Bryan K. Epperson

5.4k total citations
65 papers, 4.0k citations indexed

About

Bryan K. Epperson is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Bryan K. Epperson has authored 65 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 29 papers in Ecology, Evolution, Behavior and Systematics and 19 papers in Nature and Landscape Conservation. Recurrent topics in Bryan K. Epperson's work include Genetic diversity and population structure (43 papers), Plant and animal studies (25 papers) and Genetic and phenotypic traits in livestock (21 papers). Bryan K. Epperson is often cited by papers focused on Genetic diversity and population structure (43 papers), Plant and animal studies (25 papers) and Genetic and phenotypic traits in livestock (21 papers). Bryan K. Epperson collaborates with scholars based in United States, South Korea and Canada. Bryan K. Epperson's co-authors include Michael T. Clegg, Myong Gi Chung, R. W. Allard, Marie-Josée Fortin, Rolf Holderegger, Kim T. Scribner, Michael S. Rosenberg, Elena Álvarez‐Buylla, Stéphanie Manel and Mi Yoon Chung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The American Naturalist and Genetics.

In The Last Decade

Bryan K. Epperson

65 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan K. Epperson United States 36 2.7k 1.5k 1.2k 1.1k 926 65 4.0k
Brook G. Milligan United States 22 2.2k 0.8× 1.8k 1.2× 1.3k 1.1× 1.3k 1.2× 1.7k 1.8× 46 5.2k
Ken N. Paige United States 33 1.5k 0.6× 1.6k 1.1× 1.5k 1.2× 1.3k 1.2× 1.3k 1.4× 66 4.1k
Michael L. Arnold United States 33 2.6k 1.0× 2.1k 1.3× 935 0.8× 931 0.8× 1.8k 1.9× 59 4.9k
Michael L. Arnold United States 39 2.5k 1.0× 2.5k 1.7× 1.1k 0.9× 937 0.8× 1.9k 2.1× 76 5.0k
Ivana Stehlik Canada 22 1.7k 0.6× 1.5k 1.0× 755 0.6× 618 0.6× 1.1k 1.2× 26 3.2k
Myriam Heuertz France 33 2.3k 0.8× 1.4k 0.9× 895 0.7× 811 0.7× 1.1k 1.2× 94 3.7k
José A. Godoy Spain 35 1.8k 0.7× 1.2k 0.8× 1.1k 0.9× 2.0k 1.8× 912 1.0× 100 4.2k
Christophe Thébaud France 32 1.2k 0.4× 1.7k 1.1× 1.1k 0.9× 1.1k 1.0× 758 0.8× 92 3.7k
Yvonne Willi Switzerland 26 1.7k 0.6× 1.2k 0.8× 898 0.7× 829 0.7× 635 0.7× 61 3.0k
Pernille Bronken Eidesen Norway 22 2.6k 1.0× 1.6k 1.1× 886 0.7× 1.4k 1.3× 1.5k 1.6× 47 4.8k

Countries citing papers authored by Bryan K. Epperson

Since Specialization
Citations

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

Fields of papers citing papers by Bryan K. Epperson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan K. Epperson. 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 Bryan K. Epperson. The network helps show where Bryan K. Epperson may publish in the future.

Co-authorship network of co-authors of Bryan K. Epperson

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan K. Epperson. A scholar is included among the top collaborators of Bryan K. Epperson 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 Bryan K. Epperson. Bryan K. Epperson 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.
Manel, Stéphanie, Stéphane Joost, Bryan K. Epperson, et al.. (2010). Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field. Molecular Ecology. 19(17). 3760–3772. 222 indexed citations
2.
Epperson, Bryan K., Brad H. McRae, Kim T. Scribner, et al.. (2010). Utility of computer simulations in landscape genetics. Molecular Ecology. 19(17). 3549–3564. 148 indexed citations
3.
Epperson, Bryan K.. (2010). Spatial correlations at different spatial scales are themselves highly correlated in isolation by distance processes. Molecular Ecology Resources. 10(5). 845–853. 15 indexed citations
4.
Epperson, Bryan K.. (2007). Plant dispersal, neighbourhood size and isolation by distance. Molecular Ecology. 16(18). 3854–3865. 49 indexed citations
5.
Epperson, Bryan K., et al.. (2007). High levels of genetic variability and inbreeding in two Neotropical dioecious palms with contrasting life histories. Heredity. 99(4). 466–476. 16 indexed citations
6.
Epperson, Bryan K., et al.. (2005). Geographic pattern of genetic diversity in Pinus resinosa: contact zone between descendants of glacial refugia. American Journal of Botany. 92(1). 92–100. 45 indexed citations
7.
Epperson, Bryan K.. (2004). Multilocus estimation of genetic structure within populations. Theoretical Population Biology. 65(3). 227–237. 40 indexed citations
8.
Epperson, Bryan K., et al.. (2004). Microsatellite analysis of spatial structure among seedlings in populations of Pinus strobus (pinaceae). American Journal of Botany. 91(4). 549–557. 31 indexed citations
9.
Marquardt, Paula E. & Bryan K. Epperson. (2004). Spatial and population genetic structure of microsatellites in white pine. Molecular Ecology. 13(11). 3305–3315. 72 indexed citations
10.
Epperson, Bryan K.. (2003). Covariances among join-count spatial autocorrelation measures. Theoretical Population Biology. 64(1). 81–87. 16 indexed citations
11.
Chung, Myong Gi, Mi Yoon Chung, & Bryan K. Epperson. (2001). Conservation Genetics of an Endangered Herb, Hanabusaya asiatica (Campanulaceae). Plant Biology. 3(1). 42–49. 16 indexed citations
12.
Chung, Myong Gi & Bryan K. Epperson. (2000). Spatial genetic structure of allozyme polymorphisms in a population of Eurya japonica (Theaceae). Silvae genetica. 49(1). 1–4. 13 indexed citations
13.
Chung, Myong Gi & Bryan K. Epperson. (2000). Clonal and spatial genetic structure in Eurya emarginata (Theaceae). Heredity. 84(2). 170–177. 54 indexed citations
14.
Chung, Myong Gi, Jae Min Chung, Mi Yoon Chung, & Bryan K. Epperson. (2000). Spatial distribution of allozyme polymorphisms following clonal and sexual reproduction in populations of Rhus javanica (Anacardiaceae). Heredity. 84(2). 178–185. 23 indexed citations
15.
Epperson, Bryan K.. (1995). Spatial distributions of genotypes under isolation by distance.. Genetics. 140(4). 1431–1440. 79 indexed citations
16.
Epperson, Bryan K.. (1995). Spatial structure of two-locus genotypes under isolation by distance.. Genetics. 140(1). 365–375. 35 indexed citations
17.
Epperson, Bryan K.. (1994). Spatial and Space-Time Correlations in Systems of Subpopulations with Stochastic Migration. Theoretical Population Biology. 46(2). 160–197. 7 indexed citations
18.
Epperson, Bryan K.. (1993). Spatial and space-time correlations in systems of subpopulations with genetic drift and migration.. Genetics. 133(3). 711–727. 45 indexed citations
19.
Epperson, Bryan K.. (1990). Spatial autocorrelation of genotypes under directional selection.. Genetics. 124(3). 757–771. 124 indexed citations
20.
Epperson, Bryan K. & R. W. Allard. (1989). Spatial autocorrelation analysis of the distribution of genotypes within populations of lodgepole pine.. Genetics. 121(2). 369–377. 154 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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