Xuan Liu
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Virology top 5%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 5
- Viral Infections and Vectors 5
- Viral Infections and Outbreaks Research 4
-
- Medical Imaging Techniques and Applications 12
- Advanced MRI Techniques and Applications 7
- Co-authors
- Arnold Berk (2 shared papers)Phillip H. Koeffler (1 shared paper)Carl W. Miller (1 shared paper)Michel Defrise (3 shared papers)S. Rubin Bose (1 shared paper)David R. Hotchkiss (1 shared paper)Yanwen Jin (6 shared papers)Ting Gao (6 shared papers)
- Journals
- Journal of Virology (4 papers)Molecular and Cellular Biology (3 papers)PLoS ONE (2 papers)eLife (2 papers)BMJ Open (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xuan Liu
77 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 150
- Infectious Diseases 471
- Virology 75
- Radiology, Nuclear Medicine and Imaging 258
- Oncology 301
- Immunology 225
Countries citing papers authored by Xuan Liu
This map shows the geographic impact of Xuan 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 Xuan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuan Liu more than expected).
Fields of papers citing papers by Xuan Liu
This network shows the impact of papers produced by Xuan 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 Xuan Liu. The network helps show where Xuan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuan 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 230 | |
| 2 | 1993 | 219 | |
| 3 | 2007 | 110 | |
| 4 | 2001 | 103 | |
| 5 | 2008 | 82 | |
| 6 | 1999 | 64 | |
| 7 | 2002 | 62 | |
| 8 | 2004 | 61 | |
| 9 | 2020 | 56 | |
| 10 | 1998 | 52 | |
| 11 | 2013 | 50 | |
| 12 | 1999 | 49 | |
| 13 | 2003 | 47 | |
| 14 | 1995 | 47 | |
| 15 | 2003 | 44 | |
| 16 | 2020 | 40 | |
| 17 | 2020 | 40 | |
| 18 | 2010 | 30 | |
| 19 | 2002 | 28 | |
| 20 | 2011 | 28 |
About Xuan Liu
Xuan Liu is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering and Oncology, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Advanced X-ray and CT Imaging (8 papers), Advanced MRI Techniques and Applications (7 papers), Cancer-related Molecular Pathways (6 papers), COVID-19 Clinical Research Studies (5 papers), Viral Infections and Vectors (5 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Infectious Diseases (471 citations), Virology (75 citations), Radiology, Nuclear Medicine and Imaging (258 citations), Oncology (301 citations) and Immunology (225 citations). Xuan Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Arnold Berk, Phillip H. Koeffler, Carl W. Miller, Michel Defrise, S. Rubin Bose, David R. Hotchkiss, Yanwen Jin, Ting Gao, Yong Hu and Ping Li. Their work appears in journals such as Journal of Virology, Molecular and Cellular Biology, PLoS ONE, eLife and BMJ Open.
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.