John Wakeley

9.7k citations
89 papers · 7.7k · 2 hit papers · h-index 39

Impact in

Papers in

    • Genetic diversity and population structure 59
    • Evolution and Genetic Dynamics 46
    • Forensic and Genetic Research 30
    • Genetic Associations and Epidemiology 2
    • Stochastic processes and statistical mechanics 9

John Wakeley

88 papers receiving 7.5k citations

John Wakeley's Hit Papers

Genomic architecture and introgression shape a butterfly radiation 2019 · 418 citations
4180+8+16Years since publication2505007501k

Peers

John Wakeley
Comparison fields: 5 of 109
  • Genetics 5.8k
  • Ecology, Evolution, Behavior and Systematics 826
  • Paleontology 418
  • Mathematical Physics 372
  • Molecular Biology 1.1k
Replace Tomoko Ohta with:
Tomoko Ohta Japan
John H. Gillespie United States
Jody Hey United States
Peter Beerli United States
Takeo Maruyama Japan
Joachim Hermisson Austria
Charles F. Aquadro United States
Jeffrey L. Thorne United States
Cécile Ané United States
Michael D. Hendy New Zealand
John Wakeley relative to Tomoko Ohta Japan Tomoko Ohta's profile →
Citations per field
00.5×1.6×
Tomoko Ohta · 1×
Citations per year

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-authors

The 25 scholars most cited alongside John Wakeley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Wakeley Line = papers co-authored together John Wakeley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distinguishing Migration From Isolation: A Markov Chain Monte Carlo Approach
Hit paper breakdown →
20011128
2 2002504
3
Genomic architecture and introgression shape a butterfly radiation
Hit paper breakdown →
2019418
4 1997368
5 2000325
6 1995324
7 1997323
8 1993252
9 2001228
10 1997214
11 1999210
12 1996205
13 2009197
14 2003184
15 2006177
16 2001163
17 2000156
18 2021137
19 2001136
20 1994118

About John Wakeley

John Wakeley is a scholar working on Genetics, Mathematical Physics, Molecular Biology, Sociology and Political Science and Paleontology, having authored 89 papers that have together received 7.7k indexed citations. Recurring topics across this work include Genetic diversity and population structure (59 papers), Evolution and Genetic Dynamics (46 papers), Forensic and Genetic Research (30 papers), Stochastic processes and statistical mechanics (9 papers), Genomics and Phylogenetic Studies (9 papers), Evolutionary Game Theory and Cooperation (4 papers), Genetic Associations and Epidemiology (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Genetics (5.8k citations), Ecology, Evolution, Behavior and Systematics (826 citations), Paleontology (418 citations), Mathematical Physics (372 citations) and Molecular Biology (1.1k citations). John Wakeley has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rasmus Nielsen, Jody Hey, Bjarki Eldon, Michael P. Cummings, Sarah Perin Otto, Joseph B. Slowinski, Brian S. Arbogast, Scott V. Edwards, Peter Beerli and Igor M. Rouzine. Their work appears in journals such as Genetics, Theoretical Population Biology, Molecular Biology and Evolution, Proceedings of the National Academy of Sciences and Evolution.

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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