Meng-Fen Wu
Impact in
- Oncology top 1%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 11
- CAR-T cell therapy research 8
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- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 2
- Co-authors
- Hao LiuGianpietro DottiHelen E. HeslopBarbara SavoldoMalcolm K. BrennerCliona M. RooneyAdrian P. GeeZhuyong Mei
- Journals
- Blood (3 papers)Molecular Therapy (2 papers)Journal of Clinical Oncology (2 papers)Breast Cancer Research and Treatment (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Meng-Fen Wu
18 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Oncology 2.4k
- Immunology 1.0k
- Genetics 743
- Genetics 194
- Hematology 191
Countries citing papers authored by Meng-Fen Wu
This map shows the geographic impact of Meng-Fen 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 Meng-Fen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng-Fen Wu more than expected).
Fields of papers citing papers by Meng-Fen Wu
This network shows the impact of papers produced by Meng-Fen 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 Meng-Fen Wu. The network helps show where Meng-Fen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng-Fen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 255 | |
| 2 | 2017 | 279 | |
| 3 | 2016 | 234 | |
| 4 | 2015 | 15 | |
| 5 | 2015 | 68 | |
| 6 | 2014 | 145 | |
| 7 | 2014 | 139 | |
| 8 | 2012 | 196 | |
| 9 | 2012 | 53 | |
| 10 | 2012 | 12 | |
| 11 | 2011 | 50 | |
| 12 | 2011 | 131 | |
| 13 | Antitumor activity and long-term fate of chimeric antigen receptor–positive T cells in patients with neuroblastoma Hit paper breakdown → | 2011 | 882 |
| 14 | 2010 | 160 | |
| 15 | 2010 | 190 | |
| 16 | 2009 | 17 | |
| 17 | 2008 | 65 | |
| 18 | 2007 | 16 |
About Meng-Fen Wu
Meng-Fen Wu is a scholar working on Oncology, Immunology, Hematology, Genetics and Genetics, having authored 18 papers that have together received 2.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (6 papers), Hematopoietic Stem Cell Transplantation (3 papers), Virus-based gene therapy research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Immunotherapy and Immune Responses (2 papers), Estrogen and related hormone effects (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Oncology (2.4k citations), Immunology (1.0k citations), Genetics (743 citations), Genetics (194 citations) and Hematology (191 citations). Meng-Fen Wu has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Hao Liu, Gianpietro Dotti, Helen E. Heslop, Barbara Savoldo, Malcolm K. Brenner, Cliona M. Rooney, Adrian P. Gee, Zhuyong Mei, Stephen Gottschalk and Enli Liu. Their work appears in journals such as Blood, Molecular Therapy, Journal of Clinical Oncology, Breast Cancer Research and Treatment and Journal of Clinical Investigation.
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.