William Chin

43 papers receiving 698 citations

Peers

William Chin
Comparison fields: 5 of 67
  • Parasitology 231
  • Public Health, Environmental and Occupational Health 748
  • Pharmacology 66
  • Immunology 104
  • Virology 17
Replace Manijeh Vafa Homann with:
Manijeh Vafa Homann Sweden
Napaporn Siripoon Thailand
A. Narara Papua New Guinea
L D Oligino United States
Peggy S. Stanfill United States
R Carter United Kingdom
Joanne Baker Australia
Ando B. Guindo Mali
Kerry Lorry Australia
Anil N. Jayawardena United States
William Chin relative to Manijeh Vafa Homann Sweden Manijeh Vafa Homann's profile →
Citations per field
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Manijeh Vafa Homann · 1×
Citations per year

Countries citing papers authored by William Chin

Since Specialization
Citations

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

Fields of papers citing papers by William Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968100
2 197990
3 196663
4 196657
5 196555
6 197733
7 197032
8 197930
9 197927
10 198326
11 197125
12 197924
13 196622
14 197818
15 197317
16 198014
17 196612
18
Studies on the Indochina I/CDC strain of Plasmodium falciparum in Colombian and Bolivian Aotus monkeys and different anophelines.
198312
19 198012
20 196711

About William Chin

William Chin is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Infectious Diseases, Dermatology and Epidemiology, having authored 44 papers that have together received 836 indexed citations. Recurring topics across this work include Malaria Research and Control (36 papers), Mosquito-borne diseases and control (29 papers), Vector-borne infectious diseases (6 papers), Contact Dermatitis and Allergies (2 papers), Allergic Rhinitis and Sensitization (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Parasite Biology and Host Interactions (2 papers) and Primate Behavior and Ecology (2 papers). The work is most often cited by research in Parasitology (231 citations), Public Health, Environmental and Occupational Health (748 citations), Pharmacology (66 citations), Immunology (104 citations) and Virology (17 citations). William Chin has collaborated with scholars based in United States and Canada. Frequent co-authors include Peter G. Contacos, William E. Collins, G. Robert Coatney, Jimmie C. Skinner, W. E. Collins, Carlos C. Campbell, Harry R. Kimball, Harrison C. Spencer, Delynn M. Moss and McWilson Warren. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Journal of Parasitology, Transactions of the Royal Society of Tropical Medicine and Hygiene, Allergy and Asthma Proceedings and Science.

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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