Angus Thomson

33 papers receiving 800 citations

Angus Thomson's Hit Papers

The 5As: A practical taxonomy for the determinants of vaccine uptake 2015 · 307 citations
3070+3+7Years since publication100200300

Peers

Angus Thomson
Comparison fields: 5 of 80
  • Health 629
  • Modeling and Simulation 130
  • Infectious Diseases 257
  • Epidemiology 364
  • Microbiology 43
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Robb Butler Denmark
Zhuoying Huang China
Wilhelmina L.M. Ruijs Netherlands
P E Fine United Kingdom
Melanie Marti Switzerland
Cristina Giambi Italy
DL Heymann United Kingdom
M. Patricia deHart United States
Susan B. Redd United States
Paul Corben Australia
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Countries citing papers authored by Angus Thomson

Since Specialization
Citations

This map shows the geographic impact of Angus Thomson'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 Angus Thomson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angus Thomson more than expected).

Fields of papers citing papers by Angus Thomson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angus Thomson. 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 Angus Thomson. The network helps show where Angus Thomson may publish in the future.

Co-authors

The 25 scholars most cited alongside Angus Thomson, 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 Angus Thomson Line = papers co-authored together Angus Thomson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The 5As: A practical taxonomy for the determinants of vaccine uptake
Hit paper breakdown →
2015307
2 201369
3 197458
4 201448
5 201646
6 201334
7 201827
8 201723
9 201923
10 202121
11 201621
12 201820
13 202017
14 201817
15 201015
16 196915
17 202111
18 202311
19 195210
20
Socio-Psychological Factors Driving Adult Vaccination: A Qualitative Study (vol 9, e113503, 2014)
20158

About Angus Thomson

Angus Thomson is a scholar working on Health, Epidemiology, Sociology and Political Science, Infectious Diseases and Modeling and Simulation, having authored 34 papers that have together received 844 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (29 papers), Influenza Virus Research Studies (15 papers), Misinformation and Its Impacts (10 papers), COVID-19 epidemiological studies (7 papers), Psychology of Moral and Emotional Judgment (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Bacterial Infections and Vaccines (3 papers) and Diphtheria, Corynebacterium, and Tetanus (2 papers). The work is most often cited by research in Health (629 citations), Modeling and Simulation (130 citations), Infectious Diseases (257 citations), Epidemiology (364 citations) and Microbiology (43 citations). Angus Thomson has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Gaëlle Vallée-Tourangeau, Nick Sevdalis, Ana Wheelock, Marisa Miraldo, Charles Vincent, Michael Watson, John S. Brownstein, Anam Parand, Lawrence C. Madoff and Melissa Cumming. Their work appears in journals such as Vaccine, Veterinary Record, Human Vaccines & Immunotherapeutics, European Journal of Public Health and Expert Review of Vaccines.

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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