Will Nash
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
- Genomic variations and chromosomal abnormalities
- Insect Science top 10%
- Insect behavior and control techniques
Papers in ⓘ
- Genetics 6
- Genetic diversity and population structure 2
- Animal Genetics and Reproduction 2
-
- Animal Behavior and Reproduction 2
- Plant and animal studies 2
- Co-authors
- Tracey Chapman (4 shared papers)William J. Murphy (1 shared paper)Marilyn Menotti‐Raymond (1 shared paper)Stephen J. O’Brien (1 shared paper)Roscoe Stanyon (1 shared paper)Johannes Wienberg (1 shared paper)Jennifer A. Marshall Graves (1 shared paper)Takis S. Papas (1 shared paper)
- Journals
- Evolution (3 papers)Scientific Reports (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)Molecular Biology and Evolution (1 paper)Ecological Entomology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Will Nash
12 papers receiving 506 citations
Peers
Comparison fields: 5 of 82
- Genetics 241
- Insect Science 80
- Molecular Biology 306
- Plant Science 133
- Paleontology 16
Countries citing papers authored by Will Nash
This map shows the geographic impact of Will Nash'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 Will Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Nash more than expected).
Fields of papers citing papers by Will Nash
This network shows the impact of papers produced by Will Nash. 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 Will Nash. The network helps show where Will Nash may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Nash, 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 | 1999 | 306 | |
| 2 | 1986 | 106 | |
| 3 | 2014 | 55 | |
| 4 | 2016 | 19 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2022 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2023 | 0 |
About Will Nash
Will Nash is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Ecology, Insect Science and Molecular Biology, having authored 15 papers that have together received 525 indexed citations. Recurring topics across this work include Insect behavior and control techniques (4 papers), Insect-Plant Interactions and Control (2 papers), Animal Behavior and Reproduction (2 papers), Genetic diversity and population structure (2 papers), Plant and animal studies (2 papers), Animal Genetics and Reproduction (2 papers), MicroRNA in disease regulation (1 paper) and Mental Health and Psychiatry (1 paper). The work is most often cited by research in Genetics (241 citations), Insect Science (80 citations), Molecular Biology (306 citations), Plant Science (133 citations) and Paleontology (16 citations). Will Nash has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Tracey Chapman, William J. Murphy, Marilyn Menotti‐Raymond, Stephen J. O’Brien, Roscoe Stanyon, Johannes Wienberg, Jennifer A. Marshall Graves, Takis S. Papas, D K Watson and J D Gearhart. Their work appears in journals such as Evolution, Scientific Reports, Proceedings of the Royal Society B Biological Sciences, Molecular Biology and Evolution and Ecological Entomology.
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.