Jonathan Swinton

24 papers receiving 692 citations

Peers

Jonathan Swinton
Comparison fields: 5 of 128
  • Modeling and Simulation 96
  • Microbiology 74
  • Public Health, Environmental and Occupational Health 151
  • General Health Professions 127
  • Infectious Diseases 67
Replace Ann Jolly with:
Ann Jolly Canada
Oliver Ratmann United Kingdom
Charlotte Robin United Kingdom
Richard T. Gray Australia
Michael Martin Thailand
Donald E. Woodhouse United States
Cynthia Schuck‐Paim United States
Angela L. Rasmussen United States
Giorgio Guzzetta Italy
Ellsworth M. Campbell United States
Jonathan Swinton relative to Ann Jolly Canada Ann Jolly's profile →
Citations per field
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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 201246
6 201143
7 201631
8 201031
9 199227
10 200925
11 199622
12 199022
13 201016
14 200914
15 199813
16 199213
17 199210
18 199410
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 733 indexed citations. Recurring topics across this work include Diverse Educational Innovations Studies (3 papers), Virology and Viral Diseases (2 papers), Adolescent Sexual and Reproductive Health (2 papers), Evolution and Genetic Dynamics (2 papers), Vaccine Coverage and Hesitancy (2 papers), Service-Learning and Community Engagement (2 papers), Gene Regulatory Network Analysis (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Modeling and Simulation (96 citations), Microbiology (74 citations), Public Health, Environmental and Occupational Health (151 citations), General Health Professions (127 citations) and Infectious Diseases (67 citations). Jonathan Swinton has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Azra C. Ghani, Geoff P. Garnett, D. James Nokes, Roșie Woodroffe, Julia R. Gog, Richard J. Bischoff, W. David Robinson, Roy M. Anderson, Ettore Murabito and Kieran Smallbone. Their work appears in journals such as Mathematical Medicine and Biology A Journal of the IMA, Physics Letters A, Journal of Theoretical Biology, PROTEOMICS - CLINICAL APPLICATIONS and Criminal Behaviour and Mental 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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