Evolutionary Genomics (United States)
Impact in
- Genetics top 2%
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
- Paleontology top 2%
Papers in
- Paleontology 216
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- Plant and animal studies 281
- Animal Behavior and Reproduction 193
- Top scholars
- Koichiro TamuraSudhir KumarMartin A. NowakJoel T. DudleyM NeiDavid G. RandRichard O. PrumDakota E. McCoy
- Journals
- Molecular Biology and Evolution (82 papers)Philosophical Transactions of the Royal Society B Biological Sciences (76 papers)Scientific Reports (66 papers)Animal Behaviour (63 papers)Nature Communications (55 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Evolutionary Genomics (United States)
2.4k papers receiving 175.8k citations
Peers
Comparison fields: 5 of 245
- Genetics 38.2k
- Paleontology 9.9k
- Ecology, Evolution, Behavior and Systematics 25.7k
- Ecological Modeling 5.2k
- Ecology 27.8k
Countries citing scholars working at Evolutionary Genomics (United States)
This map shows the geographic impact of research produced by authors working at Evolutionary Genomics (United States). 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 papers produced at Evolutionary Genomics (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evolutionary Genomics (United States) more than expected).
Fields of papers published by authors at Evolutionary Genomics (United States)
This network shows the impact of papers affiliated with Evolutionary Genomics (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Evolutionary Genomics (United States) at the time of their publication.
About Evolutionary Genomics (United States)
In recent decades, authors affiliated with Evolutionary Genomics (United States) have published 2.7k papers, which have received a total of 183.5k indexed citations . Scholars at this organization have produced 216 papers in Paleontology, 546 papers in Ecology, Evolution, Behavior and Systematics, 58 papers in Developmental Biology, 696 papers in Genetics and 88 papers in Ecological Modeling on the topics of Plant and animal studies (281 papers), Evolutionary Game Theory and Cooperation (222 papers), Genetic diversity and population structure (218 papers), Evolution and Genetic Dynamics (215 papers), Animal Behavior and Reproduction (193 papers), Genomics and Phylogenetic Studies (173 papers), Primate Behavior and Ecology (136 papers) and Ecology and Vegetation Dynamics Studies (128 papers). Their work is cited by papers focused on Genetics (38.2k citations), Paleontology (9.9k citations), Ecology, Evolution, Behavior and Systematics (25.7k citations), Ecological Modeling (5.2k citations) and Ecology (27.8k citations). Authors at Evolutionary Genomics (United States) collaborate with scholars in United States, United Kingdom and France and have published in prestigious journals including Molecular Biology and Evolution, Philosophical Transactions of the Royal Society B Biological Sciences, Scientific Reports, Animal Behaviour and Nature Communications. Some of Evolutionary Genomics (United States)'s most productive authors include Koichiro Tamura, Sudhir Kumar, Martin A. Nowak, Joel T. Dudley, M Nei, David G. Rand, Richard O. Prum, Dakota E. McCoy, Teresa J. Feo and Todd Alan Harvey.
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.