Peter Winskill

50 papers receiving 2.3k citations

Peter Winskill's Hit Papers

Global impact of the first year of COVID-19 vaccination: a mathematical modelling study 2022 · 933 citations
9330+1+2Years since publication250500750

Peers

Peter Winskill
Comparison fields: 5 of 134
  • Modeling and Simulation 284
  • Health 331
  • Infectious Diseases 720
  • Public Health, Environmental and Occupational Health 816
  • Parasitology 101
Replace Yaniv Lustig with:
Yaniv Lustig Israel
Giorgio Guzzetta Italy
Piero Poletti Italy
Daniela Michlmayr United States
Isabel Rodríguez-Barraquer United States
Joshua Nealon France
Eric J. Nilles United States
Oliver J. Watson United Kingdom
Ramesh Jadi United States
Carmit Cohen Israel
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 55 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 →
2022933
2 2019177
3 2018105
4 201878
5 201176
6 202175
7 201560
8 201550
9 201949
10 202242
11 201739
12
Optimising the deployment of vector control tools against malaria: a data-informed modelling study
202238
13 201738
14 201437
15 202133
16 202132
17 201331
18 201931
19 202026
20 201926

About Peter Winskill

Peter Winskill is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation, Pathology and Forensic Medicine and Health, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Malaria Research and Control (23 papers), Mosquito-borne diseases and control (13 papers), COVID-19 epidemiological studies (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Parasitic infections in humans and animals (6 papers), Vaccine Coverage and Hesitancy (5 papers), Congenital Anomalies and Fetal Surgery (4 papers) and Insect Pest Control Strategies (3 papers). The work is most often cited by research in Modeling and Simulation (284 citations), Health (331 citations), Infectious Diseases (720 citations), Public Health, Environmental and Occupational Health (816 citations) and Parasitology (101 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, Marı́a-Gloria Basáñez, Patrick Walker, Ellie Sherrard-Smith and Thomas S. Churcher. Their work appears in journals such as Nature Communications, Parasites & Vectors, PLoS neglected tropical diseases, Malaria Journal and The Lancet Global Health.

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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