Will Kastens

15 papers receiving 803 citations

Peers

Will Kastens
Comparison fields: 5 of 55
  • Parasitology 299
  • Public Health, Environmental and Occupational Health 548
  • Infectious Diseases 293
  • Virology 60
  • Immunology 217
Replace Dalma Maria Banic with:
Dalma Maria Banic Brazil
A. Raiko Papua New Guinea
Mauro Shugiro Tada Brazil
Rose G. F. Leke Cameroon
Mathurin Diatta Senegal
S. Puente Spain
Eun-Taek Han South Korea
Benson Kiniboro Papua New Guinea
Rahel Wampfler Switzerland
Michael Otieno Kenya
Will Kastens relative to Dalma Maria Banic Brazil Dalma Maria Banic's profile →
Citations per field
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Dalma Maria Banic · 1×
Citations per year

Countries citing papers authored by Will Kastens

Since Specialization
Citations

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

Fields of papers citing papers by Will Kastens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2002120
2 2000109
3 200881
4 200272
5 200671
6 200760
7 200257
8 200153
9 200350
10 200245
11 200132
12 200926
13 200023
14 200721
15
Mapping the prevalence of malaria in rural Papua New Guinea using a geographic information system.
20123

About Will Kastens

Will Kastens is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Immunology, Infectious Diseases and Ecology, having authored 15 papers that have together received 823 indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Mosquito-borne diseases and control (8 papers), Parasitic Diseases Research and Treatment (5 papers), Complement system in diseases (5 papers), Parasites and Host Interactions (4 papers), Parasite Biology and Host Interactions (3 papers), vaccines and immunoinformatics approaches (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Parasitology (299 citations), Public Health, Environmental and Occupational Health (548 citations), Infectious Diseases (293 citations), Virology (60 citations) and Immunology (217 citations). Will Kastens has collaborated with scholars based in Papua New Guinea, United States and Australia. Frequent co-authors include Moses J. Bockarie, James W. Kazura, Michael P. Alpers, Christopher L. King, John H. Adams, Peter A. Zimmerman, James W. Kazura, Moses Baisor, Jia Xainli and Daniel J. Tisch. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, The Journal of Immunology, FEBS Letters and New England Journal of Medicine.

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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