Ben Ashby
- Health, Toxicology and Mutagenesis top 2%
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- General Health Professions top 5%
- Sociology and Political Science top 5%
- Co-authors
- Richard BoydKristian SteeleSunetra GuptaAngus BucklingMike BootsKayla C. KingPaul RuysseveltAndrew Smith
- Topics
- Evolution and Genetic Dynamics (32 papers)Evolutionary Game Theory and Cooperation (18 papers)Mathematical and Theoretical Epidemiology and Ecology Models (18 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Ben Ashby
40 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Health, Toxicology and Mutagenesis 497
- Genetics 478
- Public Health, Environmental and Occupational Health 321
- General Health Professions 288
- Sociology and Political Science 275
Countries citing papers authored by Ben Ashby
This map shows the geographic impact of Ben Ashby'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 Ben Ashby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Ashby more than expected).
Fields of papers citing papers by Ben Ashby
This network shows the impact of papers produced by Ben Ashby. 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 Ben Ashby. The network helps show where Ben Ashby may publish in the future.
Co-authorship network of co-authors of Ben Ashby
This figure shows the co-authorship network connecting the top 25 collaborators of Ben Ashby. A scholar is included among the top collaborators of Ben Ashby 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 Ben Ashby. Ben Ashby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 50 | |
| 8 | 11 | |
| 9 | 38 | |
| 10 | 7 | |
| 11 | 41 | |
| 12 | Health care's response to climate change: a carbon footprint assessment of the NHS in Englandbreakdown → | 497 |
| 13 | 4 | |
| 14 | 30 | |
| 15 | 18 | |
| 16 | 6 | |
| 17 | 32 | |
| 18 | 16 | |
| 19 | 24 | |
| 20 | 23 |
About Ben Ashby
Ben Ashby is a scholar working on Modeling and Simulation, Genetics and Insect Science, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (32 papers), Evolutionary Game Theory and Cooperation (18 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (18 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (497 citations), Genetics (478 citations) and Modeling and Simulation (67 citations). Ben Ashby has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Richard Boyd, Kristian Steele, Sunetra Gupta, Angus Buckling, Mike Boots, Kayla C. King, Paul Ruyssevelt, Andrew Smith, Nicholas Watts and Matthew J. Eckelman. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.