John Aaskov

4.8k total citations
120 papers, 3.5k citations indexed

About

John Aaskov is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, John Aaskov has authored 120 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Public Health, Environmental and Occupational Health, 89 papers in Infectious Diseases and 11 papers in Agronomy and Crop Science. Recurrent topics in John Aaskov's work include Mosquito-borne diseases and control (89 papers), Viral Infections and Vectors (82 papers) and Malaria Research and Control (28 papers). John Aaskov is often cited by papers focused on Mosquito-borne diseases and control (89 papers), Viral Infections and Vectors (82 papers) and Malaria Research and Control (28 papers). John Aaskov collaborates with scholars based in Australia, United States and Thailand. John Aaskov's co-authors include Hlaing Myat Thu, Kym Lowry, Edward C. Holmes, Soe Thein, Than Nu Shwe, Aung Zaw, Khin Mar Aye, May La Linn, Ananda Nisalak and David W. Vaughn and has published in prestigious journals such as Science, PLoS ONE and Journal of Virology.

In The Last Decade

John Aaskov

118 papers receiving 3.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Aaskov Australia 33 2.8k 2.3k 393 269 241 120 3.5k
Rebeca Rico-Hesse United States 27 3.6k 1.3× 3.2k 1.4× 484 1.2× 476 1.8× 290 1.2× 34 4.4k
Veasna Duong Cambodia 32 2.4k 0.9× 2.1k 0.9× 277 0.7× 360 1.3× 247 1.0× 116 3.3k
Bradley J. Blitvich United States 34 4.1k 1.5× 3.7k 1.6× 1.0k 2.6× 441 1.6× 175 0.7× 128 4.7k
Lark L. Coffey United States 30 2.3k 0.8× 2.4k 1.0× 597 1.5× 425 1.6× 110 0.5× 69 3.7k
Naomi L. Forrester United States 34 3.0k 1.1× 3.3k 1.4× 667 1.7× 391 1.5× 76 0.3× 67 4.2k
Guodong Liang China 33 2.4k 0.8× 2.6k 1.1× 512 1.3× 378 1.4× 88 0.4× 197 3.4k
Eiji Konishi Japan 34 3.2k 1.1× 2.7k 1.2× 449 1.1× 656 2.4× 207 0.9× 162 4.0k
Dieudonné Nkoghe Gabon 30 1.9k 0.7× 1.9k 0.8× 163 0.4× 495 1.8× 166 0.7× 68 3.1k
Amélia Travassos da Rosa United States 24 2.3k 0.8× 2.2k 0.9× 216 0.5× 335 1.2× 142 0.6× 41 2.7k
Goro Kuno United States 21 2.3k 0.8× 1.8k 0.8× 438 1.1× 187 0.7× 142 0.6× 40 2.5k

Countries citing papers authored by John Aaskov

Since Specialization
Citations

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

Fields of papers citing papers by John Aaskov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Aaskov

This figure shows the co-authorship network connecting the top 25 collaborators of John Aaskov. A scholar is included among the top collaborators of John Aaskov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Aaskov. John Aaskov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Devine, Gregor J., et al.. (2020). Wolbachia strain wAlbB blocks replication of flaviviruses and alphaviruses in mosquito cell culture. Parasites & Vectors. 13(1). 54–54. 15 indexed citations
3.
Gyawali, Narayan, et al.. (2019). Infection of Western Gray Kangaroos ( Macropus fuliginosus ) with Australian Arboviruses Associated with Human Infection. Vector-Borne and Zoonotic Diseases. 20(1). 33–39. 11 indexed citations
4.
Gyawali, Narayan, Andrew W. Taylor‐Robinson, Richard S. Bradbury, et al.. (2019). Identification of the source of blood meals in mosquitoes collected from north-eastern Australia. Parasites & Vectors. 12(1). 198–198. 12 indexed citations
5.
Liu, Wen Jun & John Aaskov. (2018). Fitness peaks of dengue virus populations. PLoS ONE. 13(1). e0189554–e0189554. 6 indexed citations
6.
Aghaie, Afsaneh, et al.. (2016). Frequency of West Nile virus infection in Iranian blood donors. Faculty of Health; Institute of Health and Biomedical Innovation. 2 indexed citations
7.
Tan, Li Kiang, Tomohiko Takasaki, Sazaly AbuBakar, et al.. (2015). First round of external quality assessment of dengue diagnostics in the WHO Western Pacific Region, 2013. Western Pacific surveillance response journal. 6(2). 73–81. 8 indexed citations
8.
Horwood, Paul F., et al.. (2013). The threat of Chikungunya in Oceania. Western Pacific surveillance response journal. 4(3). 8–11. 36 indexed citations
9.
Aubry, Maïté, Claudine Roche, Myrielle Dupont‐Rouzeyrol, et al.. (2012). Use of serum and blood samples on filter paper to improve the surveillance of dengue in Pacific Island Countries. Journal of Clinical Virology. 55(1). 23–29. 29 indexed citations
10.
Lott, William B., et al.. (2011). Defective interfering viral particles in acute dengue infections. QUT ePrints (Queensland University of Technology). 2 indexed citations
11.
Nasveld, Peter, Sutee Yoksan, John Aaskov, et al.. (2011). Long term immunity to live attenuated Japanese encephalitis chimeric virus vaccine : randomized, double-blind, 5-year phase II study in healthy adults.. QUT ePrints (Queensland University of Technology). 2 indexed citations
12.
Holzer, Georg W., Gerald Aichinger, Helga Savidis-Dacho, et al.. (2011). Evaluation of an inactivated Ross River virus vaccine in active and passive mouse immunization models and establishment of a correlate of protection. Vaccine. 29(24). 4132–4141. 30 indexed citations
13.
Fernando, Sirimali, et al.. (2006). Seroprevalence of Anti-dengue Virus Antibodies in Children in Colombo District, Sri Lanka. 142(10). 3353–60. 14 indexed citations
14.
Thu, Hlaing Myat, Kym Lowry, Limin Jiang, et al.. (2005). Lineage extinction and replacement in dengue type 1 virus populations are due to stochastic events rather than to natural selection. Virology. 336(2). 163–172. 4 indexed citations
15.
A-nuegoonpipat, Atchareeya, Alain Berlioz-Arthaud, Vincent Chow, et al.. (2004). Sustained transmission of dengue virus type 1 in the Pacific due to repeated introductions of different Asian strains. Virology. 329(2). 505–512. 61 indexed citations
16.
Thu, Hlaing Myat, Ananda Nisalak, Suchitra Nimmannitya, et al.. (2002). Extinction and Rapid Emergence of Strains of Dengue 3 Virus during an Interepidemic Period. Virology. 301(1). 148–156. 149 indexed citations
17.
Lok, Shee‐Mei, Mah Lee Ng, & John Aaskov. (2001). Amino acid and phenotypic changes in dengue 2 virus associated with escape from neutralisation by IgM antibody. Journal of Medical Virology. 65(2). 315–323. 36 indexed citations
18.
Thein, Soe, et al.. (1997). Risk Factors in Dengue Shock Syndrome. American Journal of Tropical Medicine and Hygiene. 56(5). 566–572. 289 indexed citations
19.
Thein, Soe, et al.. (1993). Changes in levels of anti‐dengue virus IgG subclasses in patients with disease of varying severity. Journal of Medical Virology. 40(2). 102–106. 31 indexed citations
20.
Aaskov, John, et al.. (1993). Possible clinical infection with Edge Hill virus. Transactions of the Royal Society of Tropical Medicine and Hygiene. 87(4). 452–453. 20 indexed citations

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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