Wuping Li
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Infectious Diseases top 10%
- Parvovirus B19 Infection Studies
Papers in
-
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Miao He (5 shared papers)Lei Ye (5 shared papers)Matthew L. Hirsch (3 shared papers)Changqing Li (2 shared papers)Zhong Liu (4 shared papers)Jiaqi Cao (3 shared papers)Lei Gao (2 shared papers)Qingan Wang (1 shared paper)
- Journals
- PLoS ONE (4 papers)Transfusion (2 papers)Cancer Biomarkers (2 papers)Oncotarget (2 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wuping Li
34 papers receiving 500 citations
Peers
Comparison fields: 5 of 77
- Hepatology 53
- Infectious Diseases 125
- Health, Toxicology and Mutagenesis 64
- Dermatology 38
- Cancer Research 56
Countries citing papers authored by Wuping Li
This map shows the geographic impact of Wuping Li'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 Wuping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuping Li more than expected).
Fields of papers citing papers by Wuping Li
This network shows the impact of papers produced by Wuping Li. 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 Wuping Li. The network helps show where Wuping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wuping Li, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 69 | |
| 2 | 2017 | 49 | |
| 3 | 2011 | 46 | |
| 4 | 2012 | 42 | |
| 5 | 2017 | 40 | |
| 6 | 2015 | 38 | |
| 7 | 2006 | 33 | |
| 8 | 2017 | 22 | |
| 9 | 2014 | 19 | |
| 10 | 2012 | 18 | |
| 11 | 2012 | 17 | |
| 12 | 2013 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2009 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2017 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2020 | 6 |
About Wuping Li
Wuping Li is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases and Hematology, having authored 36 papers that have together received 509 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Parvovirus B19 Infection Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer, Lipids, and Metabolism (2 papers), Blood transfusion and management (2 papers), Hepatitis C virus research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (53 citations), Infectious Diseases (125 citations), Health, Toxicology and Mutagenesis (64 citations), Dermatology (38 citations) and Cancer Research (56 citations). Wuping Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Miao He, Lei Ye, Matthew L. Hirsch, Changqing Li, Zhong Liu, Jiaqi Cao, Lei Gao, Qingan Wang, Fangfang Tou and Shuofeng Zhang. Their work appears in journals such as PLoS ONE, Transfusion, Cancer Biomarkers, Oncotarget and Journal of Translational Medicine.
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.