Jonathan M. Read

11.4k citations
94 papers · 3.6k · 3 hit papers · h-index 28

Impact in

Papers in

    • COVID-19 epidemiological studies 36
    • Influenza Virus Research Studies 15
    • Respiratory viral infections research 13
    • Data-Driven Disease Surveillance 7

Jonathan M. Read

91 papers receiving 3.5k citations

Jonathan M. Read's Hit Papers

Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates 2021 · 194 citations
1940+2+4Years since publication100200300400

Peers

Jonathan M. Read
Comparison fields: 5 of 156
  • Modeling and Simulation 1.2k
  • Infectious Diseases 1.0k
  • Epidemiology 899
  • Statistical and Nonlinear Physics 354
  • Health 145
Replace Dennis L. Chao with:
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan M. Read

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study
Hit paper breakdown →
2021455
2 2008252
3
Efficacy of contact tracing for the containment of the 2019 novel coronavirus (COVID-19)
Hit paper breakdown →
2020235
4
Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates
Hit paper breakdown →
2021194
5 2003181
6 2020163
7 2012160
8 2010144
9 2014124
10 2012114
11 2015107
12 200379
13 201273
14 201372
15 201464
16 201862
17 201456
18 201854
19 200853
20 201652

About Jonathan M. Read

Jonathan M. Read is a scholar working on Modeling and Simulation, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics, having authored 94 papers that have together received 3.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (36 papers), Influenza Virus Research Studies (15 papers), Respiratory viral infections research (13 papers), Complex Network Analysis Techniques (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Data-Driven Disease Surveillance (7 papers), Zoonotic diseases and public health (6 papers) and Opinion Dynamics and Social Influence (6 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Infectious Diseases (1.0k citations), Epidemiology (899 citations), Statistical and Nonlinear Physics (354 citations) and Health (145 citations). Jonathan M. Read has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Matt J. Keeling, Derek A. T. Cummings, W. John Edmunds, León Danon, Steven Riley, Ken Eames, Justin Lessler, Ellen Brooks‐Pollock, T. Déirdre Hollingsworth and Krasimira Tsaneva‐Atanasova. Their work appears in journals such as Influenza and Other Respiratory Viruses, Scientific Reports, Proceedings of the Royal Society B Biological Sciences, BMJ Open and Journal of The Royal Society Interface.

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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