Robert G. Beiko
- Ecology top 0.2%
- Microbial Community Ecology and Physiology 25
- Biological Psychiatry top 1%
- Pollution top 0.5%
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies 60
- Gut microbiota and health 19
- RNA and protein synthesis mechanisms 15
- Machine Learning in Bioinformatics 9
- Bioinformatics and Genomic Networks 8
- Periodontics top 0.5%
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- Genetic diversity and population structure 21
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- Chromosomal and Genetic Variations 10
- Co-authors
- Donovan H. ParksGene W. TysonPhilip HugenholtzMorgan G. I. LangilleCurtis HuttenhowerJ. Gregory CaporasoJesse ZaneveldDeron E. Burkepile
- Journals
- Bioinformatics (8 papers)Genome Biology and Evolution (5 papers)Systematic Biology (4 papers)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Robert G. Beiko
104 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Ecology 4.2k
- Biological Psychiatry 379
- Pollution 1.7k
- Molecular Biology 9.4k
- Periodontics 494
Countries citing papers authored by Robert G. Beiko
This map shows the geographic impact of Robert G. Beiko'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 Robert G. Beiko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert G. Beiko more than expected).
Fields of papers citing papers by Robert G. Beiko
This network shows the impact of papers produced by Robert G. Beiko. 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 Robert G. Beiko. The network helps show where Robert G. Beiko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert G. Beiko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2020 | 82 | |
| 6 | 2019 | 28 | |
| 7 | 2017 | 108 | |
| 8 | 2013 | 146 | |
| 9 | 2013 | 22 | |
| 10 | 2012 | 91 | |
| 11 | 2012 | 22 | |
| 12 | 2012 | 5 | |
| 13 | 2011 | 52 | |
| 14 | Identifying biologically relevant differences between metagenomic communitiesbreakdown → | 2010 | 792 |
| 15 | 2009 | 101 | |
| 16 | 2009 | 161 | |
| 17 | A two-phase strategy for detecting recombination in nucleotide sequences | 2007 | 12 |
| 18 | 2005 | 372 | |
| 19 | 2005 | 16 | |
| 20 | 2003 | 27 |
About Robert G. Beiko
Robert G. Beiko is a scholar working on Ecology, Molecular Biology, Genetics, Molecular Medicine and Periodontics, having authored 107 papers that have together received 16.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (60 papers), Microbial Community Ecology and Physiology (25 papers), Genetic diversity and population structure (21 papers), Gut microbiota and health (19 papers), RNA and protein synthesis mechanisms (15 papers), Chromosomal and Genetic Variations (10 papers), Machine Learning in Bioinformatics (9 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Ecology (4.2k citations), Biological Psychiatry (379 citations), Pollution (1.7k citations), Molecular Biology (9.4k citations) and Periodontics (494 citations). Robert G. Beiko has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Donovan H. Parks, Gene W. Tyson, Philip Hugenholtz, Morgan G. I. Langille, Curtis Huttenhower, J. Gregory Caporaso, Jesse Zaneveld, Deron E. Burkepile, Rob Knight and Daniel McDonald. Their work appears in journals such as Bioinformatics, Genome Biology and Evolution, Systematic Biology, BMC Bioinformatics and PLoS ONE.
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.