Li Wu
Impact in
- Toxicology top 0.2%
- Bioactive Compounds and Antitumor Agents
- Immunology top 2%
- Galectins and Cancer Biology
Papers in
-
- Protein Tyrosine Phosphatases 66
- Protein Kinase Regulation and GTPase Signaling 8
- Biochemical and Molecular Research 8
- PI3K/AKT/mTOR signaling in cancer 8
- Immunology 43
- Galectins and Cancer Biology 34
- Co-authors
- Zhong‐Yin Zhang (33 shared papers)Zhong-Yin Zhang (15 shared papers)Yen‐Fang Keng (7 shared papers)David S. Lawrence (5 shared papers)Sijiu Liu (11 shared papers)Andrea Gunawan (14 shared papers)Alvan C. Hengge (5 shared papers)Kui Shen (3 shared papers)
- Journals
- Biochemistry (14 papers)Journal of Biological Chemistry (14 papers)Bioorganic & Medicinal Chemistry Letters (9 papers)Journal of Medicinal Chemistry (9 papers)Journal of the American Chemical Society (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Li Wu
151 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 137
- Toxicology 361
- Immunology 1.4k
- Molecular Biology 3.0k
- Organic Chemistry 517
- Oncology 418
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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 197 | |
| 2 | 2010 | 183 | |
| 3 | 2010 | 158 | |
| 4 | 2001 | 154 | |
| 5 | 2008 | 113 | |
| 6 | 2021 | 111 | |
| 7 | 1999 | 108 | |
| 8 | 1995 | 105 | |
| 9 | 2001 | 105 | |
| 10 | 2018 | 105 | |
| 11 | 2000 | 102 | |
| 12 | 2014 | 101 | |
| 13 | 2005 | 101 | |
| 14 | 1998 | 100 | |
| 15 | 2013 | 98 | |
| 16 | 2005 | 94 | |
| 17 | 1998 | 89 | |
| 18 | 1995 | 84 | |
| 19 | 1998 | 82 | |
| 20 | 2013 | 67 |
About Li Wu
Li Wu is a scholar working on Molecular Biology, Immunology, Plant Science, Organic Chemistry and Pharmacology, having authored 158 papers that have together received 4.9k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (66 papers), Galectins and Cancer Biology (34 papers), Carbohydrate Chemistry and Synthesis (12 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Biochemical and Molecular Research (8 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Microbial Natural Products and Biosynthesis (7 papers) and Fungal Biology and Applications (7 papers). The work is most often cited by research in Toxicology (361 citations), Immunology (1.4k citations), Molecular Biology (3.0k citations), Organic Chemistry (517 citations) and Oncology (418 citations). Li Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhong‐Yin Zhang, Zhong-Yin Zhang, Yen‐Fang Keng, David S. Lawrence, Sijiu Liu, Andrea Gunawan, Alvan C. Hengge, Kui Shen, Yantao He and Wu‐Yi Sun. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Journal of the American Chemical Society.
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.