John Boyes
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- SARS-CoV-2 detection and testing 1
-
- COVID-19 epidemiological studies 1
- Co-authors
- Ahmed Hamouda (1 shared paper)Sebastian G.B. Amyes (1 shared paper)Matthew Hickman (1 shared paper)Ranya Mulchandani (1 shared paper)Peter Kirwan (1 shared paper)Richard Stewart (1 shared paper)Neil J. Todd (1 shared paper)André Charlett (1 shared paper)
- Journals
- Nature (2 papers)Nature Communications (2 papers)Journal of Infection (2 papers)The Lancet Public Health (1 paper)Cell Reports (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
John Boyes
10 papers receiving 2.7k citations
John Boyes's Hit Papers
Peers
Comparison fields: 5 of 89
- Infectious Diseases 2.4k
- Modeling and Simulation 140
- Genetics 85
- General Dentistry 1
- Neurology 30
Countries citing papers authored by John Boyes
This map shows the geographic impact of John Boyes'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 John Boyes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Boyes more than expected).
Fields of papers citing papers by John Boyes
This network shows the impact of papers produced by John Boyes. 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 John Boyes. The network helps show where John Boyes may publish in the future.
Co-authors
The 16 scholars most cited alongside John Boyes, 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 | SARS-CoV-2 evolution during treatment of chronic infection Hit paper breakdown → | 2021 | 814 |
| 2 | 2020 | 756 | |
| 3 | Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies Hit paper breakdown → | 2021 | 530 |
| 4 | Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the Alpha variant B.1.1.7 Hit paper breakdown → | 2021 | 325 |
| 5 | 2021 | 228 | |
| 6 | 2022 | 31 | |
| 7 | 2011 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2011 | 1 |
About John Boyes
John Boyes is a scholar working on Infectious Diseases, Modeling and Simulation, Molecular Medicine, Public Health, Environmental and Occupational Health and Nuclear Energy and Engineering, having authored 10 papers that have together received 2.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Streptococcal Infections and Treatments (1 paper), SARS-CoV-2 detection and testing (1 paper), Antibiotic Resistance in Bacteria (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (2.4k citations), Modeling and Simulation (140 citations), Genetics (85 citations), General Dentistry (1 citation) and Neurology (30 citations). John Boyes has collaborated with scholars based in United Kingdom. Frequent co-authors include Ahmed Hamouda, Sebastian G.B. Amyes, Matthew Hickman, Ranya Mulchandani, Peter Kirwan, Richard Stewart, Neil J. Todd, André Charlett, Isabel Oliver and Ian P. Reckless. Their work appears in journals such as Nature, Nature Communications, Journal of Infection, The Lancet Public Health and Cell 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.