Ross Overbeek
Impact in
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.2%
Papers in
-
- Genomics and Phylogenetic Studies 47
- Microbial Metabolic Engineering and Bioproduction 9
-
- Parallel Computing and Optimization Techniques 14
- Co-authors
- Gary J. Olsen (17 shared papers)Gordon D. Pusch (14 shared papers)Bonnie L. Maidak (4 shared papers)C R Woese (4 shared papers)Rick L. Stevens (18 shared papers)Veronika Vonstein (21 shared papers)Robert Olson (15 shared papers)Terry L. Disz (7 shared papers)
- Journals
- Nucleic Acids Research (16 papers)Journal of Bacteriology (7 papers)Journal of Automated Reasoning (7 papers)Proceedings of the National Academy of Sciences (7 papers)Nature (4 papers)
- Partner nations
- United StatesFrancePortugal
In The Last Decade
Ross Overbeek
153 papers receiving 40.6k citations
Ross Overbeek's Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Medicine 1.7k
- Endocrinology 889
- Ecology 3.9k
- Molecular Biology 9.7k
- Pollution 1.5k
Countries citing papers authored by Ross Overbeek
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
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-authors
The 25 scholars most cited alongside Ross Overbeek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The RAST Server: Rapid Annotations using Subsystems Technology Hit paper breakdown → | 2008 | 9776 |
| 2 | The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST) Hit paper breakdown → | 2013 | 3742 |
| 3 | RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes Hit paper breakdown → | 2015 | 2192 |
| 4 | The RDP (Ribosomal Database Project) Hit paper breakdown → | 1997 | 1873 |
| 5 | Complete Genome Sequence of the Methanogenic Archaeon, Methanococcus jannaschii Hit paper breakdown → | 1996 | 1854 |
| 6 | The Subsystems Approach to Genome Annotation and its Use in the Project to Annotate 1000 Genomes Hit paper breakdown → | 2005 | 1652 |
| 7 | Insights into social insects from the genome of the honeybee Apis mellifera Hit paper breakdown → | 2006 | 1562 |
| 8 | The ribosomal database project Hit paper breakdown → | 1993 | 1421 |
| 9 | Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center Hit paper breakdown → | 2016 | 1286 |
| 10 | The complete genome sequence of the hyperthermophilic, sulphate-reducing archaeon Archaeoglobus fulgidus Hit paper breakdown → | 1997 | 1223 |
| 11 | PATRIC, the bacterial bioinformatics database and analysis resource Hit paper breakdown → | 2013 | 1002 |
| 12 | The use of gene clusters to infer functional coupling Hit paper breakdown → | 1999 | 997 |
| 13 | fastDNAml: a tool for construction of phylogenetic trees of DNA sequences using maximum likelihood Hit paper breakdown → | 1994 | 964 |
| 14 | The complete genome of the hyperthermophilic bacterium Aquifex aeolicus Hit paper breakdown → | 1998 | 951 |
| 15 | 1999 | 828 | |
| 16 | The winds of (evolutionary) change: breathing new life into microbiology Hit paper breakdown → | 1994 | 769 |
| 17 | The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities Hit paper breakdown → | 2019 | 731 |
| 18 | 2003 | 707 | |
| 19 | 2003 | 607 | |
| 20 | The genome sequence of the facultative intracellular pathogen Brucella melitensis Hit paper breakdown → | 2001 | 462 |
About Ross Overbeek
Ross Overbeek is a scholar working on Molecular Biology, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Genetics, having authored 161 papers that have together received 41.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (47 papers), Logic, programming, and type systems (15 papers), Parallel Computing and Optimization Techniques (14 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Logic, Reasoning, and Knowledge (8 papers), Advanced Database Systems and Queries (4 papers), Computability, Logic, AI Algorithms (3 papers) and Probiotics and Fermented Foods (3 papers). The work is most often cited by research in Molecular Medicine (1.7k citations), Endocrinology (889 citations), Ecology (3.9k citations), Molecular Biology (9.7k citations) and Pollution (1.5k citations). Ross Overbeek has collaborated with scholars based in United States, France and Portugal. Frequent co-authors include Gary J. Olsen, Gordon D. Pusch, Bonnie L. Maidak, C R Woese, Rick L. Stevens, Veronika Vonstein, Robert Olson, Terry L. Disz, Robert Alan Edwards and Fangfang Xia. Their work appears in journals such as Nucleic Acids Research, Journal of Bacteriology, Journal of Automated Reasoning, Proceedings of the National Academy of Sciences and Nature.
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.