Yiwei Liu
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
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- Computational Drug Discovery Methods
Papers in
-
- Animal Virus Infections Studies 2
- Co-authors
- Zihe Rao (7 shared papers)George F. Gao (4 shared papers)Zhiyong Lou (4 shared papers)Hao Pang (2 shared papers)Mark G. Bartlam (4 shared papers)Maojun Yang (2 shared papers)Yi Ding (1 shared paper)Sheng Ye (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Protein Expression and Purification (1 paper)Proceedings of the National Academy of Sciences (1 paper)Acta Crystallographica Section D Biological Crystallography (2 papers)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Yiwei Liu
7 papers receiving 994 citations
Yiwei Liu's Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 595
- Computational Theory and Mathematics 414
- Animal Science and Zoology 146
- Molecular Biology 333
- Pharmacology 39
Countries citing papers authored by Yiwei Liu
This map shows the geographic impact of Yiwei 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 Yiwei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwei Liu more than expected).
Fields of papers citing papers by Yiwei Liu
This network shows the impact of papers produced by Yiwei 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 Yiwei Liu. The network helps show where Yiwei Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwei 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
| # | Work | ||
|---|---|---|---|
| 1 | The crystal structures of severe acute respiratory syndrome virus main protease and its complex with an inhibitor Hit paper breakdown → | 2003 | 818 |
| 2 | 2004 | 109 | |
| 3 | 2004 | 31 | |
| 4 | 2006 | 27 | |
| 5 | 2004 | 20 | |
| 6 | 2004 | 8 | |
| 7 | 2001 | 5 |
About Yiwei Liu
Yiwei Liu is a scholar working on Animal Science and Zoology, Cancer Research, Cell Biology, Infectious Diseases and Epidemiology, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (2 papers), Virus-based gene therapy research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Virology and Viral Diseases (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper) and Plant Virus Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (595 citations), Computational Theory and Mathematics (414 citations), Animal Science and Zoology (146 citations), Molecular Biology (333 citations) and Pharmacology (39 citations). Yiwei Liu has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Zihe Rao, George F. Gao, Zhiyong Lou, Hao Pang, Mark G. Bartlam, Maojun Yang, Yi Ding, Sheng Ye, Rolf Hilgenfeld and Zhe Zhou. Their work appears in journals such as Journal of Biological Chemistry, Protein Expression and Purification, Proceedings of the National Academy of Sciences and Acta Crystallographica Section D Biological Crystallography.
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.