Ross D. Booton
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- HIV, Drug Use, Sexual Risk 5
- Genetics 5
- Insect and Arachnid Ecology and Behavior 4
- Co-authors
- Katy Turner (9 shared papers)Yoh Iwasa (4 shared papers)James A. R. Marshall (2 shared papers)Dylan Z. Childs (3 shared papers)Katharine J Looker (2 shared papers)Hannah Christensen (2 shared papers)Ekkehard Beck (1 shared paper)Richard M. Wood (4 shared papers)
- Journals
- Journal of Theoretical Biology (3 papers)BMJ Open (2 papers)One Health (1 paper)HIV Medicine (1 paper)Journal of the International AIDS Society (1 paper)
- Partner nations
- United KingdomJapanAustralia
In The Last Decade
Ross D. Booton
21 papers receiving 270 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 36
- Applied Microbiology and Biotechnology 15
- Insect Science 44
- Microbiology 22
- Molecular Medicine 13
Countries citing papers authored by Ross D. Booton
This map shows the geographic impact of Ross D. Booton'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 Ross D. Booton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross D. Booton more than expected).
Fields of papers citing papers by Ross D. Booton
This network shows the impact of papers produced by Ross D. Booton. 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 Ross D. Booton. The network helps show where Ross D. Booton may publish in the future.
Co-authors
The 25 scholars most cited alongside Ross D. Booton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 52 | |
| 2 | 2017 | 39 | |
| 3 | 2015 | 35 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2018 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2019 | 1 |
About Ross D. Booton
Ross D. Booton is a scholar working on Epidemiology, Genetics, Modeling and Simulation, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 21 papers that have together received 273 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (5 papers), COVID-19 epidemiological studies (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Plant and animal studies (4 papers), HIV/AIDS Research and Interventions (3 papers), Adolescent Sexual and Reproductive Health (3 papers), Insect and Pesticide Research (3 papers) and Reproductive tract infections research (3 papers). The work is most often cited by research in Modeling and Simulation (36 citations), Applied Microbiology and Biotechnology (15 citations), Insect Science (44 citations), Microbiology (22 citations) and Molecular Medicine (13 citations). Ross D. Booton has collaborated with scholars based in United Kingdom, Japan and Australia. Frequent co-authors include Katy Turner, Yoh Iwasa, James A. R. Marshall, Dylan Z. Childs, Katharine J Looker, Hannah Christensen, Ekkehard Beck, Richard M. Wood, Louis MacGregor and Joseph D. Tucker. Their work appears in journals such as Journal of Theoretical Biology, BMJ Open, One Health, HIV Medicine and Journal of the International AIDS Society.
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.