Asako Tan
Impact in
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- Malaria Research and Control
- Mosquito-borne diseases and control
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Malaria Research and Control 12
- Genetics 5
- Evolution and Genetic Dynamics 3
- Genetic diversity and population structure 2
- Co-authors
- Michael T. Ferdig (15 shared papers)John C. Tan (6 shared papers)Gary P. Schroth (2 shared papers)Fred W. Hyde (2 shared papers)Scott Kuersten (4 shared papers)Hannah Greenwald Healy (1 shared paper)Oscar N. Whitney (1 shared paper)Jonathan Hetzel (1 shared paper)
- Journals
- BMC Genomics (5 papers)PLoS ONE (2 papers)mBio (1 paper)BMC Microbiology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomLaos
In The Last Decade
Asako Tan
20 papers receiving 965 citations
Peers
Comparison fields: 5 of 68
- Public Health, Environmental and Occupational Health 550
- Infectious Diseases 289
- Parasitology 98
- Computational Theory and Mathematics 134
- Molecular Biology 268
Countries citing papers authored by Asako Tan
This map shows the geographic impact of Asako Tan'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 Asako Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asako Tan more than expected).
Fields of papers citing papers by Asako Tan
This network shows the impact of papers produced by Asako Tan. 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 Asako Tan. The network helps show where Asako Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Asako Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 313 | |
| 2 | 2021 | 251 | |
| 3 | 2014 | 73 | |
| 4 | 2008 | 54 | |
| 5 | 2015 | 42 | |
| 6 | 2013 | 36 | |
| 7 | 2015 | 33 | |
| 8 | 2009 | 28 | |
| 9 | 2010 | 20 | |
| 10 | 2011 | 20 | |
| 11 | 2011 | 20 | |
| 12 | 2011 | 15 | |
| 13 | 2014 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2015 | 11 | |
| 16 | 2012 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2016 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 5 |
About Asako Tan
Asako Tan is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Molecular Biology, Computational Theory and Mathematics and Immunology, having authored 21 papers that have together received 975 indexed citations. Recurring topics across this work include Malaria Research and Control (12 papers), Genomics and Phylogenetic Studies (3 papers), Computational Drug Discovery Methods (3 papers), Evolution and Genetic Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Aquaculture disease management and microbiota (2 papers), Genetic diversity and population structure (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (550 citations), Infectious Diseases (289 citations), Parasitology (98 citations), Computational Theory and Mathematics (134 citations) and Molecular Biology (268 citations). Asako Tan has collaborated with scholars based in United States, United Kingdom and Laos. Frequent co-authors include Michael T. Ferdig, John C. Tan, Gary P. Schroth, Fred W. Hyde, Scott Kuersten, Hannah Greenwald Healy, Oscar N. Whitney, Jonathan Hetzel, Avi I. Flamholz and Alexander Crits‐Christoph. Their work appears in journals such as BMC Genomics, PLoS ONE, mBio, BMC Microbiology and PLoS 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.