Nick Barton
- Genetics top 0.01%
- Evolution and Genetic Dynamics 138
- Genetic diversity and population structure 109
- Genetic Mapping and Diversity in Plants and Animals 61
- Genetic and phenotypic traits in livestock 23
-
- Plant and animal studies 37
- Animal Behavior and Reproduction 23
- Ecological Modeling top 0.2%
- Nature and Landscape Conservation top 0.2%
- Aging top 0.5%
-
- Evolutionary Game Theory and Cooperation 31
-
- Mathematical and Theoretical Epidemiology and Ecology Models 21
- Co-authors
- Michael TurelliMontgomery SlatkinMark KirkpatrickJerry A. CoyneBrian CharlesworthG. M. HewittJacek M. SzymuraLinda Partridge
- Partner nations
- United KingdomAustriaUnited States
In The Last Decade
Nick Barton
247 papers receiving 25.9k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Genetics 19.3k
- Ecology, Evolution, Behavior and Systematics 9.1k
- Ecological Modeling 1.4k
- Nature and Landscape Conservation 3.5k
- Aging 462
Countries citing papers authored by Nick Barton
This map shows the geographic impact of Nick Barton'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 Nick Barton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Barton more than expected).
Fields of papers citing papers by Nick Barton
This network shows the impact of papers produced by Nick Barton. 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 Nick Barton. The network helps show where Nick Barton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nick Barton, 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 | 2025 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 59 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 50 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 51 | |
| 10 | 2018 | 24 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 23 | |
| 13 | 2017 | 40 | |
| 14 | 2017 | 142 | |
| 15 | 2015 | 157 | |
| 16 | 2015 | 35 | |
| 17 | 2011 | 67 | |
| 18 | Chromosome Inversions, Local Adaptation and Speciationbreakdown → | 2005 | 820 |
| 19 | 2004 | 186 | |
| 20 | 2004 | 62 |
About Nick Barton
Nick Barton is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Aging, Nature and Landscape Conservation and Ecology, having authored 251 papers that have together received 26.9k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (138 papers), Genetic diversity and population structure (109 papers), Genetic Mapping and Diversity in Plants and Animals (61 papers), Plant and animal studies (37 papers), Evolutionary Game Theory and Cooperation (31 papers), Animal Behavior and Reproduction (23 papers), Genetic and phenotypic traits in livestock (23 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (21 papers). The work is most often cited by research in Genetics (19.3k citations), Ecology, Evolution, Behavior and Systematics (9.1k citations), Ecological Modeling (1.4k citations), Nature and Landscape Conservation (3.5k citations) and Aging (462 citations). Nick Barton has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Michael Turelli, Montgomery Slatkin, Mark Kirkpatrick, Jerry A. Coyne, Brian Charlesworth, G. M. Hewitt, Jacek M. Szymura, Linda Partridge, Arcadi Navarro and James Mallet. Their work appears in journals such as Evolution, Genetics, Heredity, Genetics Research and Theoretical Population 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.