Wei Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 5
- RNA Interference and Gene Delivery 5
- Oncology 18
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Lijuan Zhou (1 shared paper)Lei Dang (1 shared paper)Hongjie Huang (1 shared paper)Keke Yi (1 shared paper)Ping Wu (1 shared paper)Ke Duan (1 shared paper)Xing Wu (5 shared papers)Yi‐Gang Wan (16 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Frontiers in Oncology (3 papers)Frontiers in Medicine (3 papers)Journal of Periodontal Research (2 papers)Biomaterials Science (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Wu
166 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 162
- Cancer Research 380
- Hepatology 184
- Biological Psychiatry 54
- Nephrology 117
- Immunology 341
Countries citing papers authored by Wei Wu
This map shows the geographic impact of Wei 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 Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wu more than expected).
Fields of papers citing papers by Wei Wu
This network shows the impact of papers produced by Wei 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 Wei Wu. The network helps show where Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 263 | |
| 2 | 2008 | 140 | |
| 3 | 2019 | 130 | |
| 4 | 2011 | 119 | |
| 5 | Quantitative analysis of vascular endothelial growth factor, microvascular density and their clinicopathologic features in human hepatocellular carcinoma. | 2005 | 108 |
| 6 | 2021 | 106 | |
| 7 | 2018 | 97 | |
| 8 | 2010 | 83 | |
| 9 | 2014 | 83 | |
| 10 | 2011 | 77 | |
| 11 | 2020 | 72 | |
| 12 | 2009 | 64 | |
| 13 | 2018 | 63 | |
| 14 | 2013 | 58 | |
| 15 | 2012 | 56 | |
| 16 | 2020 | 53 | |
| 17 | 2021 | 53 | |
| 18 | 2018 | 53 | |
| 19 | [Antagonistic effect of hydroxysafflor yellow A on the platelet activating factor receptor]. | 2002 | 52 |
| 20 | 2013 | 49 |
About Wei Wu
Wei Wu is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Biomedical Engineering, having authored 176 papers that have together received 3.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (9 papers), Autophagy in Disease and Therapy (7 papers), Liver Disease Diagnosis and Treatment (7 papers), CAR-T cell therapy research (6 papers), Glycosylation and Glycoproteins Research (5 papers), RNA Interference and Gene Delivery (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Chronic Kidney Disease and Diabetes (5 papers). The work is most often cited by research in Cancer Research (380 citations), Hepatology (184 citations), Biological Psychiatry (54 citations), Nephrology (117 citations) and Immunology (341 citations). Wei Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lijuan Zhou, Lei Dang, Hongjie Huang, Keke Yi, Ping Wu, Ke Duan, Xing Wu, Yi‐Gang Wan, Yue Tu and Yi Dong. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, Frontiers in Medicine, Journal of Periodontal Research and Biomaterials Science.
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.