Wayne K. Potts

8.4k total citations · 1 hit paper
80 papers, 5.8k citations indexed

About

Wayne K. Potts is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Immunology. According to data from OpenAlex, Wayne K. Potts has authored 80 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ecology, Evolution, Behavior and Systematics, 26 papers in Genetics and 26 papers in Immunology. Recurrent topics in Wayne K. Potts's work include Animal Behavior and Reproduction (30 papers), T-cell and B-cell Immunology (19 papers) and Evolution and Genetic Dynamics (17 papers). Wayne K. Potts is often cited by papers focused on Animal Behavior and Reproduction (30 papers), T-cell and B-cell Immunology (19 papers) and Evolution and Genetic Dynamics (17 papers). Wayne K. Potts collaborates with scholars based in United States, Austria and Australia. Wayne K. Potts's co-authors include Dustin J. Penn, Edward K. Wakeland, C. Jo Manning, Patricia Slev, Kristy Damjanovich, David B. McDonald, Victor Apanius, Shawn Meagher, Erin E. McClelland and James S. Ruff and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Wayne K. Potts

80 papers receiving 5.5k citations

Hit Papers

The Evolution of Mating Preferences and Major Histocompat... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne K. Potts United States 38 2.5k 1.8k 1.4k 1.2k 766 80 5.8k
Robert E. Johnston United States 61 2.4k 1.0× 1.2k 0.7× 1.3k 1.0× 1.3k 1.1× 1.9k 2.5× 227 11.0k
Shelley A. Adamo Canada 44 2.4k 1.0× 1.5k 0.9× 1.0k 0.8× 1.3k 1.1× 584 0.8× 106 5.7k
Donna L. Maney United States 35 2.9k 1.2× 691 0.4× 296 0.2× 2.0k 1.6× 782 1.0× 83 5.3k
Alexandre Roulin Switzerland 55 6.6k 2.7× 1.4k 0.8× 277 0.2× 4.3k 3.5× 596 0.8× 268 9.6k
Manfred Gahr Germany 47 4.2k 1.7× 963 0.6× 1.1k 0.8× 2.5k 2.0× 680 0.9× 276 8.3k
Leslie A. Knapp United Kingdom 34 991 0.4× 382 0.2× 831 0.6× 431 0.4× 973 1.3× 75 2.9k
Marie J. E. Charpentier France 31 1.2k 0.5× 501 0.3× 250 0.2× 627 0.5× 1.4k 1.9× 77 2.8k
James L. Goodson United States 53 2.7k 1.1× 643 0.4× 924 0.7× 1.0k 0.9× 3.8k 4.9× 158 8.3k
Michael W. Nachman United States 63 2.3k 0.9× 6.7k 3.8× 404 0.3× 1.8k 1.5× 347 0.5× 137 10.7k
Johanna Mappes Finland 56 7.2k 2.9× 3.6k 2.1× 255 0.2× 1.6k 1.3× 564 0.7× 225 9.1k

Countries citing papers authored by Wayne K. Potts

Since Specialization
Citations

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

Fields of papers citing papers by Wayne K. Potts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne K. Potts

