Jonathan Dushoff

161 papers receiving 10.8k citations

Jonathan Dushoff's Hit Papers

Increased risk of SARS-CoV-2 reinfection associated with emergence of Omicron in South Africa 2022 · 596 citations
5960+1+3Years since publication100200300400500

Peers

Jonathan Dushoff
Comparison fields: 5 of 196
  • Modeling and Simulation 2.1k
  • Virology 859
  • Infectious Diseases 2.4k
  • Public Health, Environmental and Occupational Health 2.3k
  • Nature and Landscape Conservation 1.0k
Replace Pejman Rohani with:
Pejman Rohani United States
Daniel T. Haydon United Kingdom
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Guy Baele Belgium
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Citations per year

Countries citing papers authored by Jonathan Dushoff

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Dushoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Increased risk of SARS-CoV-2 reinfection associated with emergence of Omicron in South Africa
Hit paper breakdown →
2022596
2 2007435
3 2001384
4 2009380
5 2013315
6 2005292
7 2004289
8 2004284
9 1998271
10 2011241
11 2002232
12 2005226
13
The origins and potential future of SARS-CoV-2 variants of concern in the evolving COVID-19 pandemic
Hit paper breakdown →
2021225
14 2006218
15 2004204
16 2002197
17 2008193
18 2008183
19 2017170
20 2008165

About Jonathan Dushoff

Jonathan Dushoff is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Genetics, having authored 168 papers that have together received 11.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (49 papers), Evolution and Genetic Dynamics (24 papers), Mathematical and Theoretical Epidemiology and Ecology Models (23 papers), Influenza Virus Research Studies (23 papers), Viral Infections and Outbreaks Research (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Modeling and Simulation (2.1k citations), Virology (859 citations), Infectious Diseases (2.4k citations), Public Health, Environmental and Occupational Health (2.3k citations) and Nature and Landscape Conservation (1.0k citations). Jonathan Dushoff has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Simon A. Levin, David J. D. Earn, Joshua B. Plotkin, Joshua S. Weitz, David L. Smith, Rachael Winfree, Claire Kremen, Neal M. Williams, Sang Woo Park and Greg Dwyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, The American Naturalist, PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Epidemics.

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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