Amanda L. Tan
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- Epidemiology
- Insect Science top 10%
- Co-authors
- Sharon IsernLauren M. PaulScott F. MichaelNathaniel L. MattesonJaqueline Góes de JesusBradley J. MainKoen K. A. Van RompayNicholas J. Loman
- Topics
- Mosquito-borne diseases and control (3 papers)Insect symbiosis and bacterial influences (2 papers)Genomics and Phylogenetic Studies (1 paper)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Amanda L. Tan
4 papers receiving 651 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Infectious Diseases 454
- Public Health, Environmental and Occupational Health 221
- Molecular Biology 142
- Epidemiology 123
- Insect Science 74
Countries citing papers authored by Amanda L. Tan
This map shows the geographic impact of Amanda L. 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 Amanda L. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda L. Tan more than expected).
Fields of papers citing papers by Amanda L. Tan
This network shows the impact of papers produced by Amanda L. 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 Amanda L. Tan. The network helps show where Amanda L. Tan may publish in the future.
Co-authorship network of co-authors of Amanda L. Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Amanda L. Tan. A scholar is included among the top collaborators of Amanda L. Tan 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 Amanda L. Tan. Amanda L. Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVarbreakdown → | 459 |
| 4 | 40 | |
| 5 | 155 |
About Amanda L. Tan
Amanda L. Tan is a scholar working on Geriatrics and Gerontology, Critical Care and Intensive Care Medicine and Insect Science, having authored 5 papers that have together received 661 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (3 papers), Insect symbiosis and bacterial influences (2 papers) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Infectious Diseases (454 citations), Public Health, Environmental and Occupational Health (221 citations) and Modeling and Simulation (33 citations). Amanda L. Tan has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Sharon Isern, Lauren M. Paul, Scott F. Michael, Nathaniel L. Matteson, Jaqueline Góes de Jesus, Bradley J. Main, Koen K. A. Van Rompay, Nicholas J. Loman, Nathan D. Grubaugh and Karthik Gangavarapu. Their work appears in journals such as Genome biology, mBio and Journal of the American Medical Directors Association.
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.