Bret Larget

33.6k total citations · 3 hit papers
41 papers, 25.4k citations indexed

About

Bret Larget is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Bret Larget has authored 41 papers receiving a total of 25.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Genetics and 10 papers in Artificial Intelligence. Recurrent topics in Bret Larget's work include Genomics and Phylogenetic Studies (21 papers), Genetic diversity and population structure (18 papers) and Bayesian Methods and Mixture Models (7 papers). Bret Larget is often cited by papers focused on Genomics and Phylogenetic Studies (21 papers), Genetic diversity and population structure (18 papers) and Bayesian Methods and Mixture Models (7 papers). Bret Larget collaborates with scholars based in United States, Sweden and Canada. Bret Larget's co-authors include John P. Huelsenbeck, Fredrik Ronquist, Paul van der Mark, Daniel L. Ayres, Maxim Teslenko, Marc A. Suchard, Aaron E. Darling, Liang Liu, Sebastian Höhna and Richard E. Miller and has published in prestigious journals such as Bioinformatics, Applied and Environmental Microbiology and Gut.

In The Last Decade

Bret Larget

40 papers receiving 24.9k citations

Hit Papers

MrBayes 3.2: Efficient Bayesian Phylogenetic... 1999 2026 2008 2017 2012 1999 2002 5.0k 10.0k 15.0k 20.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bret Larget United States 24 9.6k 7.9k 6.8k 6.8k 6.1k 41 25.4k
Liang Liu United States 32 10.7k 1.1× 8.0k 1.0× 6.4k 0.9× 6.4k 0.9× 7.3k 1.2× 69 25.9k
Paul van der Mark Netherlands 3 7.7k 0.8× 6.8k 0.9× 5.5k 0.8× 5.9k 0.9× 4.6k 0.7× 8 21.2k
Daniel L. Ayres United States 7 8.3k 0.9× 7.3k 0.9× 6.0k 0.9× 6.3k 0.9× 5.2k 0.9× 9 23.9k
Maxim Teslenko Sweden 8 7.7k 0.8× 6.7k 0.8× 5.5k 0.8× 5.8k 0.9× 4.5k 0.7× 19 21.2k
Sebastian Höhna Germany 22 8.4k 0.9× 7.4k 0.9× 5.7k 0.8× 6.1k 0.9× 5.3k 0.9× 47 23.0k
Aaron E. Darling Australia 39 15.2k 1.6× 7.5k 0.9× 8.0k 1.2× 9.6k 1.4× 6.4k 1.0× 101 34.1k
Heiko A. Schmidt Austria 20 13.3k 1.4× 5.2k 0.7× 6.3k 0.9× 6.5k 1.0× 5.5k 0.9× 33 28.3k
Stéphane Guindon France 21 16.3k 1.7× 7.3k 0.9× 8.8k 1.3× 10.0k 1.5× 8.3k 1.4× 39 39.8k
David L. Swofford United States 34 7.9k 0.8× 6.6k 0.8× 5.0k 0.7× 5.0k 0.7× 7.3k 1.2× 55 21.7k
Olivier Gascuel France 35 21.0k 2.2× 6.5k 0.8× 10.8k 1.6× 11.1k 1.6× 8.7k 1.4× 136 46.4k

Countries citing papers authored by Bret Larget

Since Specialization
Citations

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

Fields of papers citing papers by Bret Larget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bret Larget

