Jonathan Swinton

24 papers receiving 685 citations

Peers

Jonathan Swinton
Comparison fields: 5 of 130
  • Modeling and Simulation 98
  • Microbiology 92
  • General Health Professions 193
  • Infectious Diseases 114
  • Public Health, Environmental and Occupational Health 162
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Ann Jolly Canada
Erin L. Miller United States
Oliver Ratmann United Kingdom
Richard T. Gray Australia
Oliver Damm Germany
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Citations per year

Countries citing papers authored by Jonathan Swinton

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Swinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997191
2 200290
3 199565
4 200948
5 201245
6 201143
7 201031
8 201630
9 199227
10 200925
11 199622
12 199021
13 201015
14 200914
15 199213
16 199813
17 199410
18 199210
19 19935
20
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20195

About Jonathan Swinton

Jonathan Swinton is a scholar working on General Health Professions, Molecular Biology, Epidemiology, General Agricultural and Biological Sciences and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 729 indexed citations. Recurring topics across this work include Diverse Educational Innovations Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Adolescent Sexual and Reproductive Health (2 papers), Service-Learning and Community Engagement (2 papers), Vaccine Coverage and Hesitancy (2 papers), Evolution and Genetic Dynamics (2 papers), Reproductive tract infections research (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Modeling and Simulation (98 citations), Microbiology (92 citations), General Health Professions (193 citations), Infectious Diseases (114 citations) and Public Health, Environmental and Occupational Health (162 citations). Jonathan Swinton has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Azra C. Ghani, Geoff P. Garnett, D. James Nokes, Julia R. Gog, Roșie Woodroffe, Richard J. Bischoff, W. David Robinson, Roy M. Anderson, Kieran Smallbone and Ettore Murabito. Their work appears in journals such as Mathematical Medicine and Biology A Journal of the IMA, Journal of Theoretical Biology, Physics Letters A, Parasite Immunology and Proceedings of the Royal Society B Biological Sciences.

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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