Simon Cottrell

10.0k citations
44 papers · 1.7k · 1 hit paper · h-index 16

Impact in

Papers in

    • Influenza Virus Research Studies 15
    • Respiratory viral infections research 11
    • Virology and Viral Diseases 4
    • Vaccine Coverage and Hesitancy 16

Simon Cottrell

41 papers receiving 1.6k citations

Simon Cottrell's Hit Papers

Effectiveness of the Pfizer-BioNTech and Oxford-AstraZeneca vaccines on covid-19 related symptoms, hospital admissions, and mortality in older adults in England: test negative case-control study 2021 · 755 citations
7550+1+3Years since publication250500750

Peers

Simon Cottrell
Comparison fields: 5 of 105
  • Modeling and Simulation 242
  • Health 391
  • Infectious Diseases 644
  • Epidemiology 629
  • Immunology 85
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Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by Simon Cottrell

Since Specialization
Citations

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

Fields of papers citing papers by Simon Cottrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effectiveness of the Pfizer-BioNTech and Oxford-AstraZeneca vaccines on covid-19 related symptoms, hospital admissions, and mortality in older adults in England: test negative case-control study
Hit paper breakdown →
2021755
2 2013119
3 2016100
4 201571
5 201761
6 200561
7 202160
8 201451
9 201246
10 201444
11 201130
12 201325
13 202025
14 201724
15 201819
16 202119
17 201915
18 201815
19 202115
20 201613

About Simon Cottrell

Simon Cottrell is a scholar working on Epidemiology, Health, Infectious Diseases, General Health Professions and Physiology, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (16 papers), Influenza Virus Research Studies (15 papers), Respiratory viral infections research (11 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Virology and Viral Diseases (4 papers), COVID-19 epidemiological studies (4 papers), Animal Disease Management and Epidemiology (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (242 citations), Health (391 citations), Infectious Diseases (644 citations), Epidemiology (629 citations) and Immunology (85 citations). Simon Cottrell has collaborated with scholars based in United Kingdom, France and Ireland. Frequent co-authors include Jim McMenamin, Nick Andrews, Richard J. Roberts, Chris Robertson, Kevin Brown, Mary Ramsay, Mark G. O’Doherty, Charlotte Gower, Diane Stockton and Ruth Simmons. Their work appears in journals such as Eurosurveillance, Vaccine, Influenza and Other Respiratory Viruses, Human Vaccines & Immunotherapeutics and 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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