Matthew W. Hahn

30.2k citations
170 papers · 14.7k indexed · 10 hit papers · h-index 61

Matthew W. Hahn

163 papers receiving 14.5k citations

Hit Papers

CAFE 5 models variation...39620052026201220192505007501000

Peers

Matthew W. Hahn
Comparison fields: 5 of 188
  • Genetics 7.7k
  • Ecology, Evolution, Behavior and Systematics 2.6k
  • Molecular Biology 7.4k
  • Plant Science 3.9k
  • Insect Science 1.1k
Replace Chung‐I Wu with:
Chung‐I Wu United States
Nicolas Galtier France
Antonis Rokas United States
Nick Goldman United Kingdom
Sarah P. Otto Canada
Petr Danecek United Kingdom
Charles F. Aquadro United States
Jody Hey United States
Dmitri A. Petrov United States
Carol J. Bult United States
Matthew W. Hahn relative to Chung‐I Wu United States Chung‐I Wu's profile →
Citations per field
00.5×4.8×
Chung‐I Wu · 1×
Citations per year

Countries citing papers authored by Matthew W. Hahn

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew W. Hahn. 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 Matthew W. Hahn. The network helps show where Matthew W. Hahn may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 202210
3 202229
4 202247
5 20214
6
New Methods to Calculate Concordance Factors for Phylogenomic Datasetsbreakdown →
2020411
7 20208
8 202010
9 201929
10 201928
11 201937
12 201854
13 201839
14 201635
15 201656
16
How reticulated are species?breakdown →
2015397
17 2015190
18
Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flowbreakdown →
2014749
19 201040
20 200444

About Matthew W. Hahn

Matthew W. Hahn is a scholar working on Genetics, Aging and Molecular Biology, having authored 170 papers that have together received 14.7k indexed citations. Recurring topics across this work include Genetic diversity and population structure (68 papers), Genomics and Phylogenetic Studies (62 papers), Chromosomal and Genetic Variations (37 papers), Evolution and Genetic Dynamics (36 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), RNA and protein synthesis mechanisms (11 papers), Malaria Research and Control (11 papers) and Insect Resistance and Genetics (11 papers). The work is most often cited by research in Genetics (7.7k citations), Ecology, Evolution, Behavior and Systematics (2.6k citations) and Molecular Biology (7.4k citations). Matthew W. Hahn has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nello Cristianini, Tijl De Bie, Tami Cruickshank, Jeffery P. Demuth, Mira Han, James B. Pease, Thomas L. Turner, Fábio K. Mendes, Daniel R. Schrider and Gregg W.C. Thomas. Their work appears in journals such as Science, New England Journal of Medicine 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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