Michael C. Whitlock

24.5k citations
124 papers · 17.0k · 10 hit papers · h-index 58

Impact in

  • Genetics top 0.02%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Species Distribution and Climate Change

Papers in

    • Evolution and Genetic Dynamics 63
    • Genetic diversity and population structure 62
    • Genetic and phenotypic traits in livestock 24
    • Genetic Mapping and Diversity in Plants and Animals 23
    • Animal Behavior and Reproduction 24
    • Plant and animal studies 24

Michael C. Whitlock

123 papers receiving 16.5k citations

Michael C. Whitlock's Hit Papers

Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions 2016 · 554 citations
5540+9+18Years since publication50010001.5k

Peers

Michael C. Whitlock
Comparison fields: 5 of 176
  • Genetics 11.1k
  • Ecological Modeling 1.4k
  • Ecology, Evolution, Behavior and Systematics 4.6k
  • Nature and Landscape Conservation 2.7k
  • Ecology 4.0k
Replace Mark Kirkpatrick with:
Mark Kirkpatrick United States
Ziheng Yang United Kingdom
Paul M. Brakefield Netherlands
Hopi E. Hoekstra United States
Thomas D. Kocher United States
Emmanuel Paradis France
Massimo Pigliucci United States
Jerry A. Coyne United States
Thomas F. Hansen Norway
Wayne P. Maddison Canada
Michael C. Whitlock relative to Mark Kirkpatrick United States Mark Kirkpatrick's profile →
Citations per field
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Mark Kirkpatrick · 1×
Citations per year

Countries citing papers authored by Michael C. Whitlock

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Whitlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Whitlock. 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 Michael C. Whitlock. The network helps show where Michael C. Whitlock may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael C. Whitlock, 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 Michael C. Whitlock Line = papers co-authored together Michael C. Whitlock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The incomplete natural history of mitochondria
Hit paper breakdown →
20031762
2
Indirect measures of gene flow and migration: FST≠1/(4Nm+1)
Hit paper breakdown →
19991295
3
Assisted Gene Flow to Facilitate Local Adaptation to Climate Change
Hit paper breakdown →
2013709
4
Combining probability from independent tests: the weighted Z ‐method is superior to Fisher's approach
Hit paper breakdown →
2005570
5
Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions
Hit paper breakdown →
2016554
6
Experimental evolution
Hit paper breakdown →
2012543
7 2003495
8
THE GENETIC ARCHITECTURE OF ADAPTATION UNDER MIGRATION-SELECTION BALANCE
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2011442
9
Evaluation of demographic history and neutral parameterization on the performance of FST outlier tests
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2014412
10 1997410
11 1990401
12
The relative power of genome scans to detect local adaptation depends on sampling design and statistical method
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2015393
13
Reliable Detection of Loci Responsible for Local Adaptation: Inference of a Null Model through Trimming the Distribution of F ST
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2015379
14 1995374
15 2003356
16 2008320
17 1996290
18 2000274
19 2003259
20 2011251

About Michael C. Whitlock

Michael C. Whitlock is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Sociology and Political Science, Molecular Biology and Ecology, having authored 124 papers that have together received 17.0k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (63 papers), Genetic diversity and population structure (62 papers), Genetic and phenotypic traits in livestock (24 papers), Animal Behavior and Reproduction (24 papers), Plant and animal studies (24 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers), Evolutionary Game Theory and Cooperation (13 papers) and Species Distribution and Climate Change (8 papers). The work is most often cited by research in Genetics (11.1k citations), Ecological Modeling (1.4k citations), Ecology, Evolution, Behavior and Systematics (4.6k citations), Nature and Landscape Conservation (2.7k citations) and Ecology (4.0k citations). Michael C. Whitlock has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David E. McCauley, J. William O. Ballard, Katie E. Lotterhos, Sally N. Aitken, Kevin Fowler, Sam Yeaman, Aneil F. Agrawal, Patrick C. Phillips, Nick Barton and Jinliang Wang. Their work appears in journals such as Evolution, Genetics, The American Naturalist, Journal of Evolutionary Biology and Heredity.

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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