Robert G. Beiko

28.0k total citations · 5 hit papers
107 papers, 16.5k citations indexed

About

Robert G. Beiko is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Robert G. Beiko has authored 107 papers receiving a total of 16.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 38 papers in Ecology and 31 papers in Genetics. Recurrent topics in Robert G. Beiko's work include Genomics and Phylogenetic Studies (60 papers), Microbial Community Ecology and Physiology (25 papers) and Genetic diversity and population structure (21 papers). Robert G. Beiko is often cited by papers focused on Genomics and Phylogenetic Studies (60 papers), Microbial Community Ecology and Physiology (25 papers) and Genetic diversity and population structure (21 papers). Robert G. Beiko collaborates with scholars based in Canada, Australia and United States. Robert G. Beiko's co-authors include Donovan H. Parks, Philip Hugenholtz, Gene W. Tyson, Morgan G. I. Langille, Curtis Huttenhower, Rebecca L. Vega Thurber, Deron E. Burkepile, Jesse Zaneveld, José C. Clemente and J. Gregory Caporaso and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Robert G. Beiko

104 papers receiving 16.4k citations

Hit Papers

Predictive functional profiling of microbial communities ... 2010 2026 2015 2020 2013 2014 2010 2014 2018 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert G. Beiko Canada 40 9.4k 4.2k 1.9k 1.7k 1.6k 107 16.5k
Christian L. Lauber United States 25 8.8k 0.9× 4.7k 1.1× 2.1k 1.1× 2.0k 1.2× 1.4k 0.9× 33 17.9k
Lars Hestbjerg Hansen Denmark 64 9.1k 1.0× 3.8k 0.9× 1.6k 0.9× 2.1k 1.2× 1.6k 1.0× 331 16.9k
Donna Berg-Lyons United States 14 8.9k 0.9× 6.4k 1.5× 2.6k 1.4× 2.2k 1.3× 1.3k 0.8× 14 19.7k
Laura Wegener Parfrey Canada 39 8.4k 0.9× 5.2k 1.2× 1.8k 0.9× 1.0k 0.6× 1.2k 0.8× 80 15.8k
Morgan G. I. Langille Canada 38 7.3k 0.8× 3.0k 0.7× 1.5k 0.8× 1.4k 0.9× 1.4k 0.9× 99 13.5k
Todd Z. DeSantis United States 29 11.5k 1.2× 6.3k 1.5× 2.0k 1.0× 1.9k 1.1× 2.1k 1.3× 52 21.6k
William A. Walters United States 24 11.6k 1.2× 4.1k 1.0× 1.8k 1.0× 1.3k 0.8× 3.3k 2.0× 30 19.8k
Andrew Han United States 13 10.4k 1.1× 6.9k 1.6× 3.5k 1.8× 1.9k 1.1× 1.8k 1.1× 18 22.7k
Emily B. Hollister United States 33 9.7k 1.0× 7.4k 1.8× 3.1k 1.6× 2.5k 1.5× 1.7k 1.1× 62 21.6k
Jesse Zaneveld United States 22 7.0k 0.7× 5.0k 1.2× 1.6k 0.9× 1.3k 0.8× 1.2k 0.7× 35 14.2k

Countries citing papers authored by Robert G. Beiko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Robert G. Beiko