This figure shows the co-authorship network connecting the top 25 collaborators of Bret Larget. A scholar is included among the top collaborators of Bret Larget 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 Bret Larget. Bret Larget 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.
Du, Lianlian, Bruce P. Hermann, Erin M. Jonaitis, et al.. (2023). Harnessing cognitive trajectory clusterings to examine subclinical decline risk factors. Brain Communications. 5(6). 4 indexed citations
2.
Ginder‐Vogel, Matthew, James Stegen, Evan Arntzen, et al.. (2017). Colonization Habitat Controls Biomass, Composition, and Metabolic Activity of Attached Microbial Communities in the Columbia River Hyporheic Corridor. Applied and Environmental Microbiology. 83(16). 15 indexed citations
3.
Shim, Heejung & Bret Larget. (2017). BayesCAT: Bayesian Co-estimation of Alignment and Tree. Biometrics. 74(1). 270–279. 4 indexed citations
4.
Larget, Bret, et al.. (2016). A novel statistical method for behaviour sequence analysis and its application to birdsong. Animal Behaviour. 116. 181–193. 21 indexed citations
5.
Zou, Luli S., Perry J. Pickhardt, Kristina A. Matkowskyj, et al.. (2016). Subclonal diversity arises early even in small colorectal tumours and contributes to differential growth fates. Gut. 66(12). 2132–2140. 31 indexed citations
6.
Murfin, Kristen E., Jonathan L. Klassen, Bradon R. McDonald, et al.. (2015). Xenorhabdus bovienii Strain Diversity Impacts Coevolution and Symbiotic Maintenance with Steinernema spp. Nematode Hosts. mBio. 6(3). e00076–e00076. 67 indexed citations
7.
Larget, Bret. (2015). Bayesian Phylogenetics: Methods, Algorithms and Applications. International Statistical Review. 83(1). 160–161. 38 indexed citations
8.
Posavi, Marijan, Gregory Gelembiuk, Bret Larget, & Carol Eunmi Lee. (2014). Testing for beneficial reversal of dominance during salinity shifts in the invasive copepod Eurytemora affinis , and implications for the maintenance of genetic variation. Evolution. 68(11). 3166–3183. 29 indexed citations
10.
Larget, Bret, et al.. (2010). BUCKy: Gene tree/species tree reconciliation with Bayesian concordance analysis. Bioinformatics. 26(22). 2910–2911. 318 indexed citations
11.
White, Michael A., Cécile Ané, Colin N. Dewey, Bret Larget, & Bret A. Payseur. (2009). Fine-Scale Phylogenetic Discordance across the House Mouse Genome. PLoS Genetics. 5(11). e1000729–e1000729. 78 indexed citations
12.
Larget, Bret, et al.. (2009). Modeling substitution and indel processes for AFLP marker evolution and phylogenetic inference. The Annals of Applied Statistics. 3(1). 4 indexed citations
13.
Hipp, Andrew L., et al.. (2007). A Bayesian Model of AFLP Marker Evolution and Phylogenetic Inference. Statistical Applications in Genetics and Molecular Biology. 6(1). Article11–Article11. 27 indexed citations
14.
Larget, Bret, Joseph B. Kadane, & Donald L. Simon. (2005). A Bayesian approach to the estimation of ancestral genome arrangements. Molecular Phylogenetics and Evolution. 36(2). 214–223. 23 indexed citations
15.
Larget, Bret, Donald L. Simon, Joseph B. Kadane, & Deborah Sweet. (2004). A Bayesian Analysis of Metazoan Mitochondrial Genome Arrangements. Molecular Biology and Evolution. 22(3). 486–495. 49 indexed citations
16.
17.
Huelsenbeck, John P., Bret Larget, Richard E. Miller, & Fredrik Ronquist. (2002). Potential Applications and Pitfalls of Bayesian Inference of Phylogeny. Systematic Biology. 51(5). 673–688. 683 indexed citations breakdown →
18.
Huelsenbeck, John P., Bruce Rannala, & Bret Larget. (2000). A BAYESIAN FRAMEWORK FOR THE ANALYSIS OF COSPECIATION. Evolution. 54(2). 352–364. 108 indexed citations
19.
Mau, Bob, Michael A. Newton, & Bret Larget. (1999). Bayesian Phylogenetic Inference via Markov Chain Monte Carlo Methods. Biometrics. 55(1). 1–12. 390 indexed citations
20.
Larget, Bret. (1998). A canonical representation for aggregated Markov processes. Journal of Applied Probability. 35(2). 313–324. 1 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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