Jonathan Cox

5.6k citations
60 papers · 4.1k · h-index 37

Impact in

Papers in

Jonathan Cox

59 papers receiving 3.9k citations

Peers

Jonathan Cox
Comparison fields: 5 of 147
  • Public Health, Environmental and Occupational Health 2.7k
  • Parasitology 364
  • Modeling and Simulation 173
  • Pediatrics, Perinatology and Child Health 480
  • Infectious Diseases 420
Replace Caroline Kabaria with:
Caroline Kabaria Kenya
M. Craig South Africa
Iqbal Elyazar Indonesia
Kim A. Lindblade United States
Hugh J. W. Sturrock United States
Justin M Cohen United States
Susanne H. Sokolow United States
Madeleine C. Thomson United Kingdom
Katherine E. Battle United Kingdom
David N Dürrheim Australia
Jonathan Cox relative to Caroline Kabaria Kenya Caroline Kabaria's profile →
Citations per field
00.5×3.1×
Caroline Kabaria · 1×
Citations per year

Countries citing papers authored by Jonathan Cox

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002416
2 2011293
3 2010231
4 2004192
5 2008179
6 2002138
7 2015136
8 2005128
9 2014127
10 2010108
11 2017105
12 2015104
13 201499
14 200894
15 201590
16 201887
17 201986
18 201185
19 201684
20 200877

About Jonathan Cox

Jonathan Cox is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Infectious Diseases, Epidemiology and Modeling and Simulation, having authored 60 papers that have together received 4.1k indexed citations. Recurring topics across this work include Malaria Research and Control (46 papers), Mosquito-borne diseases and control (19 papers), Global Maternal and Child Health (6 papers), COVID-19 epidemiological studies (4 papers), Viral Infections and Vectors (4 papers), Parasites and Host Interactions (3 papers), Trypanosoma species research and implications (2 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (2.7k citations), Parasitology (364 citations), Modeling and Simulation (173 citations), Pediatrics, Perinatology and Child Health (480 citations) and Infectious Diseases (420 citations). Jonathan Cox has collaborated with scholars based in United Kingdom, Kenya and United States. Frequent co-authors include Chris Drakeley, Robert W. Snow, Tarekegn A. Abeku, Simon I Hay, Sabine Gabrysch, Teun Bousema, Sarah Randolph, David J. Rogers, David I. Stern and G. Dennis Shanks. Their work appears in journals such as Malaria Journal, The Journal of Infectious Diseases, Trends in Parasitology, Emerging infectious diseases and Tropical Medicine & International 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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