Wang-Da Liu
Impact in
- Virology top 10%
- HIV Research and Treatment
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 10
- HIV/AIDS Research and Interventions 7
- Epidemiology 19
- Hepatitis B Virus Studies 7
- Co-authors
- Wang‐Huei Sheng (16 shared papers)W. J. Blot (1 shared paper)Li Zhang (1 shared paper)Robert Kneller (1 shared paper)Gang Xu (1 shared paper)Yu‐Shan Huang (22 shared papers)Liqun Zhao (1 shared paper)Chien‐Ching Hung (31 shared papers)
- Journals
- Journal of Microbiology Immunology and Infection (14 papers)Clinical Infectious Diseases (3 papers)Clinical Microbiology and Infection (2 papers)Medicine (2 papers)Applied Microbiology and Biotechnology (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Wang-Da Liu
41 papers receiving 447 citations
Peers
Comparison fields: 5 of 66
- Virology 48
- Infectious Diseases 172
- Hepatology 40
- Epidemiology 118
- Surgery 144
Countries citing papers authored by Wang-Da Liu
This map shows the geographic impact of Wang-Da Liu'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 Wang-Da Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang-Da Liu more than expected).
Fields of papers citing papers by Wang-Da Liu
This network shows the impact of papers produced by Wang-Da Liu. 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 Wang-Da Liu. The network helps show where Wang-Da Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang-Da Liu, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 138 | |
| 2 | 2021 | 48 | |
| 3 | 2019 | 17 | |
| 4 | 2020 | 16 | |
| 5 | 2022 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 6 |
About Wang-Da Liu
Wang-Da Liu is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Molecular Biology and Virology, having authored 49 papers that have together received 452 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (10 papers), Hepatitis C virus research (9 papers), HIV/AIDS Research and Interventions (7 papers), Hepatitis B Virus Studies (7 papers), Syphilis Diagnosis and Treatment (6 papers), Long-Term Effects of COVID-19 (5 papers) and Bacillus and Francisella bacterial research (5 papers). The work is most often cited by research in Virology (48 citations), Infectious Diseases (172 citations), Hepatology (40 citations), Epidemiology (118 citations) and Surgery (144 citations). Wang-Da Liu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wang‐Huei Sheng, W. J. Blot, Li Zhang, Robert Kneller, Gang Xu, Yu‐Shan Huang, Liqun Zhao, Chien‐Ching Hung, J F Fraumeni and Wei‐Cheng You. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Clinical Infectious Diseases, Clinical Microbiology and Infection, Medicine and Applied Microbiology and Biotechnology.
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.