John Wakeley

10.3k total citations · 2 hit papers
82 papers, 7.0k citations indexed

About

John Wakeley is a scholar working on Genetics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, John Wakeley has authored 82 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Genetics, 18 papers in Molecular Biology and 15 papers in Sociology and Political Science. Recurrent topics in John Wakeley's work include Evolution and Genetic Dynamics (50 papers), Genetic diversity and population structure (46 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). John Wakeley is often cited by papers focused on Evolution and Genetic Dynamics (50 papers), Genetic diversity and population structure (46 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). John Wakeley collaborates with scholars based in United States, France and Netherlands. John Wakeley's co-authors include Rasmus Nielsen, Jody Hey, Bjarki Eldon, Michael P. Cummings, Sarah P. Otto, Joseph B. Slowinski, Peter Beerli, Scott V. Edwards, Brian S. Arbogast and Martin A. Nowak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

John Wakeley

79 papers receiving 6.8k 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.

Distinguishing Migration From Isolation: A Markov Chain Monte Carlo Approach

2001 1.1k citations John Wakeley et al. Genetics profile →
Estimating Divergence Times from Molecular Data on Phylogenetic and Population Genetic Timescales

2002 514 citations John Wakeley et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Wakeley United States	39	5.1k	2.1k	1.3k	1.2k	898	82	7.0k
Patrick C. Phillips United States	46	4.8k 0.9×	2.1k 1.0×	1.1k 0.8×	2.7k 2.2×	987 1.1×	133	8.1k
Alan R. Rogers United States	39	6.5k 1.3×	2.5k 1.2×	2.7k 2.0×	1.4k 1.1×	776 0.9×	95	10.8k
Naoyuki Takahata Japan	53	4.4k 0.9×	3.5k 1.7×	1.2k 0.9×	1.1k 0.9×	1.0k 1.1×	126	8.5k
Graham Coop United States	46	7.3k 1.4×	3.2k 1.5×	870 0.7×	1000 0.8×	1.4k 1.6×	84	10.1k
R R Hudson United States	16	6.3k 1.2×	2.9k 1.4×	1.6k 1.2×	1.4k 1.2×	1.7k 1.9×	21	9.0k
John H. Gillespie United States	40	4.2k 0.8×	1.8k 0.8×	756 0.6×	1.5k 1.2×	540 0.6×	99	6.3k
Reinhard Bürger Austria	47	5.2k 1.0×	1.6k 0.8×	1.8k 1.4×	3.1k 2.5×	830 0.9×	200	10.5k
Michael Bulmer United Kingdom	42	3.3k 0.6×	2.0k 1.0×	1.2k 0.9×	1.9k 1.5×	871 1.0×	109	6.9k
Alexey S. Kondrashov United States	47	5.3k 1.0×	3.2k 1.5×	835 0.6×	1.9k 1.6×	1.4k 1.5×	129	8.0k
Tomoko Ohta Japan	43	6.3k 1.2×	4.3k 2.0×	1.1k 0.9×	1.3k 1.0×	1.7k 1.9×	97	10.0k

Countries citing papers authored by John Wakeley

Since Specialization

Citations

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

Fields of papers citing papers by John Wakeley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Wakeley

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wakeley, John, et al.. (2025). Correlation of coalescence times in a diploid Wright–Fisher model with recombination and selfing. Theoretical Population Biology. 167. 40–68.

Birkner, Matthias, et al.. (2024). Bursts of coalescence within population pedigrees whenever big families occur. Genetics. 227(1). 3 indexed citations

Rivas-González, Iker, Mikkel Heide Schierup, John Wakeley, & Asger Hobolth. (2024). TRAILS: Tree reconstruction of ancestry using incomplete lineage sorting. PLoS Genetics. 20(2). e1010836–e1010836.

Wakeley, John, et al.. (2024). Latent mutations in the ancestries of alleles under selection. Theoretical Population Biology. 158. 1–20. 1 indexed citations

Harney, Éadaoin, Nick Patterson, David Reich, & John Wakeley. (2021). Assessing the performance of qpAdm: a statistical tool for studying population admixture. Genetics. 217(4). 73 indexed citations

Palacios, Julia A., et al.. (2019). Bayesian Estimation of Population Size Changes by Sampling Tajima’s Trees. Genetics. 213(3). 967–986. 8 indexed citations

Wilton, Peter, Pierre Baduel, Matthieu Landon, & John Wakeley. (2017). Population structure and coalescence in pedigrees: Comparisons to the structured coalescent and a framework for inference. Theoretical Population Biology. 115. 1–12. 10 indexed citations

Palacios, Julia A., John Wakeley, & Sohini Ramachandran. (2015). Bayesian Nonparametric Inference of Population Size Changes from Sequential Genealogies. Genetics. 201(1). 281–304. 17 indexed citations

Antal, Tibor, Hisashi Ohtsuki, John Wakeley, Peter Taylor, & Martin A. Nowak. (2009). Evolution of cooperation by phenotypic similarity. Proceedings of the National Academy of Sciences. 106(21). 8597–8600. 187 indexed citations

10.

Shpak, Max, John Wakeley, Daniel Garrigan, & Richard C Lewontin. (2009). A STRUCTURED COALESCENT PROCESS FOR SEASONALLY FLUCTUATING POPULATIONS. Evolution. 64(5). 1395–409. 11 indexed citations

11.

Ramachandran, Sohini, Noah A. Rosenberg, Marcus W. Feldman, & John Wakeley. (2008). Population differentiation and migration: Coalescence times in a two-sex island model for autosomal and X-linked loci. Theoretical Population Biology. 74(4). 291–301. 25 indexed citations

12.

Wakeley, John & Sabin Lessard. (2006). Corridors for migration between large subdivided populations, and the structured coalescent. Theoretical Population Biology. 70(4). 412–420. 6 indexed citations

13.

Wakeley, John. (2004). Metapopulation models for historical inference. Molecular Ecology. 13(4). 865–875. 52 indexed citations

14.

Wakeley, John & Tsuyoshi Takahashi. (2004). The many-demes limit for selection and drift in a subdivided population. Theoretical Population Biology. 66(2). 83–91. 34 indexed citations

15.

Wakeley, John. (2003). Gene Genealogies When the Sample Size Exceeds the Effective Size of the Population. Molecular Biology and Evolution. 20(2). 208–213. 46 indexed citations

16.

Wakeley, John. (2001). The Coalescent in an Island Model of Population Subdivision with Variation among Demes. Theoretical Population Biology. 59(2). 133–144. 109 indexed citations

17.

Wakeley, John. (1996). The excess of transitions among nucleotide substitutions: new methods of estimating transition bias underscore its significance. Trends in Ecology & Evolution. 11(4). 158–162. 194 indexed citations

18.

Cummings, Michael P., Sarah P. Otto, & John Wakeley. (1995). Sampling properties of DNA sequence data in phylogenetic analysis.. Molecular Biology and Evolution. 12(5). 814–22. 314 indexed citations

19.

Wakeley, John. (1994). Substitution-rate variation among sites and the estimation of transition bias.. Molecular Biology and Evolution. 11(3). 436–42. 103 indexed citations

20.

Wakeley, John. (1993). Substitution rate variation among sites in hypervariable region 1 of human mitochondrial DNA. Journal of Molecular Evolution. 37(6). 613–23. 242 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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