D.J. Benton
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 7
- SARS-CoV-2 and COVID-19 Research 7
-
- Animal Virus Infections Studies 5
- Co-authors
- S.J. GamblinStephen R. MartinJ.J. SkehelPeter B. RosenthalChloë RoustanAntoni G. WrobelPengqi XuJohn W. McCauley
- Journals
- Nature Communications (5 papers)Journal of Virology (4 papers)PLoS Pathogens (2 papers)Nature Structural & Molecular Biology (2 papers)Nature (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
D.J. Benton
22 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Infectious Diseases 1.2k
- Animal Science and Zoology 229
- Epidemiology 463
- Structural Biology 16
- Agronomy and Crop Science 109
Countries citing papers authored by D.J. Benton
This map shows the geographic impact of D.J. Benton'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 D.J. Benton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.J. Benton more than expected).
Fields of papers citing papers by D.J. Benton
This network shows the impact of papers produced by D.J. Benton. 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 D.J. Benton. The network helps show where D.J. Benton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D.J. Benton, 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 | 2024 | 5 | |
| 2 | 2023 | 32 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 50 | |
| 5 | 2021 | 43 | |
| 6 | 2021 | 102 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 325 | |
| 10 | Receptor binding and priming of the spike protein of SARS-CoV-2 for membrane fusion Hit paper breakdown → | 2020 | 514 |
| 11 | 2020 | 106 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 96 | |
| 14 | 2017 | 99 | |
| 15 | 2017 | 36 | |
| 16 | 2017 | 61 | |
| 17 | 2016 | 52 | |
| 18 | 2016 | 23 | |
| 19 | 2015 | 46 | |
| 20 | 2014 | 44 |
About D.J. Benton
D.J. Benton is a scholar working on Infectious Diseases, Animal Science and Zoology, Agronomy and Crop Science, Epidemiology and Virology, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Viral gastroenteritis research and epidemiology (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Respiratory viral infections research (5 papers), Animal Virus Infections Studies (5 papers), Bacteriophages and microbial interactions (3 papers), Animal Disease Management and Epidemiology (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Animal Science and Zoology (229 citations), Epidemiology (463 citations), Structural Biology (16 citations) and Agronomy and Crop Science (109 citations). D.J. Benton has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include S.J. Gamblin, Stephen R. Martin, J.J. Skehel, Peter B. Rosenthal, Chloë Roustan, Antoni G. Wrobel, Pengqi Xu, John W. McCauley, Munir Iqbal and Stephen A. Wharton. Their work appears in journals such as Nature Communications, Journal of Virology, PLoS Pathogens, Nature Structural & Molecular Biology and Nature.
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.