Meng-Fen Wu
Impact in
- Oncology top 1%
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
- Viral-associated cancers and disorders
- Cancer Cells and Metastasis
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
-
- Renal Transplantation Outcomes and Treatments 4
- Oncology 29
- CAR-T cell therapy research 11
- Pancreatic and Hepatic Oncology Research 6
- Co-authors
- Susan G. HilsenbeckHao LiuHelen E. HeslopMalcolm K. BrennerCliona M. RooneyMichael T. LewisCatherine M. BollardKaren S. Slobod
- Journals
- Blood (5 papers)Clinical Cancer Research (3 papers)Journal of Surgical Research (2 papers)HPB (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Meng-Fen Wu
43 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Oncology 1.9k
- Immunology 642
- Transplantation 72
- Genetics 537
- Genetics 144
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-authorship network
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 | 2025 | 2 | |
| 2 | Long-term outcomes of GD2-directed CAR-T cell therapy in patients with neuroblastoma Hit paper breakdown → | 2025 | 14 |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 36 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 49 | |
| 9 | 2023 | 30 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 6 | |
| 12 | 2018 | 34 | |
| 13 | 2018 | 23 | |
| 14 | 2017 | 339 | |
| 15 | 2012 | 42 | |
| 16 | 2011 | 44 | |
| 17 | 2010 | 66 | |
| 18 | 2010 | 31 | |
| 19 | 2008 | 21 | |
| 20 | 2008 | 49 |
About Meng-Fen Wu
Meng-Fen Wu is a scholar working on Transplantation, Oncology, Hepatology, Hematology and Pathology and Forensic Medicine, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Virus-based gene therapy research (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cytomegalovirus and herpesvirus research (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Pancreatitis Pathology and Treatment (4 papers), Hedgehog Signaling Pathway Studies (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology (642 citations), Transplantation (72 citations), Genetics (537 citations) and Genetics (144 citations). Meng-Fen Wu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Susan G. Hilsenbeck, Hao Liu, Helen E. Heslop, Malcolm K. Brenner, Cliona M. Rooney, Michael T. Lewis, Catherine M. Bollard, Karen S. Slobod, Gregory A. Hale and Colton A. Smith. Their work appears in journals such as Blood, Clinical Cancer Research, Journal of Surgical Research, HPB and Journal of Clinical Oncology.
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.