Sha Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 16
- CAR-T cell therapy research 9
- Lymphatic System and Diseases 3
- Cancer Immunotherapy and Biomarkers 3
- Immunology 15
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 4
- Immune cells in cancer 3
- Co-authors
- Wei Wang (8 shared papers)Lei Huang (6 shared papers)Wen-Fei Wei (6 shared papers)Rui-Ming Yan (5 shared papers)Luo-Jiao Liang (5 shared papers)Xiang‐Guang Wu (4 shared papers)Xiaojing Chen (4 shared papers)Yanmei Zhang (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Molecular Therapy (2 papers)Cancer Letters (1 paper)Cellular Immunology (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Sha Wu
29 papers receiving 953 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 306
- Immunology 336
- Oncology 280
- Molecular Biology 453
- Obstetrics and Gynecology 39
Countries citing papers authored by Sha Wu
This map shows the geographic impact of Sha 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 Sha Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Wu more than expected).
Fields of papers citing papers by Sha Wu
This network shows the impact of papers produced by Sha 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 Sha Wu. The network helps show where Sha Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 162 | |
| 2 | 2021 | 108 | |
| 3 | 2019 | 103 | |
| 4 | 2019 | 100 | |
| 5 | 2018 | 85 | |
| 6 | 2020 | 85 | |
| 7 | 2021 | 42 | |
| 8 | 2019 | 37 | |
| 9 | 2021 | 35 | |
| 10 | 2009 | 32 | |
| 11 | 2017 | 24 | |
| 12 | 2008 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2014 | 16 | |
| 15 | 2020 | 16 | |
| 16 | 2010 | 14 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2019 | 8 |
About Sha Wu
Sha Wu is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 33 papers that have together received 956 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Extracellular vesicles in disease (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), Virus-based gene therapy research (4 papers), Lymphatic System and Diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cancer Research (306 citations), Immunology (336 citations), Oncology (280 citations), Molecular Biology (453 citations) and Obstetrics and Gynecology (39 citations). Sha Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wei Wang, Lei Huang, Wen-Fei Wei, Rui-Ming Yan, Luo-Jiao Liang, Xiang‐Guang Wu, Xiaojing Chen, Yanmei Zhang, Mei Zhong and Zi‐Ci Wang. Their work appears in journals such as Frontiers in Immunology, Molecular Therapy, Cancer Letters, Cellular Immunology and Molecular Carcinogenesis.
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.