Bret A. Payseur

12.2k total citations · 1 hit paper
86 papers, 5.4k citations indexed

About

Bret A. Payseur is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Bret A. Payseur has authored 86 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Genetics, 28 papers in Molecular Biology and 14 papers in Plant Science. Recurrent topics in Bret A. Payseur's work include Genetic Mapping and Diversity in Plants and Animals (46 papers), Genetic diversity and population structure (44 papers) and Evolution and Genetic Dynamics (30 papers). Bret A. Payseur is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (46 papers), Genetic diversity and population structure (44 papers) and Evolution and Genetic Dynamics (30 papers). Bret A. Payseur collaborates with scholars based in United States, United Kingdom and Germany. Bret A. Payseur's co-authors include Michael W. Nachman, Asher D. Cutter, Jodi A. Irwin, Anne D. Yoder, Ryan J. Haasl, Loren H. Rieseberg, Beth L. Dumont, Michael A. White, James G. Krenz and Amy L. Dapper and has published in prestigious journals such as Trends in Ecology & Evolution, Nature Reviews Genetics and Genetics.

In The Last Decade

Bret A. Payseur

82 papers receiving 5.3k citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A genomic perspective on hybridization and speciation

2016 368 citations Bret A. Payseur et al. profile →

Peers

Bret A. Payseur

GENET

MB

PS

EEBS

ECOLO

Mikkel Heide Schierup Denmark

John W. Davey United Kingdom

Wesley C. Warren United States

Asher D. Cutter Canada

Yoko Satta Japan

Simon H. Martin United Kingdom

Yun Fu China

Matthew T. Webster Sweden

Brant K. Peterson United States

Daven C. Presgraves United States

Mikkel Heide Schierup Denmark

Bret A. Payseur

3.1k ×0.8

GENET

3.7k ×1.8

MB

2.0k ×1.5

PS

1.6k ×1.4

EEBS

594 ×1.0

ECOLO

Citations per year, relative to Bret A. Payseur Bret A. Payseur (= 1×) peers Mikkel Heide Schierup

Countries citing papers authored by Bret A. Payseur

Since Specialization

Citations

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

Fields of papers citing papers by Bret A. Payseur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bret A. Payseur

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

All Works

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20 of 20 papers shown

1.

Payseur, Bret A., et al.. (2025). Population History Across Timescales in an Urban Archipelago. Genome Biology and Evolution. 17(4).

2.

Gabriel, Sofia I., Jeremy S. Herman, John F. Baines, et al.. (2024). House Mice in the Atlantic Region: Genetic Signals of Their Human Transport. Genes. 15(12). 1645–1645. 1 indexed citations

3.

Haasl, Ryan J. & Bret A. Payseur. (2024). Fitness landscapes of human microsatellites. PLoS Genetics. 20(12). e1011524–e1011524.

4.

Payseur, Bret A., et al.. (2023). Genetics of evolved load resistance in the skeletons of unusually large mice from Gough Island. Genetics. 225(1).

5.

Payseur, Bret A., et al.. (2020). Sex-specific variation in the genome-wide recombination rate. Genetics. 217(1). 1–11. 12 indexed citations

6.

Harr, Bettina, et al.. (2020). Disrupted Gene Networks in Subfertile Hybrid House Mice. Molecular Biology and Evolution. 37(6). 1547–1562. 17 indexed citations

7.

Jing, Peicheng, et al.. (2020). Giant Island Mice Exhibit Widespread Gene Expression Changes in Key Metabolic Organs. Genome Biology and Evolution. 12(8). 1277–1301. 2 indexed citations

8.

Broman, Karl W., Sung‐Jin Kim, Śaunak Sen, Cécile Ané, & Bret A. Payseur. (2012). Mapping Quantitative Trait Loci onto a Phylogenetic Tree. Genetics. 192(1). 267–279. 7 indexed citations

9.

Haasl, Ryan J. & Bret A. Payseur. (2012). Microsatellites as Targets of Natural Selection. Molecular Biology and Evolution. 30(2). 285–298. 52 indexed citations

10.

White, Michael A., Akihiro Ikeda, & Bret A. Payseur. (2012). A pronounced evolutionary shift of the pseudoautosomal region boundary in house mice. Mammalian Genome. 23(7-8). 454–466. 36 indexed citations

11.

Dumont, Beth L. & Bret A. Payseur. (2010). Evolution of the Genomic Recombination Rate in Murid Rodents. Genetics. 187(3). 643–657. 51 indexed citations

12.

Haasl, Ryan J. & Bret A. Payseur. (2010). Multi-locus inference of population structure: a comparison between single nucleotide polymorphisms and microsatellites. Heredity. 106(1). 158–171. 151 indexed citations

13.

Dumont, Beth L., Michael A. White, Brian Steffy, Tim Wiltshire, & Bret A. Payseur. (2010). Extensive recombination rate variation in the house mouse species complex inferred from genetic linkage maps. Genome Research. 21(1). 114–125. 55 indexed citations

14.

Payseur, Bret A., Michael Place, & James L. Weber. (2008). Linkage Disequilibrium between STRPs and SNPs across the Human Genome. The American Journal of Human Genetics. 82(5). 1039–1050. 28 indexed citations

15.

Teeter, Katherine C., Bret A. Payseur, Janelle E. O’Brien, et al.. (2007). Genome-wide patterns of gene flow across a house mouse hybrid zone. Genome Research. 18(1). 67–76. 197 indexed citations

16.

Payseur, Bret A. & Michael Place. (2007). Searching the Genomes of Inbred Mouse Strains for Incompatibilities That Reproductively Isolate Their Wild Relatives. Journal of Heredity. 98(2). 115–122. 13 indexed citations

17.

Payseur, Bret A., Andrew G. Clark, James E. Hixson, Eric Boerwinkle, & Charles F. Sing. (2006). Contrasting multi‐site genotypic distributions among discordant quantitative phenotypes: the APOA1/C3/A4/A5 gene cluster and cardiovascular disease risk factors. Genetic Epidemiology. 30(6). 508–518. 3 indexed citations

18.

Payseur, Bret A. & Asher D. Cutter. (2006). Integrating patterns of polymorphism at SNPs and STRs. Trends in Genetics. 22(8). 424–429. 50 indexed citations

19.

Payseur, Bret A. & Hopi E. Hoekstra. (2005). Signatures of Reproductive Isolation in Patterns of Single Nucleotide Diversity Across Inbred Strains of Mice. Genetics. 171(4). 1905–1916. 36 indexed citations

20.

Jensen‐Seaman, Michael I., Terrence S. Furey, Bret A. Payseur, et al.. (2004). Comparative Recombination Rates in the Rat, Mouse, and Human Genomes. Genome Research. 14(4). 528–538. 378 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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