Montgomery Slatkin

75.2k citations
229 papers · 39.1k indexed · 21 hit papers · h-index 81
Topics
Evolution and Genetic Dynamics (80 papers)Genetic diversity and population structure (66 papers)Genetic Mapping and Diversity in Plants and Animals (50 papers)

In The Last Decade

Montgomery Slatkin

227 papers receiving 36.8k citations

Hit Papers

Gene Flow and the Geographic Structure of Natural Populat...19732026199020081987199519931991199510002.0k3.0k

Peers

Montgomery Slatkin
Comparison fields: 5 of 198
  • Genetics 24.7k
  • Ecology 9.6k
  • Ecology, Evolution, Behavior and Systematics 8.9k
  • Molecular Biology 8.7k
  • Plant Science 5.8k
Replace Alan R. Templeton with:
Alan R. Templeton United States
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Montgomery Slatkin relative to Alan R. Templeton United States Alan R. Templeton's profile →
Citations per field
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Alan R. Templeton · 1×
Citations per year

Countries citing papers authored by Montgomery Slatkin

Since Specialization
Citations

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

Fields of papers citing papers by Montgomery Slatkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Montgomery Slatkin

This figure shows the co-authorship network connecting the top 25 collaborators of Montgomery Slatkin. A scholar is included among the top collaborators of Montgomery Slatkin 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 Montgomery Slatkin. Montgomery Slatkin 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
#WorkIndexed citations
1 0
2 13
3 37
4 4
5 4
6 5
7 164
8 139
9 26
10 60
11 134
12 185
13 3
14
Modern developments in theoretical population genetics : the legacy of Gustave Malécot
26
15 46
16 86
17
Exploring evolutionary biology : readings from American scientist
3
18
Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population.breakdown →
1595
19 32
20 41

About Montgomery Slatkin

Montgomery Slatkin is a scholar working on Genetics, Paleontology and Ecology, Evolution, Behavior and Systematics, having authored 229 papers that have together received 39.1k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (80 papers), Genetic diversity and population structure (66 papers) and Genetic Mapping and Diversity in Plants and Animals (50 papers). The work is most often cited by research in Genetics (24.7k citations), Ecological Modeling (2.0k citations) and Ecology, Evolution, Behavior and Systematics (8.9k citations). Montgomery Slatkin has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include R R Hudson, Laurent Excoffier, Wayne P. Maddison, Nick Barton, Nelson B. Freimer, Raymond B. Huey, Ana M. Valdes, Russell Lande, Éric Durand and Amy Peterson. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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