Wan-Ting Tsai
Impact in
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- Hepatitis C virus research
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- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
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- interferon and immune responses 3
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Yu‐Liang Chi (1 shared paper)Guann‐Yi Yu (7 shared papers)Chia‐Yang Li (2 shared papers)Michael Karin (1 shared paper)Fan‐Gang Tseng (1 shared paper)Ling-Ling Chueh (1 shared paper)Guobin He (1 shared paper)Lily Wang (1 shared paper)
- Journals
- Journal of Microbiology Immunology and Infection (3 papers)iScience (1 paper)Journal of Autoimmunity (1 paper)Frontiers in Immunology (1 paper)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- TaiwanSouth KoreaChina
In The Last Decade
Wan-Ting Tsai
20 papers receiving 251 citations
Peers
Comparison fields: 5 of 88
- Hepatology 35
- Infectious Diseases 52
- Immunology 48
- Animal Science and Zoology 22
- Bioengineering 10
Countries citing papers authored by Wan-Ting Tsai
This map shows the geographic impact of Wan-Ting Tsai'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 Wan-Ting Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Ting Tsai more than expected).
Fields of papers citing papers by Wan-Ting Tsai
This network shows the impact of papers produced by Wan-Ting Tsai. 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 Wan-Ting Tsai. The network helps show where Wan-Ting Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan-Ting Tsai, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 49 | |
| 2 | 2016 | 36 | |
| 3 | 2014 | 33 | |
| 4 | 2018 | 23 | |
| 5 | 2022 | 21 | |
| 6 | 2013 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2019 | 10 | |
| 9 | 2017 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2015 | 1 |
About Wan-Ting Tsai
Wan-Ting Tsai is a scholar working on Immunology, Infectious Diseases, Epidemiology, Electrical and Electronic Engineering and Oncology, having authored 23 papers that have together received 261 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Animal Virus Infections Studies (2 papers), Semiconductor materials and devices (2 papers), Fungal Infections and Studies (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Bone health and treatments (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Hepatology (35 citations), Infectious Diseases (52 citations), Immunology (48 citations), Animal Science and Zoology (22 citations) and Bioengineering (10 citations). Wan-Ting Tsai has collaborated with scholars based in Taiwan, South Korea and China. Frequent co-authors include Yu‐Liang Chi, Guann‐Yi Yu, Chia‐Yang Li, Michael Karin, Fan‐Gang Tseng, Ling-Ling Chueh, Guobin He, Lily Wang, Ming‐Chang Lee and Tsung‐Hsien Chuang. Their work appears in journals such as Journal of Microbiology Immunology and Infection, iScience, Journal of Autoimmunity, Frontiers in Immunology and Sensors and Actuators B Chemical.
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.