Veasna Duong

6.3k citations
116 papers · 3.3k indexed · 1 hit paper · h-index 32

Veasna Duong

112 papers receiving 3.2k citations

Hit Papers

Asymptomatic humans transmit dengue virus to mosquitoes3302015202620182022100200300

Peers

Veasna Duong
Comparison fields: 5 of 117
  • Infectious Diseases 2.1k
  • Public Health, Environmental and Occupational Health 2.4k
  • Modeling and Simulation 313
  • Parasitology 381
  • Virology 116
Replace Michel L. Bunning with:
Michel L. Bunning United States
Brent S. Davis United States
Oumar Faye Senegal
Michael Drebot Canada
Amadou A. Sall Senegal
Philippe Dussart Cambodia
Douglas M. Watts United States
Gilda Grard France
Dieudonné Nkoghe Gabon
Leah C. Katzelnick United States
Veasna Duong relative to Michel L. Bunning United States Michel L. Bunning's profile →
Citations per field
00.5×4.1×
Michel L. Bunning · 1×
Citations per year

Countries citing papers authored by Veasna Duong

Since Specialization
Citations

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

Fields of papers citing papers by Veasna Duong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20247
3 20241
4 20232
5 20231
6 20231
7 20224
8 20222
9 202178
10 202138
11 202187
12 202021
13 202014
14 202016
15 2018105
16 201815
17 201642
18 201514
19 2011117
20 200527

About Veasna Duong

Veasna Duong is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Parasitology, having authored 116 papers that have together received 3.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (74 papers), Viral Infections and Vectors (66 papers), Malaria Research and Control (36 papers), Virology and Viral Diseases (13 papers), Viral Infections and Outbreaks Research (12 papers), Vector-borne infectious diseases (12 papers), COVID-19 epidemiological studies (11 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Public Health, Environmental and Occupational Health (2.4k citations) and Modeling and Simulation (313 citations). Veasna Duong has collaborated with scholars based in Cambodia, France and United States. Frequent co-authors include Philippe Buchy, Philippe Dussart, Sowath Ly, Rekol Huy, Arnaud Tarantola, Sivuth Ong, Anavaj Sakuntabhai, Louis Lambrechts, Sirenda Vong and Richard Paúl. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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