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

All Works

20 of 20 papers shown
1.
Choudoir, Mallory J., Suzanne L. Ishaq, Robert G. Beiko, et al.. (2025). The case for microbiome stewardship: what it is and how to get there. mSystems. 10(5). e0006225–e0006225.
2.
Hsu, Tiffany, Chengwei Luo, Robert G. Beiko, et al.. (2025). Profiling lateral gene transfer events in the human microbiome using WAAFLE. Nature Microbiology. 10(1). 94–111. 6 indexed citations
3.
Sanderson, Haley, et al.. (2024). Plaseval: a framework for comparing and evaluating plasmid detection tools. BMC Bioinformatics. 25(1). 365–365.
4.
Hall, Michael, et al.. (2023). Suspension of oral hygiene practices highlights key bacterial shifts in saliva, tongue, and tooth plaque during gingival inflammation and resolution. SHILAP Revista de lepidopterología. 3(1). 23–23. 7 indexed citations
5.
Maguire, Finlay, Baofeng Jia, Kristen L. Gray, et al.. (2020). Metagenome-assembled genome binning methods with short reads disproportionately fail for plasmids and genomic Islands. Microbial Genomics. 6(10). 82 indexed citations
6.
Maguire, Finlay, Muhammad Attiq Rehman, Catherine D. Carrillo, Moussa S. Diarra, & Robert G. Beiko. (2019). Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal Salmonella enterica Serovars by Using Machine Learning. mSystems. 4(4). 28 indexed citations
7.
Wright, Benjamin, et al.. (2018). Phylogenetic Clustering of Genes Reveals Shared Evolutionary Trajectories and Putative Gene Functions. Genome Biology and Evolution. 10(9). 2255–2265. 17 indexed citations
8.
Petkau, Aaron, Philip Mabon, Natalie Knox, et al.. (2017). SNVPhyl: a single nucleotide variant phylogenomics pipeline for microbial genomic epidemiology. Microbial Genomics. 3(6). e000116–e000116. 108 indexed citations
9.
Hall, Michael, et al.. (2017). Ananke: temporal clustering reveals ecological dynamics of microbial communities. PeerJ. 5. e3812–e3812. 11 indexed citations
10.
Meehan, Conor J., Morgan G. I. Langille, & Robert G. Beiko. (2015). Frailty and the Microbiome. PubMed. 41. 54–65. 12 indexed citations
11.
Whidden, Chris, Norbert Zeh, & Robert G. Beiko. (2014). Supertrees Based on the Subtree Prune-and-Regraft Distance. Systematic Biology. 63(4). 566–581. 43 indexed citations
12.
Boon, Eva, et al.. (2013). Interactions in the microbiome: communities of organisms and communities of genes. FEMS Microbiology Reviews. 38(1). 90–118. 146 indexed citations
13.
Hug, Laura, Robert G. Beiko, Annette R. Rowe, Ruth E. Richardson, & Elizabeth A. Edwards. (2012). Comparative metagenomics of three Dehalococcoides-containing enrichment cultures: the role of the non-dechlorinating community. BMC Genomics. 13(1). 327–327. 91 indexed citations
14.
Parks, Donovan H., Norman Macdonald, & Robert G. Beiko. (2011). Classifying short genomic fragments from novel lineages using composition and homology. BMC Bioinformatics. 12(1). 328–328. 52 indexed citations
15.
Parks, Donovan H. & Robert G. Beiko. (2010). Identifying biologically relevant differences between metagenomic communities. Bioinformatics. 26(6). 715–721. 792 indexed citations breakdown →
16.
Holloway, Catherine & Robert G. Beiko. (2010). Assembling networks of microbial genomes using linear programming. BMC Evolutionary Biology. 10(1). 360–360. 4 indexed citations
17.
Parks, Donovan H., et al.. (2009). GenGIS: A geospatial information system for genomic data. Genome Research. 19(10). 1896–1904. 101 indexed citations
18.
Chan, Cheong Xin, Robert G. Beiko, & Mark A. Ragan. (2007). A two-phase strategy for detecting recombination in nucleotide sequences. South African Computer Journal. 38. 20–27. 12 indexed citations
19.
Beiko, Robert G., Timothy J. Harlow, & Mark A. Ragan. (2005). Highways of gene sharing in prokaryotes. Proceedings of the National Academy of Sciences. 102(40). 14332–14337. 372 indexed citations
20.
Ragan, Mark A., Timothy J. Harlow, & Robert G. Beiko. (2005). Do different surrogate methods detect lateral genetic transfer events of different relative ages?. Trends in Microbiology. 14(1). 4–8. 69 indexed citations

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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