× 2.3k 1.3× 1.7k 1.3× 96 21.8k
Weizhong Li 16.7k 1.4× 5.5k 0.9× 3.6k 1.5× 2.3k 1.3× 1.2k 0.9× 129 25.5k
Alla Lapidus 7.1k 0.6× 4.0k 0.7× 2.2k 1.0× 1.0k 0.6× 952 0.7× 151 12.7k
Sofia K. Forslund 16.8k 1.4× 3.5k 0.6× 4.0k 1.7× 2.7k 1.5× 1.2k 0.9× 97 25.3k
Miriam Land 8.7k 0.7× 6.4k 1.1× 2.3k 1.0× 797 0.5× 1.0k 0.8× 108 15.2k
Sergey Nikolenko 10.3k 0.9× 5.4k 0.9× 3.7k 1.6× 1.5k 0.9× 2.2k 1.6× 121 20.9k
David W. Ussery 8.8k 0.7× 3.8k 0.6× 2.0k 0.9× 1.7k 1.0× 2.3k 1.7× 177 14.2k
Mark Borodovsky 9.5k 0.8× 3.6k 0.6× 3.7k 1.6× 1.7k 1.0× 1.1k 0.8× 93 16.1k
James Ostell 11.1k 0.9× 3.9k 0.7× 3.0k 1.3× 2.1k 1.2× 1.1k 0.8× 36 19.7k
Ashlee M. Earl 10.4k 0.9× 3.2k 0.5× 2.7k 1.2× 2.0k 1.2× 1.7k 1.3× 110 17.7k

Countries citing papers authored by Ross Overbeek

Since Specialization
Citations

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

Fields of papers citing papers by Ross Overbeek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross Overbeek. 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 Ross Overbeek. The network helps show where Ross Overbeek may publish in the future.

Co-authorship network of co-authors of Ross Overbeek

This figure shows the co-authorship network connecting the top 25 collaborators of Ross Overbeek. A scholar is included among the top collaborators of Ross Overbeek 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 Ross Overbeek. Ross Overbeek 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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