W Tun-Lin

14 papers receiving 1.2k citations

Peers

W Tun-Lin
Comparison fields: 5 of 57
  • Public Health, Environmental and Occupational Health 1.1k
  • Modeling and Simulation 76
  • Infectious Diseases 280
  • Insect Science 188
  • Ecological Modeling 29
Replace Juan I. Arredondo‐Jiménez with:
Juan I. Arredondo‐Jiménez Mexico
ADRIANA COSTERO United States
Leslie H. Lorenz United States
Thanyalak Fansiri Thailand
R. J. Tonn United States
William D. Petrie United States
Brian H. Kay Australia
K. J. Patel United States
Daniel E. Impoinvil United States
Ary Faraji United States
W Tun-Lin relative to Juan I. Arredondo‐Jiménez Mexico Juan I. Arredondo‐Jiménez's profile →
Citations per field
00.5×2×3.2×
Juan I. Arredondo‐Jiménez · 1×
Citations per year

Countries citing papers authored by W Tun-Lin

Since Specialization
Citations

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

Fields of papers citing papers by W Tun-Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W Tun-Lin. 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 W Tun-Lin. The network helps show where W Tun-Lin may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2000413
2 1995142
3 2009123
4 1996112
5 1995109
6 200099
7 200994
8
Quantitative sampling of immature Aedes aegypti in metal drums using sweep net and dipping methods.
199438
9 201028
10 200725
11
Hyperendemic malaria in a forested, hilly Myanmar village.
199524
12
Rapid and efficient removal of immature Aedes aegypti in metal drums by sweep net and modified sweeping method.
199510
13
Some environmental factors influencing the breeding of Anopheles balabacensis complex (dirus) in domestic wells in Burma.
19877
14
Interspecific Association Between Aedes aegypti and Aedes notoscriptus in Northern Queensland
19996

About W Tun-Lin

W Tun-Lin is a scholar working on Public Health, Environmental and Occupational Health, Plant Science, Sociology and Political Science, Endocrinology and Ecology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Malaria Research and Control (6 papers), Insect Pest Control Strategies (4 papers), Dengue and Mosquito Control Research (4 papers), Parasite Biology and Host Interactions (2 papers), Livestock and Poultry Management (1 paper), Animal Diversity and Health Studies (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.1k citations), Modeling and Simulation (76 citations), Infectious Diseases (280 citations), Insect Science (188 citations) and Ecological Modeling (29 citations). W Tun-Lin has collaborated with scholars based in Australia, Myanmar and United Kingdom. Frequent co-authors include Brian H. Kay, Allan M. Barnes, Catherine Walton, Simon J. Forsyth, Roger Kenneth Butlin, Ralph E. Harbach, Pradya Somboon, Visut Baimai, Frank H. Collins and Thaung Hlaing. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Medical and Veterinary Entomology, Evolutionary Applications, Tropical Medicine & International Health and BMC Genetics.

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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