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne K. Potts. A scholar is included among the top collaborators of Wayne K. Potts 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 Wayne K. Potts. Wayne K. Potts 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.
Zala, Sarah M., et al.. (2023). Female scent accelerates growth of juvenile male mice. Scientific Reports. 13(1). 7371–7371. 1 indexed citations
2.
Apanius, Victor, et al.. (2017). The Nature of Selection on the Major Histocompatibility Complex. Critical Reviews in Immunology. 37(2-6). 75–120. 75 indexed citations
3.
Ruff, James S., et al.. (2016). Paroxetine exposure skews litter sex ratios in mice suggesting a Trivers–Willard process. Behavioral Ecology. 27(4). 1113–1121. 5 indexed citations
5.
Ruff, James S., et al.. (2016). Rofecoxib-induced deleterious effects escape detection by organismal performance assays. Journal of Pharmaceutical Negative Results. 7(1). 4–4. 3 indexed citations
6.
Ruff, James S., et al.. (2014). Compared to Sucrose, Previous Consumption of Fructose and Glucose Monosaccharides Reduces Survival and Fitness of Female Mice. Journal of Nutrition. 145(3). 434–441. 19 indexed citations
7.
Cunningham, Christopher B., James S. Ruff, Kevin Chase, Wayne K. Potts, & David R. Carrier. (2013). Competitive Ability in Male House Mice (Mus musculus): Genetic Influences. Behavior Genetics. 43(2). 151–160. 18 indexed citations
8.
McClelland, Erin E., Johanna Rivera, Arturo Casadevall, et al.. (2013). The Role of Host Gender in the Pathogenesis of Cryptococcus neoformans Infections. PLoS ONE. 8(5). e63632–e63632. 69 indexed citations
9.
Nelson, Adam, et al.. (2013). Rapid adaptation to mammalian sociality via sexually selected traits. BMC Evolutionary Biology. 13(1). 81–81. 11 indexed citations
10.
Kubinak, Jason L., et al.. (2012). Experimental viral evolution to specific host MHC genotypes reveals fitness and virulence trade-offs in alternative MHC types. Proceedings of the National Academy of Sciences. 109(9). 3422–3427. 64 indexed citations
11.
Ilmonen, Petteri, Dustin J. Penn, Kristy Damjanovich, et al.. (2008). Experimental infection magnifies inbreeding depression in house mice. Journal of Evolutionary Biology. 21(3). 834–841. 55 indexed citations
12.
Zala, Sarah M., Benjamin K. Chan, Staci D. Bilbo, et al.. (2007). Genetic resistance to infection influences a male’s sexual attractiveness and modulation of testosterone. Brain Behavior and Immunity. 22(3). 381–387. 19 indexed citations
13.
Meagher, Shawn & Wayne K. Potts. (2004). A Microsatellite-Based MHC Genotyping System for House Mice (Mus domesticus). Hereditas. 127(1-2). 75–82. 23 indexed citations
14.
Penn, Dustin J., Kristy Damjanovich, & Wayne K. Potts. (2002). MHC heterozygosity confers a selective advantage against multiple-strain infections. Proceedings of the National Academy of Sciences. 99(17). 11260–11264. 450 indexed citations
15.
Carroll, Liam & Wayne K. Potts. (2001). Accumulated background variation among H2 mutant congenic strains: elimination through PCR-based genotyping of F2 segregants. Journal of Immunological Methods. 257(1-2). 137–143. 8 indexed citations
16.
Penn, Dustin J. & Wayne K. Potts. (1998). How Do Major Histocompatibility Complex Genes Influence Odor and Mating Preferences?**Received for publication on September 19, 1997. Advances in immunology. 69. 411–436. 144 indexed citations
17.
Potts, Wayne K., C. Jo Manning, & Edward K. Wakeland. (1994). The role of infectious disease, inbreeding and mating preferences in maintaining MHC genetic diversity: an experimental test. Philosophical Transactions of the Royal Society B Biological Sciences. 346(1317). 369–378. 121 indexed citations
18.
McDonald, David B. & Wayne K. Potts. (1994). Cooperative Display and Relatedness Among Males in a Lek-Mating Bird. Science. 266(5187). 1030–1032. 198 indexed citations
19.
Jenner, Dominic C., et al.. (1990). Human cDNA sequence homologous to the mouse LLRep3 gene family. Nucleic Acids Research. 18(3). 681–681. 13 indexed citations
20.
Pullen, Ann M., Wayne K. Potts, Edward K. Wakeland, John W. Kappler, & Philippa Marrack. (1990). Surprisingly uneven distribution of the T cell receptor V beta repertoire in wild mice.. The Journal of Experimental Medicine. 171(1). 49–62. 66 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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