Matthew W. Hahn
- Genetics top 0.05%
- Molecular Biology top 0.5%
- Plant Science top 0.2%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Ecology top 1%
- Co-authors
- Nello CristianiniTijl De BieTami CruickshankJeffery P. DemuthMira HanJames B. PeaseThomas L. TurnerFábio K. Mendes
- Topics
- Genetic diversity and population structure (68 papers)Genomics and Phylogenetic Studies (62 papers)Chromosomal and Genetic Variations (37 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Matthew W. Hahn
163 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Genetics 7.7k
- Molecular Biology 7.4k
- Plant Science 3.9k
- Ecology, Evolution, Behavior and Systematics 2.6k
- Ecology 1.5k
Countries citing papers authored by Matthew W. Hahn
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
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 of co-authors of Matthew W. Hahn
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Hahn. A scholar is included among the top collaborators of Matthew W. Hahn 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 Matthew W. Hahn. Matthew W. Hahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 29 | |
| 4 | 47 | |
| 5 | 4 | |
| 6 | New Methods to Calculate Concordance Factors for Phylogenomic Datasetsbreakdown → | 411 |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 29 | |
| 10 | 28 | |
| 11 | 37 | |
| 12 | 54 | |
| 13 | 39 | |
| 14 | 35 | |
| 15 | 56 | |
| 16 | How reticulated are species?breakdown → | 397 |
| 17 | 190 | |
| 18 | Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flowbreakdown → | 749 |
| 19 | 40 | |
| 20 | 44 |
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) and Chromosomal and Genetic Variations (37 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.