Wang-Da Liu
Impact in
- 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
- Virology top 10%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 5
- HIV/AIDS Research and Interventions 3
- Epidemiology 12
- Hepatitis B Virus Studies 6
- Co-authors
- Wang‐Huei Sheng (17 shared papers)Yu‐Shan Huang (24 shared papers)Chien‐Ching Hung (32 shared papers)Wei‐Cheng You (1 shared paper)J F Fraumeni (1 shared paper)W. J. Blot (1 shared paper)Liqun Zhao (1 shared paper)Gang Xu (1 shared paper)
- Journals
- Journal of Microbiology Immunology and Infection (15 papers)Clinical Infectious Diseases (3 papers)Medicine (2 papers)Emerging Microbes & Infections (2 papers)Microbiology Spectrum (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Wang-Da Liu
46 papers receiving 485 citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 144
- Virology 33
- Hepatology 48
- Surgery 126
- Epidemiology 95
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 146 | |
| 2 | 2021 | 48 | |
| 3 | 2019 | 18 | |
| 4 | 2022 | 18 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 6 |
About Wang-Da Liu
Wang-Da Liu is a scholar working on Infectious Diseases, Epidemiology, Virology, Hepatology and Molecular Biology, having authored 52 papers that have together received 493 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (6 papers), Poxvirus research and outbreaks (5 papers), COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (4 papers), Bacillus and Francisella bacterial research (4 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Infectious Diseases (144 citations), Virology (33 citations), Hepatology (48 citations), Surgery (126 citations) and Epidemiology (95 citations). Wang-Da Liu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wang‐Huei Sheng, Yu‐Shan Huang, Chien‐Ching Hung, Wei‐Cheng You, J F Fraumeni, W. J. Blot, Liqun Zhao, Gang Xu, Robert Kneller and Li Zhang. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Clinical Infectious Diseases, Medicine, Emerging Microbes & Infections and Microbiology Spectrum.
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.