Asako Tan

1.4k citations
20 papers · 603 · 1 hit paper · h-index 12

Impact in

Papers in

Asako Tan

19 papers receiving 600 citations

Asako Tan's Hit Papers

Genome Sequencing of Sewage Detects Regionally Prevalent SARS-CoV-2 Variants 2021 · 219 citations
2190+1+3Years since publication50100150200

Peers

Asako Tan
Comparison fields: 5 of 65
  • Infectious Diseases 237
  • Public Health, Environmental and Occupational Health 264
  • Parasitology 43
  • Virology 13
  • Molecular Biology 194
Replace Julin Li with:
Julin Li China
Abu Naser Mohon Canada
Stephanie K. Yanow Canada
Corrie Ortega United States
Rubén Soto-Acosta United States
Lynette Isabella Ochola‐Oyier Kenya
Karen-Ann Gray Australia
Darin Kongkasuriyachai Thailand
Yaobao Liu China
Subodh Kumar Samrat United States
Asako Tan relative to Julin Li China Julin Li's profile →
Citations per field
00.5×2.7×
Julin Li · 1×
Citations per year

Countries citing papers authored by Asako Tan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Asako Tan Line = papers co-authored together Asako Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Genome Sequencing of Sewage Detects Regionally Prevalent SARS-CoV-2 Variants
Hit paper breakdown →
2021219
2 201471
3 200850
4 201538
5 201334
6 201532
7 200927
8 201120
9 201020
10 201120
11 201116
12 201513
13 201510
14 20128
15 20148
16 20236
17 20234
18 20174
19 20083
20 20250

About Asako Tan

Asako Tan is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Computational Theory and Mathematics, Genetics and Immunology, having authored 20 papers that have together received 603 indexed citations. Recurring topics across this work include Malaria Research and Control (11 papers), Genomics and Phylogenetic Studies (3 papers), Computational Drug Discovery Methods (3 papers), Genetic diversity and population structure (2 papers), Bioinformatics and Genomic Networks (2 papers), Chromosomal and Genetic Variations (2 papers), Gut microbiota and health (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Infectious Diseases (237 citations), Public Health, Environmental and Occupational Health (264 citations), Parasitology (43 citations), Virology (13 citations) and Molecular Biology (194 citations). Asako Tan has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Michael T. Ferdig, John C. Tan, Adrian Hinkle, Yue Clare Lou, Basem Al-Shayeb, Jillian F. Banfield, F W Hyde, Kara L. Nelson, Scott Kuersten and Hannah Greenwald. Their work appears in journals such as BMC Genomics, PLoS ONE, Journal of Clinical Oncology, BMC Microbiology and Molecular Biology and Evolution.

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.

Explore authors with similar magnitude of impact