Tai‐Ling Chao
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
-
- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 26
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 detection and testing 5
- Viral gastroenteritis research and epidemiology 3
-
- interferon and immune responses 6
- Co-authors
- Sui‐Yuan Chang (39 shared papers)Ya‐Min Tsai (12 shared papers)Pei‐Jer Chen (4 shared papers)Ya‐Wen Cheng (3 shared papers)Shiou-Hwei Yeh (2 shared papers)Mi‐Hua Tao (2 shared papers)Pan‐Chyr Yang (5 shared papers)Kuo‐Yen Huang (4 shared papers)
- Journals
- Applied Microbiology and Biotechnology (5 papers)Pharmaceutics (2 papers)ACS Omega (2 papers)International Journal of Molecular Sciences (2 papers)Antiviral Research (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tai‐Ling Chao
40 papers receiving 645 citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 384
- Computational Theory and Mathematics 91
- Animal Science and Zoology 43
- Immunology 74
- Epidemiology 104
Countries citing papers authored by Tai‐Ling Chao
This map shows the geographic impact of Tai‐Ling Chao'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 Tai‐Ling Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Ling Chao more than expected).
Fields of papers citing papers by Tai‐Ling Chao
This network shows the impact of papers produced by Tai‐Ling Chao. 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 Tai‐Ling Chao. The network helps show where Tai‐Ling Chao may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai‐Ling Chao, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 195 | |
| 2 | 2006 | 43 | |
| 3 | 2013 | 41 | |
| 4 | 2020 | 38 | |
| 5 | 2021 | 36 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 26 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 20 | |
| 10 | 2022 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 11 | |
| 17 | 2005 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 6 |
About Tai‐Ling Chao
Tai‐Ling Chao is a scholar working on Infectious Diseases, Immunology, Animal Science and Zoology, Molecular Biology and Epidemiology, having authored 41 papers that have together received 652 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (26 papers), COVID-19 Clinical Research Studies (9 papers), Animal Virus Infections Studies (7 papers), interferon and immune responses (6 papers), Computational Drug Discovery Methods (6 papers), SARS-CoV-2 detection and testing (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (384 citations), Computational Theory and Mathematics (91 citations), Animal Science and Zoology (43 citations), Immunology (74 citations) and Epidemiology (104 citations). Tai‐Ling Chao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Sui‐Yuan Chang, Ya‐Min Tsai, Pei‐Jer Chen, Ya‐Wen Cheng, Shiou-Hwei Yeh, Mi‐Hua Tao, Pan‐Chyr Yang, Kuo‐Yen Huang, Lily Wang and Pi‐Han Lin. Their work appears in journals such as Applied Microbiology and Biotechnology, Pharmaceutics, ACS Omega, International Journal of Molecular Sciences and Antiviral Research.
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.