Meng‐Fen Wu

1.6k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Meng‐Fen Wu is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Meng‐Fen Wu has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Immunology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Meng‐Fen Wu's work include CAR-T cell therapy research (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Immune Cell Function and Interaction (6 papers). Meng‐Fen Wu is often cited by papers focused on CAR-T cell therapy research (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Immune Cell Function and Interaction (6 papers). Meng‐Fen Wu collaborates with scholars based in United States, Switzerland and Russia. Meng‐Fen Wu's co-authors include Helen E. Heslop, Stephen Gottschalk, Malcolm K. Brenner, Catherine M. Bollard, Adrian P. Gee, Cliona M. Rooney, George Carrum, Hao Liu, Vicky Torrano and Heidi L. Weiss and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

In The Last Decade

Meng‐Fen Wu

15 papers receiving 1.1k citations

Hit Papers

Sustained Complete Responses in Patients With Lymphoma Re... 2013 2026 2017 2021 2013 100 200 300

Peers

Meng‐Fen Wu
Comparison fields: 5 of 51
  • Oncology 948
  • Immunology 581
  • Pathology and Forensic Medicine 317
  • Genetics 251
  • Molecular Biology 164
Replace Vicky Torrano with:
Vicky Torrano United States
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Quanshun Wang China
Heather Daley United States
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Vicky Torrano United States View profile →
Citations per field, relative to Meng‐Fen Wu
Meng‐Fen Wu · 1×
Citations per year, relative to Meng‐Fen Wu
Meng‐Fen Wu · 1×

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-authorship network of co-authors of Meng‐Fen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Fen Wu. A scholar is included among the top collaborators of Meng‐Fen Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meng‐Fen Wu. Meng‐Fen Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 193
3 23
4 13
5 17
6 6
7 56
8 28
9 9
10 2
11 22
12 55
13
Sustained Complete Responses in Patients With Lymphoma Receiving Autologous Cytotoxic T Lymphocytes Targeting Epstein-Barr Virus Latent Membrane Proteins breakdown →
384
14 2
15 83
16 213

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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