Gregory B. Ewing
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic Associations and Epidemiology
Papers in
- Genetics 5
- Evolution and Genetic Dynamics 4
- Genetic diversity and population structure 3
- Genetic and phenotypic traits in livestock 1
- Genetic Mapping and Diversity in Plants and Animals 1
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- Genomics and Phylogenetic Studies 2
- Co-authors
- Joachim Hermisson (1 shared paper)Jeffrey D. Jensen (5 shared papers)Matthieu Foll (3 shared papers)Claudia Bank (2 shared papers)Arndt von Haeseler (1 shared paper)Ingo Ebersberger (1 shared paper)Heiko A. Schmidt (1 shared paper)Yu-Ping Poh (1 shared paper)
- Journals
- Molecular Ecology (2 papers)Bioinformatics (1 paper)Trends in Genetics (1 paper)Statistical Applications in Genetics and Molecular Biology (1 paper)BMC Evolutionary Biology (1 paper)
- Partner nations
- SwitzerlandAustriaDenmark
In The Last Decade
Gregory B. Ewing
8 papers receiving 631 citations
Peers
Comparison fields: 5 of 76
- Genetics 517
- Ecological Modeling 17
- Paleontology 26
- Molecular Biology 227
- Ecology, Evolution, Behavior and Systematics 49
Countries citing papers authored by Gregory B. Ewing
This map shows the geographic impact of Gregory B. Ewing'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 Gregory B. Ewing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory B. Ewing more than expected).
Fields of papers citing papers by Gregory B. Ewing
This network shows the impact of papers produced by Gregory B. Ewing. 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 Gregory B. Ewing. The network helps show where Gregory B. Ewing may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory B. Ewing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 252 | |
| 2 | 2015 | 123 | |
| 3 | 2014 | 94 | |
| 4 | 2014 | 90 | |
| 5 | 2008 | 50 | |
| 6 | 2015 | 18 | |
| 7 | 2015 | 8 | |
| 8 | 2017 | 6 |
About Gregory B. Ewing
Gregory B. Ewing is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Demography and Plant Science, having authored 8 papers that have together received 641 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (4 papers), Genetic diversity and population structure (3 papers), Genomics and Phylogenetic Studies (2 papers), Bayesian Methods and Mixture Models (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Genetics (517 citations), Ecological Modeling (17 citations), Paleontology (26 citations), Molecular Biology (227 citations) and Ecology, Evolution, Behavior and Systematics (49 citations). Gregory B. Ewing has collaborated with scholars based in Switzerland, Austria and Denmark. Frequent co-authors include Joachim Hermisson, Jeffrey D. Jensen, Matthieu Foll, Claudia Bank, Arndt von Haeseler, Ingo Ebersberger, Heiko A. Schmidt, Yu-Ping Poh, Ping Liu and Daniel R. Caffrey. Their work appears in journals such as Molecular Ecology, Bioinformatics, Trends in Genetics, Statistical Applications in Genetics and Molecular Biology and BMC Evolutionary Biology.
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.