J. Cox

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

Impact in

Papers in

J. Cox

21 papers receiving 1.5k citations

Peers

J. Cox
Comparison fields: 5 of 114
  • Public Health, Environmental and Occupational Health 974
  • Parasitology 168
  • Modeling and Simulation 107
  • Infectious Diseases 275
  • Health, Toxicology and Mutagenesis 188
Replace D. Le Sueur with:
D. Le Sueur South Africa
T.H. Jetten Netherlands
Paul E. Parham United Kingdom
M. Craig South Africa
Magaran Monzon Bagayoko Mali
Kimberly Fornace United Kingdom
Anne L. Wilson United Kingdom
Jonathan Cox United Kingdom
D.J. Rogers United Kingdom
Paul Reiter United States
J. Cox relative to D. Le Sueur South Africa D. Le Sueur's profile →
Citations per field
00.5×1.5×
D. Le Sueur · 1×
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.
2005138
5 2000113
6 1997105
7
Mapping malaria risk in the Highlands of Africa
199974
8 199768
9 198746
10 201635
11 200930
12 201426
13 201114
14 200613
15 201412
16 198110
17 20149
18 20118
19
FACTORS THAT ARE ASSOCIATED WITH THE RISK OF ACQUIRING PLASMODIUM KNOWLESI MALARIA IN SABAH, MALAYSIA: A CASE-CONTROL STUDY
20151
20 20231

About J. Cox

J. Cox is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Ecology, Small Animals and Pediatrics, Perinatology and Child Health, 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 (6 papers), Viral Infections and Vectors (5 papers), Zoonotic diseases and public health (3 papers), COVID-19 epidemiological studies (2 papers), Global Maternal and Child Health (2 papers), Emergency and Acute Care Studies (2 papers) and Parasite Biology and Host Interactions (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (974 citations), Parasitology (168 citations), Modeling and Simulation (107 citations), Infectious Diseases (275 citations) and Health, Toxicology and Mutagenesis (188 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, David J. Bradley, McMichael Aj, Katrin Gaardbo Kuhn, Pim Martens, M. Livermore and D Campbell-Lendrum. Their work appears in journals such as Epidemiology and Infection, American Journal of Tropical Medicine and Hygiene, Tropical Medicine & International Health, 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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