Will Nash

3.7k citations
15 papers · 560 · h-index 7

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 behavior and control techniques

Papers in

    • Genetic diversity and population structure 2
    • Animal Genetics and Reproduction 2
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
    • Plant and animal studies 2
    • Animal Behavior and Reproduction 2

Will Nash

12 papers receiving 534 citations

Peers

Will Nash
Comparison fields: 5 of 85
  • Genetics 248
  • Insect Science 85
  • Molecular Biology 304
  • Plant Science 133
  • Paleontology 16
Replace Daniel Hughes with:
Daniel Hughes United States
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Benjamin H. Krinsky United States
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Citations per field
00.5×1.5×2.2×
Daniel Hughes · 1×
Citations per year

Countries citing papers authored by Will Nash

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Will Nash Line = papers co-authored together Will Nash links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1999328
2 1986109
3 201458
4 201620
5 202213
6 202112
7 20196
8 20225
9 20184
10 20252
11 20222
12 20241
13 20250
14 20250
15 20230

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 560 indexed citations. Recurring topics across this work include Insect behavior and control techniques (4 papers), Genetic diversity and population structure (2 papers), Animal Genetics and Reproduction (2 papers), Plant and animal studies (2 papers), Animal Behavior and Reproduction (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Marine Biology and Ecology Research (1 paper) and Insect Utilization and Effects (1 paper). The work is most often cited by research in Genetics (248 citations), Insect Science (85 citations), Molecular Biology (304 citations), Plant Science (133 citations) and Paleontology (16 citations). Will Nash has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Tracey Chapman, Stephen J. O’Brien, Roscoe Stanyon, Jennifer A. Marshall Graves, Johannes Wienberg, Marilyn Menotti‐Raymond, William J. Murphy, D K Watson, Christine A. Kozak and Takis S. Papas. Their work appears in journals such as Evolution, Methods in Ecology and Evolution, PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Scientific Reports.

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.

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