Clinton R. Paden
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 10
- Viral gastroenteritis research and epidemiology 7
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 3
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 6
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- Cytomegalovirus and herpesvirus research 8
- Herpesvirus Infections and Treatments 6
- Respiratory viral infections research 3
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- Viral-associated cancers and disorders 8
- Co-authors
- Suxiang TongSamuel H. SpeckYing TaoJ. Craig ForrestKrista QueenYan LiAnna UeharaLarry J. Anderson
- Partner nations
- United StatesUnited Arab EmiratesAustralia
In The Last Decade
Clinton R. Paden
22 papers receiving 632 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Infectious Diseases 376
- Modeling and Simulation 55
- Animal Science and Zoology 100
- Epidemiology 247
- Oncology 153
Countries citing papers authored by Clinton R. Paden
This map shows the geographic impact of Clinton R. Paden'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 Clinton R. Paden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clinton R. Paden more than expected).
Fields of papers citing papers by Clinton R. Paden
This network shows the impact of papers produced by Clinton R. Paden. 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 Clinton R. Paden. The network helps show where Clinton R. Paden may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clinton R. Paden, 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 | 2025 | 0 | |
| 2 | 2024 | 15 | |
| 3 | Early Estimates of Updated 2023–2024 (Monovalent XBB.1.5) COVID-19 Vaccine Effectiveness Against Symptomatic SARS-CoV-2 Infection Attributable to Co-Circulating Omicron Variants Among Immunocompetent Adults — Increasing Community Access to Testing Program, United States, September 2023–January 2024breakdown → | 2024 | 80 |
| 4 | 2023 | 6 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 46 | |
| 8 | 2021 | 61 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 69 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 58 | |
| 13 | 2017 | 35 | |
| 14 | 2017 | 30 | |
| 15 | 2014 | 62 | |
| 16 | 2014 | 10 | |
| 17 | 2013 | 5 | |
| 18 | 2012 | 21 | |
| 19 | 2012 | 20 | |
| 20 | 2011 | 30 |
About Clinton R. Paden
Clinton R. Paden is a scholar working on Infectious Diseases, Modeling and Simulation and Animal Science and Zoology, having authored 23 papers that have together received 646 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Viral-associated cancers and disorders (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Herpesvirus Infections and Treatments (6 papers), Animal Virus Infections Studies (6 papers), COVID-19 epidemiological studies (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Infectious Diseases (376 citations), Modeling and Simulation (55 citations) and Animal Science and Zoology (100 citations). Clinton R. Paden has collaborated with scholars based in United States, United Arab Emirates and Australia. Frequent co-authors include Suxiang Tong, Samuel H. Speck, Ying Tao, J. Craig Forrest, Krista Queen, Yan Li, Anna Uehara, Larry J. Anderson, Samadhan Jadhao and Jing Zhang. Their work appears in journals such as PLoS ONE, Journal of Virology and Genome Research.
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.