Meng-Fen Wu

7.1k citations
18 papers · 2.9k indexed · 1 hit paper · h-index 16

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

    • CAR-T cell therapy research 8
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 2

Meng-Fen Wu

18 papers receiving 2.9k citations

Hit Papers

Antitumor activity and long-term fate of chimeric antigen receptor–positive T cells in patients with neuroblastoma 2011 · 882 citations
8822011202620162021250500750

Peers

Meng-Fen Wu
Comparison fields: 5 of 76
  • Oncology 2.4k
  • Immunology 1.0k
  • Genetics 743
  • Genetics 194
  • Hematology 191
Replace Rebecca C. Larson with:
Rebecca C. Larson United States
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Hanren Dai China
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Meng-Fen Wu relative to Rebecca C. Larson United States Rebecca C. Larson's profile →
Citations per field
00.5×10×15×20.7×
Rebecca C. Larson · 1×
Citations per year

Countries citing papers authored by Meng-Fen Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Meng-Fen Wu Line = papers co-authored together Meng-Fen Wu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017255
2 2017279
3 2016234
4 201515
5 201568
6 2014145
7 2014139
8 2012196
9 201253
10 201212
11 201150
12 2011131
13
Antitumor activity and long-term fate of chimeric antigen receptor–positive T cells in patients with neuroblastoma
Hit paper breakdown →
2011882
14 2010160
15 2010190
16 200917
17 200865
18 200716

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.

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