Paddy Farrington

13.3k citations
143 papers · 8.4k · 5 hit papers · h-index 43

Impact in

Papers in

    • Virology and Viral Diseases 24
    • Influenza Virus Research Studies 24
    • Data-Driven Disease Surveillance 12
    • Vaccine Coverage and Hesitancy 34

Paddy Farrington

142 papers receiving 8.0k citations

Paddy Farrington's Hit Papers

Risks of deep vein thrombosis, pulmonary embolism, and bleeding after covid-19: nationwide self-controlled cases series and matched cohort study 2022 · 229 citations
2290+9+18Years since publication2505007501000

Peers

Paddy Farrington
Comparison fields: 5 of 177
  • Health 1.2k
  • Modeling and Simulation 651
  • Toxicology 352
  • Infectious Diseases 1.8k
  • Epidemiology 2.9k
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Citations per year

Countries citing papers authored by Paddy Farrington

Since Specialization
Citations

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

Fields of papers citing papers by Paddy Farrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Risk of Myocardial Infarction and Stroke after Acute Infection or Vaccination
Hit paper breakdown →
20041022
2
Tutorial in biostatistics: the self‐controlled case series method
Hit paper breakdown →
2005532
3
Autism and measles, mumps, and rubella vaccine: no epidemiological evidence for a causal association
Hit paper breakdown →
1999523
4
Risk of acute myocardial infarction and ischaemic stroke following COVID-19 in Sweden: a self-controlled case series and matched cohort study
Hit paper breakdown →
2021293
5 1996275
6 1995274
7 1995242
8 2011235
9
Risks of deep vein thrombosis, pulmonary embolism, and bleeding after covid-19: nationwide self-controlled cases series and matched cohort study
Hit paper breakdown →
2022229
10 1993203
11 2008166
12 1996164
13 1996164
14 2001143
15 2000142
16 2001140
17 1993138
18 2008112
19 2012111
20 1990109

About Paddy Farrington

Paddy Farrington is a scholar working on Epidemiology, Health, Infectious Diseases, Statistics and Probability and Modeling and Simulation, having authored 143 papers that have together received 8.4k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (34 papers), Virology and Viral Diseases (24 papers), Influenza Virus Research Studies (24 papers), Statistical Methods in Clinical Trials (18 papers), SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 epidemiological studies (16 papers), Data-Driven Disease Surveillance (12 papers) and Statistical Methods and Bayesian Inference (10 papers). The work is most often cited by research in Health (1.2k citations), Modeling and Simulation (651 citations), Toxicology (352 citations), Infectious Diseases (1.8k citations) and Epidemiology (2.9k citations). Paddy Farrington has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Heather Whitaker, Liam Smeeth, Richard Hubbard, Elizabeth Miller, Patrick Vallance, Andrew Hall, Sara L. Thomas, Nick Andrews, Patrick Musonda and Mounia N. Hocine. Their work appears in journals such as Statistics in Medicine, The Lancet, Epidemiology and Infection, Vaccine and Biostatistics.

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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