Meng Wu

1.6k total citations
31 papers, 1.2k citations indexed

About

Meng Wu is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Meng Wu has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 14 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Meng Wu's work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (6 papers) and CAR-T cell therapy research (5 papers). Meng Wu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (6 papers) and CAR-T cell therapy research (5 papers). Meng Wu collaborates with scholars based in China, United States and United Kingdom. Meng Wu's co-authors include Hugues J.‐P. Ryser, F Ghani, Derek Peak, Richard Mandel, Jinming Yu, Dawei Chen, Xiaochuan Hong, Liufu Deng, Jingsi Jin and Yuanqin Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Cancer Research.

In The Last Decade

Meng Wu

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Meng Wu China 12 513 485 463 190 143 31 1.2k
Norma Bloy France 19 776 1.5× 483 1.0× 841 1.8× 63 0.3× 113 0.8× 39 1.5k
Simone Gaedicke Germany 18 497 1.0× 362 0.7× 354 0.8× 141 0.7× 107 0.7× 27 1.0k
Thomas Bukur Germany 12 445 0.9× 646 1.3× 751 1.6× 92 0.5× 62 0.4× 21 1.4k
Mary A. Markiewicz United States 21 451 0.9× 419 0.9× 1.2k 2.7× 77 0.4× 60 0.4× 46 1.8k
Layla J. Barkal United States 7 474 0.9× 587 1.2× 1.0k 2.2× 200 1.1× 130 0.9× 11 1.6k
Alexandra Flemming United States 16 237 0.5× 526 1.1× 554 1.2× 78 0.4× 57 0.4× 177 1.3k
Niranjan B. Pandey United States 22 550 1.1× 651 1.3× 438 0.9× 108 0.6× 110 0.8× 34 1.5k
Raquel Blanco Spain 15 403 0.8× 1.4k 2.8× 322 0.7× 78 0.4× 86 0.6× 18 1.9k
Irina Larionova Russia 19 460 0.9× 530 1.1× 770 1.7× 106 0.6× 162 1.1× 40 1.4k

Countries citing papers authored by Meng Wu

Since Specialization
Citations

This map shows the geographic impact of Meng 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 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 Wu more than expected).

Fields of papers citing papers by Meng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng 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 Wu. The network helps show where Meng Wu may publish in the future.

Co-authorship network of co-authors of Meng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Wu. A scholar is included among the top collaborators of Meng 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 Wu. Meng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Zengfu, Tian Chen, Xu Liu, et al.. (2025). Sonrotoclax (BGB-11417) synergistically amplifies the radiotherapy-elicited anti-tumor immune response. Cancer Letters. 625. 217759–217759. 2 indexed citations
2.
Li, Xinpei, Qing Li, Zhen Zhai, et al.. (2025). Bifidobacterium animalis suppresses non-small cell lung cancer progression and modulates tumor immunity through indole-3-acetic acid. Cell Reports. 44(8). 116132–116132. 2 indexed citations
4.
Li, Xinyang, et al.. (2024). Interleukin-21 as an adjuvant in cancer immunotherapy: Current advances and future directions. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(2). 189084–189084.
6.
Yu, Ting, Xinyang Li, Minxin Chen, et al.. (2024). Targeting tumor-intrinsic SLC16A3 to enhance anti-PD-1 efficacy via tumor immune microenvironment reprogramming. Cancer Letters. 589. 216824–216824. 21 indexed citations
7.
Yan, Weiwei, Xi Chen, Vivek Verma, et al.. (2024). Potential Role of Lymphocyte CD44 in Determining Treatment Selection Between Stereotactic Body Radiation Therapy and Surgery for Early-Stage Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(1). 89–101. 1 indexed citations
8.
Wu, Fei, Changyan Xiao, Xiaozheng Chen, et al.. (2023). Inhibition of CDC20 potentiates anti-tumor immunity through facilitating GSDME-mediated pyroptosis in prostate cancer. Experimental Hematology and Oncology. 12(1). 67–67. 26 indexed citations
9.
Gutierrez, Martin, Elena Garralda, Emiliano Calvo, et al.. (2023). 1074TiP A phase I/II, open label, first-in-human, dose escalation and expansion study of SAR445877 administered as monotherapy in adults with advanced solid tumors. Annals of Oncology. 34. S646–S647. 2 indexed citations
10.
He, Jing, et al.. (2023). Single-cell RNA sequencing in double-hit lymphoma: IMPDH2 induces the progression of lymphoma by activating the PI3K/AKT/mTOR signaling pathway. International Immunopharmacology. 125(Pt A). 111125–111125. 7 indexed citations
11.
Huang, Yiheng, Minxin Chen, Fei Wu, et al.. (2023). Inhibition of tumor intrinsic BANF1 activates antitumor immune responses via cGAS-STING and enhances the efficacy of PD-1 blockade. Journal for ImmunoTherapy of Cancer. 11(8). e007035–e007035. 11 indexed citations
12.
Wen, Weitao, et al.. (2023). Exploring low-dose radiotherapy to overcome radio-immunotherapy resistance. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(7). 166789–166789. 8 indexed citations
13.
Yu, Zhiyong, Dawei Chen, Vivek Verma, et al.. (2022). Pivotal roles of tumor‐draining lymph nodes in the abscopal effects from combined immunotherapy and radiotherapy. Cancer Communications. 42(10). 971–986. 30 indexed citations
15.
Wang, Ruiyang, et al.. (2022). Treatment Patterns for Patients With Unresected Stage III NSCLC: Analysis of the Surveillance, Epidemiology, and End Results (SEER) Database. Frontiers in Oncology. 12. 874022–874022. 6 indexed citations
16.
Liu, Jie, Vivek Verma, Meng Wu, et al.. (2021). Combined treatment of non‐small cell lung cancer using radiotherapy and immunotherapy: challenges and updates. Cancer Communications. 41(11). 1086–1099. 52 indexed citations
17.
Song, Yuqin, Ye Guo, Meng Wu, et al.. (2021). A Dose Escalation Phase Ia Study of Anti-CD20 Antibody Drug Conjugate, MRG001 in Relapsed/Refractory Advanced Non-Hodgkin Lymphom. Blood. 138(Supplement 1). 2490–2490. 2 indexed citations
18.
Liu, Weiping, Meng Wu, Yan Xie, et al.. (2020). Autologous hematopoietic stem cell transplantation with inadequate stem cell dose in patients with non-Hodgkin lymphoma. Leukemia & lymphoma. 62(2). 323–329. 3 indexed citations
19.
Wu, Meng, John F. Heneghan, David H. Vandorpe, et al.. (2016). Extracellular Cl− regulates human SO4 2−/anion exchanger SLC26A1 by altering pH sensitivity of anion transport. Pflügers Archiv - European Journal of Physiology. 468(8). 1311–1332. 17 indexed citations
20.
Hegde, Meenakshi, Amanda Corder, Kevin Chow, et al.. (2013). Combinational Targeting Offsets Antigen Escape and Enhances Effector Functions of Adoptively Transferred T Cells in Glioblastoma. Molecular Therapy. 21(11). 2087–2101. 299 indexed citations

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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