Li Wu
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Pharmacology top 2%
Papers in
-
- RNA Interference and Gene Delivery 6
- Pharmacology 14
- Plant-based Medicinal Research 5
- Co-authors
- Shizhong Zheng (21 shared papers)Jiangjuan Shao (20 shared papers)Huanhuan Jin (16 shared papers)Zhipeng Chen (26 shared papers)Weidong Li (22 shared papers)Baochang Cai (10 shared papers)Yin Lu (10 shared papers)Hao Cai (11 shared papers)
- Journals
- Journal of Ethnopharmacology (6 papers)International Immunopharmacology (3 papers)Theranostics (3 papers)IUBMB Life (3 papers)Biomedical Chromatography (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Li Wu
83 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 113
- Hepatology 305
- Pharmacology 235
- Cancer Research 269
- Complementary and alternative medicine 141
- Molecular Medicine 79
Countries citing papers authored by Li Wu
This map shows the geographic impact of Li Wu'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 Li Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Wu more than expected).
Fields of papers citing papers by Li Wu
This network shows the impact of papers produced by Li Wu. 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 Li Wu. The network helps show where Li Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Wu, 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 | 2020 | 143 | |
| 2 | 2021 | 135 | |
| 3 | 2016 | 130 | |
| 4 | 2022 | 127 | |
| 5 | 2015 | 86 | |
| 6 | 2015 | 79 | |
| 7 | 2017 | 61 | |
| 8 | 2017 | 61 | |
| 9 | 2015 | 61 | |
| 10 | 2013 | 59 | |
| 11 | 2018 | 54 | |
| 12 | 2015 | 53 | |
| 13 | 2018 | 51 | |
| 14 | 2018 | 47 | |
| 15 | 2017 | 47 | |
| 16 | 2016 | 45 | |
| 17 | 2016 | 44 | |
| 18 | 2016 | 43 | |
| 19 | 2014 | 41 | |
| 20 | 2016 | 41 |
About Li Wu
Li Wu is a scholar working on Molecular Biology, Pharmacology, Hepatology, Plant Science and Surgery, having authored 86 papers that have together received 2.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (13 papers), Phytochemistry and biological activity of medicinal plants (7 papers), RNA Interference and Gene Delivery (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Traditional Chinese Medicine Analysis (6 papers), Alcohol Consumption and Health Effects (5 papers), Plant-based Medicinal Research (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Hepatology (305 citations), Pharmacology (235 citations), Cancer Research (269 citations), Complementary and alternative medicine (141 citations) and Molecular Medicine (79 citations). Li Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shizhong Zheng, Jiangjuan Shao, Huanhuan Jin, Zhipeng Chen, Weidong Li, Baochang Cai, Yin Lu, Hao Cai, Lianyun Chen and Chunfeng Lu. Their work appears in journals such as Journal of Ethnopharmacology, International Immunopharmacology, Theranostics, IUBMB Life and Biomedical Chromatography.
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.