Liwei Chen
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Protein Tyrosine Phosphatases 7
- Protein Kinase Regulation and GTPase Signaling 3
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 2
- Oncology 14
- Cancer Immunotherapy and Biomarkers 3
- Cancer Cells and Metastasis 2
- Co-authors
- Jie Wu (9 shared papers)Harshani R. Lawrence (6 shared papers)Saı̈d M. Sebti (6 shared papers)Nicholas J. Lawrence (5 shared papers)Hua Guo (6 shared papers)Yuchao He (5 shared papers)Wayne C. Guida (3 shared papers)Lisha Qi (4 shared papers)
- Journals
- Cancer Letters (2 papers)Clinical Cancer Research (2 papers)Cancer Medicine (2 papers)Journal of Cancer Research and Clinical Oncology (1 paper)Cancer Control (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Liwei Chen
37 papers receiving 747 citations
Peers
Comparison fields: 5 of 81
- Toxicology 42
- Oncology 199
- Cancer Research 99
- Immunology 136
- Molecular Biology 409
Countries citing papers authored by Liwei Chen
This map shows the geographic impact of Liwei Chen'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 Liwei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liwei Chen more than expected).
Fields of papers citing papers by Liwei Chen
This network shows the impact of papers produced by Liwei Chen. 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 Liwei Chen. The network helps show where Liwei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Liwei Chen, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 81 | |
| 2 | 2005 | 77 | |
| 3 | 2022 | 64 | |
| 4 | 2019 | 57 | |
| 5 | 2017 | 57 | |
| 6 | 2010 | 38 | |
| 7 | 2015 | 34 | |
| 8 | 2010 | 31 | |
| 9 | 2021 | 26 | |
| 10 | 2012 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2012 | 24 | |
| 14 | 2023 | 21 | |
| 15 | 2015 | 18 | |
| 16 | 2023 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2020 | 13 | |
| 19 | 2012 | 12 | |
| 20 | 2022 | 10 |
About Liwei Chen
Liwei Chen is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Cancer Research, having authored 38 papers that have together received 753 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (7 papers), Galectins and Cancer Biology (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Toxicology (42 citations), Oncology (199 citations), Cancer Research (99 citations), Immunology (136 citations) and Molecular Biology (409 citations). Liwei Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jie Wu, Harshani R. Lawrence, Saı̈d M. Sebti, Nicholas J. Lawrence, Hua Guo, Yuchao He, Wayne C. Guida, Lisha Qi, Ning Zhang and Hui Fu. Their work appears in journals such as Cancer Letters, Clinical Cancer Research, Cancer Medicine, Journal of Cancer Research and Clinical Oncology and Cancer Control.
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.