William Barclay

31.2k citations
213 papers · 12.1k indexed · 6 hit papers · h-index 57

Impact in

    • 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

William Barclay

200 papers receiving 11.9k citations

Hit Papers

SARS-CoV-2 variant biology: immune escape, transmission and fitness 2023 · 682 citations
6822013202620172021200400600

Peers

William Barclay
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
Replace Ayato Takada with:
Ayato Takada Japan
Florian Krammer United States
Sylvie van der Werf France
Masato Tashiro Japan
Paul Kellam United Kingdom
Yi Shi China
Theo M. Bestebroer Netherlands
Robert B. Belshe United States
Terrence M. Tumpey United States
Derek J. Smith United Kingdom
William Barclay relative to Ayato Takada Japan Ayato Takada's profile →
Citations per field
00.5×1.5×2.5×
Ayato Takada · 1×
Citations per year

Countries citing papers authored by William Barclay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with William Barclay Line = papers co-authored together William Barclay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 202311
4 202314
5 20235
6 20229
7 20228
8 202222
9 202290
10 202222
11 202113
12 202126
13 2021117
14
Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia
Hit paper breakdown →
2021281
15 2020177
16 202011
17 2020107
18 202031
19 202031
20 201666

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.

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2026