Kevin Paddon
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 4
- Health 3
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Peter M. Baker (1 shared paper)Helen Eagleton (1 shared paper)David M. Keeling (1 shared paper)Stuart Cox (1 shared paper)Alexander Mentzer (1 shared paper)Tim J. James (1 shared paper)Jordan S. T. Bowen (1 shared paper)Julian Charles Knight (1 shared paper)
- Journals
- Nature Communications (5 papers)British Journal of Haematology (1 paper)Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)Journal of Infection (1 paper)
- Partner nations
- United KingdomAustraliaChina
In The Last Decade
Kevin Paddon
15 papers receiving 992 citations
Kevin Paddon's Hit Papers
Peers
Comparison fields: 5 of 77
- Infectious Diseases 726
- Modeling and Simulation 122
- Health 66
- Neurology 62
- Animal Science and Zoology 41
Countries citing papers authored by Kevin Paddon
This map shows the geographic impact of Kevin Paddon'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 Kevin Paddon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Paddon more than expected).
Fields of papers citing papers by Kevin Paddon
This network shows the impact of papers produced by Kevin Paddon. 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 Kevin Paddon. The network helps show where Kevin Paddon may publish in the future.
Co-authors
The 20 scholars most cited alongside Kevin Paddon, 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 | 2020 | 281 | |
| 2 | 2021 | 226 | |
| 3 | Antibody responses and correlates of protection in the general population after two doses of the ChAdOx1 or BNT162b2 vaccines Hit paper breakdown → | 2022 | 158 |
| 4 | 2020 | 124 | |
| 5 | 2021 | 84 | |
| 6 | 2024 | 36 | |
| 7 | 2021 | 30 | |
| 8 | 2006 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 6 | |
| 12 | The Oxford clinical intranet: providing clinicians with access to patient records and multiple knowledge bases with internet technology. | 2004 | 5 |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 |
About Kevin Paddon
Kevin Paddon is a scholar working on Infectious Diseases, Health, Modeling and Simulation, Geriatrics and Gerontology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (4 papers), Vaccine Coverage and Hesitancy (3 papers), COVID-19 epidemiological studies (2 papers), Poisoning and overdose treatments (1 paper), Electronic Health Records Systems (1 paper) and Healthcare Systems and Challenges (1 paper). The work is most often cited by research in Infectious Diseases (726 citations), Modeling and Simulation (122 citations), Health (66 citations), Neurology (62 citations) and Animal Science and Zoology (41 citations). Kevin Paddon has collaborated with scholars based in United Kingdom, Australia and China. Frequent co-authors include Peter M. Baker, Helen Eagleton, David M. Keeling, Stuart Cox, Alexander Mentzer, Tim J. James, Jordan S. T. Bowen, Julian Charles Knight, James N. Fullerton and Jonathan D.S. Kay. Their work appears in journals such as Nature Communications, British Journal of Haematology, Clinical Infectious Diseases, Scientific Reports and Journal of Infection.
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.