David T. Ashton

23 total papers · 504 total citations
11 papers, 314 citations indexed

About

David T. Ashton is a scholar working on Aquatic Science, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, David T. Ashton has authored 11 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Aquatic Science, 6 papers in Genetics and 5 papers in Nature and Landscape Conservation. Recurrent topics in David T. Ashton's work include Aquaculture Nutrition and Growth (6 papers), Genetic and phenotypic traits in livestock (6 papers) and Fish Ecology and Management Studies (5 papers). David T. Ashton is often cited by papers focused on Aquaculture Nutrition and Growth (6 papers), Genetic and phenotypic traits in livestock (6 papers) and Fish Ecology and Management Studies (5 papers). David T. Ashton collaborates with scholars based in New Zealand, Sweden and Germany. David T. Ashton's co-authors include Maren Wellenreuther, Peter A. Ritchie, Nina Overgaard Therkildsen, Louis Bernatchez, Ruth E. Withler, Gregory E. Maes, Kristina M. Miller, Cristián Araneda, Julia M. I. Barth and Terry D. Beacham and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Ecology & Evolution and Molecular Ecology.

In The Last Decade

David T. Ashton

11 papers receiving 313 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David T. Ashton 180 107 102 95 87 11 314
T. F. Cross 179 1.0× 73 0.7× 171 1.7× 88 0.9× 85 1.0× 13 319
Avril M. Harder 85 0.5× 41 0.4× 96 0.9× 52 0.5× 114 1.3× 15 278
Paul B. Aebersold 248 1.4× 67 0.6× 217 2.1× 66 0.7× 72 0.8× 7 338
K. Janine Supernault 214 1.2× 64 0.6× 250 2.5× 47 0.5× 111 1.3× 14 354
R K Jana 135 0.8× 69 0.6× 134 1.3× 250 2.6× 39 0.4× 13 346
Maëva Leitwein 257 1.4× 100 0.9× 164 1.6× 60 0.6× 66 0.8× 16 349
Martin Prchal 202 1.1× 26 0.2× 78 0.8× 185 1.9× 49 0.6× 21 332
Daniel J. Prince 178 1.0× 47 0.4× 190 1.9× 27 0.3× 116 1.3× 9 309
Marion Sinclair‐Waters 189 1.1× 74 0.7× 176 1.7× 55 0.6× 82 0.9× 14 339
Lilian Pukk 116 0.6× 92 0.9× 119 1.2× 40 0.4× 152 1.7× 16 319

Countries citing papers authored by David T. Ashton

Since Specialization
Citations

This map shows the geographic impact of David T. Ashton'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 David T. Ashton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Ashton more than expected).

Fields of papers citing papers by David T. Ashton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Ashton. 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 David T. Ashton. The network helps show where David T. Ashton may publish in the future.

Co-authorship network of co-authors of David T. Ashton

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Ashton. A scholar is included among the top collaborators of David T. Ashton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David T. Ashton. David T. Ashton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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