Dongrui Wang

3.8k total citations · 2 hit papers
39 papers, 1.9k citations indexed

About

Dongrui Wang is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Dongrui Wang has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 15 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Dongrui Wang's work include CAR-T cell therapy research (31 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers) and Immune Cell Function and Interaction (9 papers). Dongrui Wang is often cited by papers focused on CAR-T cell therapy research (31 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers) and Immune Cell Function and Interaction (9 papers). Dongrui Wang collaborates with scholars based in United States, China and France. Dongrui Wang's co-authors include Christine E. Brown, Xianlin Wu, Yingli Sun, Darya Alizadeh, Stephen J. Forman, Renate Starr, Brenda Aguilar, Xin Yang, Alfonso Brito and Joseph R. Pecoraro and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dongrui Wang

36 papers receiving 1.9k citations

Hit Papers

IL15 Enhances CAR-T Cell Antitumor Activity by Reducing m... 2019 2026 2021 2023 2019 2022 100 200 300

Peers

Dongrui Wang
Rosalie M. Sterner United States
Robert C. Sterner United States
Selene Nuñez-Cruz United States
Bizhi Shi China
Mark B. Leick United States
Giedre Krenciute United States
Evripidis Lanitis Switzerland
Meera Murgai United States
Liza B. John Australia
Rosalie M. Sterner United States
Dongrui Wang
Citations per year, relative to Dongrui Wang Dongrui Wang (= 1×) peers Rosalie M. Sterner

Countries citing papers authored by Dongrui Wang

Since Specialization
Citations

This map shows the geographic impact of Dongrui Wang'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 Dongrui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongrui Wang more than expected).

Fields of papers citing papers by Dongrui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongrui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongrui Wang. A scholar is included among the top collaborators of Dongrui Wang 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 Dongrui Wang. Dongrui Wang 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.
Barish, Michael E., Maryam Aftabizadeh, M. Suzette Blanchard, et al.. (2025). Chlorotoxin-directed CAR T cell therapy for recurrent glioblastoma: Interim clinical experience demonstrating feasibility and safety. Cell Reports Medicine. 6(8). 102302–102302. 2 indexed citations
2.
Sun, Xiaoyang, et al.. (2025). Circadian rhythm in immunotherapy and cellular therapy: impacts on the tumor microenvironment. Acta Biochimica et Biophysica Sinica. 58(1). 90–105.
4.
Liu, Xiao‐Lan, Xufeng Cen, Ziyan Chen, et al.. (2023). ARIH1 activates STING-mediated T-cell activation and sensitizes tumors to immune checkpoint blockade. Nature Communications. 14(1). 4066–4066. 30 indexed citations
5.
Liu, Zongzhi, Yibo Gao, Jiejie Liu, et al.. (2023). Epigenetic reprogramming of Runx3 reinforces CD8 + T-cell function and improves the clinical response to immunotherapy. Molecular Cancer. 22(1). 84–84. 31 indexed citations
6.
Yang, Yan, Minjie Wang, Feng Gao, et al.. (2023). The Effect and Mechanism of Syringa pinnatifolia Hemsl. Ligans on Cerebral Ischemia-Reperfusion Injury and Oxidative Stress in Mice. Neurochemical Research. 48(6). 1822–1834. 5 indexed citations
7.
Zhang, Mingming, Guoqing Wei, Linghui Zhou, et al.. (2023). GPRC5D CAR T cells (OriCAR-017) in patients with relapsed or refractory multiple myeloma (POLARIS): a first-in-human, single-centre, single-arm, phase 1 trial. The Lancet Haematology. 10(2). e107–e116. 91 indexed citations
8.
Sahoo, Prativa, et al.. (2023). Modeling interaction of Glioma cells and CAR T-cells considering multiple CAR T-cells bindings. SHILAP Revista de lepidopterología. 9. 100022–100022. 10 indexed citations
9.
Luo, Yi, Lei Gao, Jia Liu, et al.. (2023). Donor-derived Anti-CD19 CAR T cells GC007g for relapsed or refractory B-cell acute lymphoblastic leukemia after allogeneic HSCT: a phase 1 trial. EClinicalMedicine. 67. 102377–102377. 9 indexed citations
10.
Wang, Dongrui, et al.. (2022). Potency monitoring of CAR T cells. Methods in cell biology. 173. 173–189.
11.
Wang, Dongrui, Xianlin Wu, & Yingli Sun. (2022). Therapeutic targets and biomarkers of tumor immunotherapy: response versus non-response. Signal Transduction and Targeted Therapy. 7(1). 331–331. 312 indexed citations breakdown →
12.
Alizadeh, Darya, Robyn A. Wong, Sharareh Gholamin, et al.. (2021). IFNγ Is Critical for CAR T Cell–Mediated Myeloid Activation and Induction of Endogenous Immunity. Cancer Discovery. 11(9). 2248–2265. 103 indexed citations
13.
Badie, Behnam, Michael E. Barish, Ammar Chaudhry, et al.. (2021). A phase 1 study to evaluate chimeric antigen receptor (CAR) T cells incorporating a chlorotoxin tumor-targeting domain for patients with MMP2+ Recurrent or progressive glioblastoma (NCT04214392).. Journal of Clinical Oncology. 39(15_suppl). TPS2662–TPS2662. 9 indexed citations
14.
Wang, Dongrui, Briana C. Prager, Ryan C. Gimple, et al.. (2020). CRISPR Screening of CAR T Cells and Cancer Stem Cells Reveals Critical Dependencies for Cell-Based Therapies. Cancer Discovery. 11(5). 1192–1211. 121 indexed citations
15.
Sahoo, Prativa, Xin Yang, Daniel Abler, et al.. (2020). Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data. Journal of The Royal Society Interface. 17(162). 20190734–20190734. 68 indexed citations
16.
Alizadeh, Darya, Robyn A. Wong, Xin Yang, et al.. (2019). IL15 Enhances CAR-T Cell Antitumor Activity by Reducing mTORC1 Activity and Preserving Their Stem Cell Memory Phenotype. Cancer Immunology Research. 7(5). 759–772. 324 indexed citations breakdown →
17.
Wang, Dongrui, Renate Starr, Darya Alizadeh, et al.. (2019). In Vitro Tumor Cell Rechallenge For Predictive Evaluation of Chimeric Antigen Receptor T Cell Antitumor Function. Journal of Visualized Experiments. 16 indexed citations
18.
Wang, Dongrui, Brenda Aguilar, Renate Starr, et al.. (2018). Glioblastoma-targeted CD4+ CAR T cells mediate superior antitumor activity. JCI Insight. 3(10). 162 indexed citations
19.
Portnow, Jana, Timothy W. Synold, Vivian Chiu, et al.. (2018). ATIM-17. PEMBROLIZUMAB BLOCKS PD-1 ON CAR T CELLS ADMINISTERED INTRAVENTRICULARLY TO GLIOBLASTOMA PATIENTS. Neuro-Oncology. 20(suppl_6). vi4–vi4. 1 indexed citations
20.
Xiao, Lu, Xiaoying Lan, Xianping Shi, et al.. (2017). Cytoplasmic RAP1 mediates cisplatin resistance of non-small cell lung cancer. Cell Death and Disease. 8(5). e2803–e2803. 66 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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