Peter Winskill

48 papers receiving 2.1k citations

Hit Papers

Global impact of the first year of COVID-19 vaccination: a mathematical modelling study 2022 · 882 citations
8820+1+2Years since publication250500750

Peers

Peter Winskill
Comparison fields: 5 of 139
  • Modeling and Simulation 401
  • Health 444
  • Infectious Diseases 892
  • Public Health, Environmental and Occupational Health 796
  • Parasitology 172
Replace Yaniv Lustig with:
Yaniv Lustig Israel
Alberto Paniz‐Mondolfi United States
Piero Poletti Italy
Isabel Rodríguez-Barraquer United States
Robert T. Perry United States
Marilda Mendonça Siqueira Brazil
Zulma M. Cucunubá Colombia
Jean‐Michel Héraud Madagascar
Lucille Blumberg South Africa
Eric J. Nilles United States
Peter Winskill relative to Yaniv Lustig Israel Yaniv Lustig's profile →
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Citations per year

Countries citing papers authored by Peter Winskill

Since Specialization
Citations

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

Fields of papers citing papers by Peter Winskill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global impact of the first year of COVID-19 vaccination: a mathematical modelling study
Hit paper breakdown →
2022882
2 2019171
3 2018102
4 201876
5 201175
6 202172
7 201559
8 201548
9 201947
10 202242
11 201738
12 201736
13 201435
14 202131
15 201930
16 201329
17 202129
18 201926
19 202026
20 202224

About Peter Winskill

Peter Winskill is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation, Health and Pediatrics, Perinatology and Child Health, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Malaria Research and Control (22 papers), Mosquito-borne diseases and control (22 papers), COVID-19 epidemiological studies (12 papers), Vaccine Coverage and Hesitancy (11 papers), Global Maternal and Child Health (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Parasitic infections in humans and animals (6 papers) and Congenital Anomalies and Fetal Surgery (6 papers). The work is most often cited by research in Modeling and Simulation (401 citations), Health (444 citations), Infectious Diseases (892 citations), Public Health, Environmental and Occupational Health (796 citations) and Parasitology (172 citations). Peter Winskill has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Azra C. Ghani, Alexandra B. Hogan, Oliver J. Watson, Gregory Barnsley, Jaspreet Toor, Jamie T. Griffin, María‐Gloria Basáñez, Patrick Walker, Thomas S. Churcher and Ellie Sherrard-Smith. Their work appears in journals such as Nature Communications, Parasites & Vectors, Malaria Journal, PLoS neglected tropical diseases and PLoS Medicine.

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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