Robert Cheke

6.5k citations
219 papers · 4.7k · h-index 36

Impact in

Papers in

Robert Cheke

210 papers receiving 4.5k citations

Peers

Robert Cheke
Comparison fields: 5 of 150
  • Modeling and Simulation 582
  • Public Health, Environmental and Occupational Health 1.8k
  • Infectious Diseases 1.1k
  • Insect Science 815
  • Parasitology 332
Replace Erin A. Mordecai with:
Erin A. Mordecai United States
Parviez R. Hosseini United States
Sadie J. Ryan United States
Krijn P. Paaijmans United States
Colin J. Carlson United States
Nick Golding United Kingdom
Christopher A. Gilligan United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Robert Cheke

Since Specialization
Citations

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

Fields of papers citing papers by Robert Cheke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 219 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984261
2 2004204
3 2004194
4 2008135
5 2010133
6 2012126
7 2010115
8 200880
9 200977
10 200271
11 201166
12 201564
13 200959
14
Molecular systematics of five Onchocerca species (Nematoda: Filarioidea) including the human parasite, O. volvulus, suggest sympatric speciation.
200659
15 201658
16 200156
17 201354
18 200653
19 201152
20 201651

About Robert Cheke

Robert Cheke is a scholar working on Ecology, Infectious Diseases, Public Health, Environmental and Occupational Health, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 219 papers that have together received 4.7k indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (50 papers), Mathematical and Theoretical Epidemiology and Ecology Models (45 papers), Parasite Biology and Host Interactions (28 papers), Plant and animal studies (26 papers), Evolution and Genetic Dynamics (22 papers), COVID-19 epidemiological studies (21 papers), Mosquito-borne diseases and control (19 papers) and Ecology and Vegetation Dynamics Studies (18 papers). The work is most often cited by research in Modeling and Simulation (582 citations), Public Health, Environmental and Occupational Health (1.8k citations), Infectious Diseases (1.1k citations), Insect Science (815 citations) and Parasitology (332 citations). Robert Cheke has collaborated with scholars based in United Kingdom, China and Ghana. Frequent co-authors include Sanyi Tang, Yanni Xiao, R.J. Post, R. Garms, Juhua Liang, S. L. Sutton, Alexandra Chadwick, T. C. Whitmore, Ramiro Morales‐Hojas and Guangyao Tang. Their work appears in journals such as Medical and Veterinary Entomology, Acta Tropica, Parasites & Vectors, International Journal of Bifurcation and Chaos and Bulletin of Mathematical Biology.

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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