J. Cox

2.1k citations
21 papers · 1.6k indexed · h-index 14

Impact in

Papers in

J. Cox

21 papers receiving 1.5k citations

Peers

J. Cox
Comparison fields: 5 of 118
  • Parasitology 236
  • Public Health, Environmental and Occupational Health 1.0k
  • Modeling and Simulation 128
  • Infectious Diseases 346
  • Health, Toxicology and Mutagenesis 208
Replace D. Le Sueur with:
D. Le Sueur South Africa
A. Alonso Aguirre United States
K. Marie McIntyre United Kingdom
Magaran Monzon Bagayoko Mali
M. Craig South Africa
Hans J. Overgaard Norway
Judy Omumbo Kenya
Kimberly Fornace United Kingdom
Joseph Keating United States
Susanne H. Sokolow United States
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Citations per field
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Citations per year

Countries citing papers authored by J. Cox

Since Specialization
Citations

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

Fields of papers citing papers by J. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005386
2 1999276
3 2001197
4
Using climate to predict infectious disease epidemics.
2005139
5 2000112
6 1997105
7
Mapping malaria risk in the Highlands of Africa
199974
8 199769
9 198746
10 201635
11 200930
12 201426
13 201114
14 200613
15 201412
16 198110
17 20149
18 20118
19 20231
20
FACTORS THAT ARE ASSOCIATED WITH THE RISK OF ACQUIRING PLASMODIUM KNOWLESI MALARIA IN SABAH, MALAYSIA: A CASE-CONTROL STUDY
20151

About J. Cox

J. Cox is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Infectious Diseases, Parasitology and Small Animals, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Malaria Research and Control (7 papers), Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (5 papers), Zoonotic diseases and public health (3 papers), Emergency and Acute Care Studies (2 papers), Parasite Biology and Host Interactions (2 papers), Global Maternal and Child Health (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Parasitology (236 citations), Public Health, Environmental and Occupational Health (1.0k citations), Modeling and Simulation (128 citations), Infectious Diseases (346 citations) and Health, Toxicology and Mutagenesis (208 citations). J. Cox has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sari Kovats, Andy Haines, Alistair Woodward, Chris Drakeley, McMichael Aj, Katrin Gaardbo Kuhn, D Campbell-Lendrum, Pim Martens, M. Livermore and David J. Bradley. Their work appears in journals such as Epidemiology and Infection, Journal of Epidemiology & Community Health, Journal of Bacteriology, BMJ Open and Parasitology.

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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