William Barclay
Impact in
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Epidemiology top 0.2%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 42
- COVID-19 Clinical Research Studies 29
- Viral gastroenteritis research and epidemiology 21
- Co-authors
- Jason S. LongThomas P. PeacockOlivier MoncorgéBhakti MistryMaria ZambonPaul KellamStuart M. HaslamHolly Shelton
- Journals
- Journal of Virology (32 papers)Journal of General Virology (21 papers)Nature Communications (13 papers)PLoS Pathogens (9 papers)Virology (8 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
William Barclay
200 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Infectious Diseases 5.5k
- Epidemiology 5.8k
- Modeling and Simulation 704
- Immunology 3.2k
- Agronomy and Crop Science 1.3k
Countries citing papers authored by William Barclay
This map shows the geographic impact of William Barclay'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 William Barclay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Barclay more than expected).
Fields of papers citing papers by William Barclay
This network shows the impact of papers produced by William Barclay. 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 William Barclay. The network helps show where William Barclay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Barclay, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 90 | |
| 10 | 2022 | 22 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 26 | |
| 13 | 2021 | 117 | |
| 14 | Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia Hit paper breakdown → | 2021 | 281 |
| 15 | 2020 | 177 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 107 | |
| 18 | 2020 | 31 | |
| 19 | 2020 | 31 | |
| 20 | 2016 | 66 |
About William Barclay
William Barclay is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Agronomy and Crop Science and Immunology, having authored 213 papers that have together received 12.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (114 papers), Respiratory viral infections research (70 papers), SARS-CoV-2 and COVID-19 Research (42 papers), interferon and immune responses (34 papers), Animal Disease Management and Epidemiology (32 papers), COVID-19 Clinical Research Studies (29 papers), RNA and protein synthesis mechanisms (22 papers) and Viral gastroenteritis research and epidemiology (21 papers). The work is most often cited by research in Infectious Diseases (5.5k citations), Epidemiology (5.8k citations), Modeling and Simulation (704 citations), Immunology (3.2k citations) and Agronomy and Crop Science (1.3k citations). William Barclay has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Jason S. Long, Thomas P. Peacock, Olivier Moncorgé, Bhakti Mistry, Maria Zambon, Paul Kellam, Stuart M. Haslam, Holly Shelton, Daniel H. Goldhill and Rebecca Penn. Their work appears in journals such as Journal of Virology, Journal of General Virology, Nature Communications, PLoS Pathogens and Virology.
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.