Wen Ma

751 total citations · 1 hit paper
32 papers, 552 citations indexed

About

Wen Ma is a scholar working on Oncology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Wen Ma has authored 32 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 11 papers in Molecular Biology and 10 papers in Biomedical Engineering. Recurrent topics in Wen Ma's work include Nanoplatforms for cancer theranostics (7 papers), CAR-T cell therapy research (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Wen Ma is often cited by papers focused on Nanoplatforms for cancer theranostics (7 papers), CAR-T cell therapy research (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Wen Ma collaborates with scholars based in China, United States and Russia. Wen Ma's co-authors include Guimei Chen, Ziyi Mai, Zhiqiang Yu, Ming Shi, Guang Li, Zhèn Yáng, Li Zha, Shuci Liu, Xing‐Jie Liang and Gui Chen and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and ACS Nano.

In The Last Decade

Wen Ma

27 papers receiving 541 citations

Hit Papers

An acid-responsive MOF nanomedicine for augmented anti-tu... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An acid-responsive MOF nanomedicine for augmented anti-tumor immunotherapy via a metal ion interference-mediated pyroptotic pathway
    2023 99 citations Gui Chen, Ling Lin et al. Biomaterials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Ma China 13 273 191 135 119 100 32 552
Kuirong Mao China 11 242 0.9× 208 1.1× 131 1.0× 77 0.6× 59 0.6× 25 492
Wenshe Sun China 12 413 1.5× 235 1.2× 80 0.6× 102 0.9× 178 1.8× 21 689
Yuanyuan Cheng China 10 304 1.1× 251 1.3× 80 0.6× 98 0.8× 83 0.8× 16 550
Siva Kumar Natarajan United States 13 300 1.1× 238 1.2× 226 1.7× 142 1.2× 92 0.9× 17 719
Rebecca C. Gilson United States 9 254 0.9× 214 1.1× 76 0.6× 90 0.8× 136 1.4× 13 593
Wan Su Yun South Korea 16 411 1.5× 241 1.3× 144 1.1× 131 1.1× 88 0.9× 25 726
Ali Tarighatnia Iran 11 298 1.1× 153 0.8× 71 0.5× 71 0.6× 89 0.9× 32 576
Hsi‐Chien Huang Taiwan 10 186 0.7× 269 1.4× 152 1.1× 75 0.6× 37 0.4× 15 520
Bozhao Li China 11 337 1.2× 271 1.4× 105 0.8× 141 1.2× 71 0.7× 20 719

Countries citing papers authored by Wen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Ma. A scholar is included among the top collaborators of Wen Ma 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 Wen Ma. Wen Ma 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
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Meng, Xiangyu, Yuening Wang, Lin Qiu, et al.. (2025). SERS Enhancement of CoSe2 Nanocages via Biphase Junction Strategy. Small. 21(20). e2500748–e2500748. 4 indexed citations
3.
Zhang, Jie, Wen Ma, Bo Wang, et al.. (2025). Semiconducting Open‐Shell Radicals for Precise Tumor Activatable Phototheranostics. Advanced Science. 12(17). e2500293–e2500293. 3 indexed citations
4.
Mao, Shuai, Yubin Liang, Zikang Chen, et al.. (2025). Adaptive bioactivable nanosystems for synergistic myocardial infarction therapy using traditional pharmaceutics. Bioactive Materials. 54. 648–665.
5.
6.
Zhang, Jing, et al.. (2025). From induced pluripotent stem cell (iPSC) to universal immune cells: literature review of advances in a new generation of tumor therapies. Translational Cancer Research. 14(4). 2495–2507. 2 indexed citations
7.
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Wang, Pu, Ying Liao, Xuan Zhao, et al.. (2024). Expand available targets for CAR-T therapy to overcome tumor drug resistance based on the "Evolutionary Traps". Pharmacological Research. 204. 107221–107221. 1 indexed citations
9.
Wang, Zhixiong, Wen Ma, Zhèn Yáng, et al.. (2024). A Type I Photosensitizer-Polymersome Boosts Reactive Oxygen Species Generation by Forcing H-Aggregation for Amplifying STING Immunotherapy. Journal of the American Chemical Society. 146(42). 28973–28984. 24 indexed citations
10.
Ma, Wen, et al.. (2023). Radiotherapy-activated tumor immune microenvironment: Realizing radiotherapy-immunity combination therapy strategies. Nano Today. 53. 102042–102042. 29 indexed citations
11.
Chen, Gui, Ling Lin, Ziyi Mai, et al.. (2023). An acid-responsive MOF nanomedicine for augmented anti-tumor immunotherapy via a metal ion interference-mediated pyroptotic pathway. Biomaterials. 302. 122333–122333. 99 indexed citations breakdown →
12.
Zhao, Xuan, Zijian Xu, Wen Ma, et al.. (2023). Long noncoding RNA NONHSAT160169.1 promotes resistance via hsa-let-7c-3p/SOX2 axis in gastric cancer. Scientific Reports. 13(1). 20858–20858. 3 indexed citations
13.
Zhao, Xuan, Sijin Li, Wen Ma, et al.. (2023). AURKA inhibitor-induced PD-L1 upregulation impairs antitumor immune responses. Frontiers in Immunology. 14. 1182601–1182601. 3 indexed citations
14.
Zhao, Xuan, Sijin Li, Xu Wang, et al.. (2022). From rough to precise: PD-L1 evaluation for predicting the efficacy of PD-1/PD-L1 blockades. Frontiers in Immunology. 13. 920021–920021. 35 indexed citations
15.
Cheng, Xingbo, Pengxu Li, Zhaoyue Yan, et al.. (2022). CLSPN is a potential biomarker associated with poor prognosis in low-grade gliomas based on a multi-database analysis. Current Research in Translational Medicine. 70(4). 103345–103345. 2 indexed citations
16.
Liu, Dan, Li Zha, Yuchen Liu, et al.. (2020). β2‐AR activation promotes cleavage and nuclear translocation of Her2 and metastatic potential of cancer cells. Cancer Science. 111(12). 4417–4428. 15 indexed citations
17.
Liu, Dan, Xuan Zhao, Anqun Tang, et al.. (2020). CRISPR screen in mechanism and target discovery for cancer immunotherapy. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1874(1). 188378–188378. 35 indexed citations
18.
Cao, Shuang, et al.. (2018). A Simplification Method of Point Cloud Data of Industrial Components Based on Surface Variation. Bulletin of Surveying and Mapping. 20. 1 indexed citations
19.
Ma, Wen, Xuan Zhang, Xiaoli Ma, et al.. (2016). Proapoptotic RYBP interacts with FANK1 and induces tumor cell apoptosis through the AP-1 signaling pathway. Cellular Signalling. 28(8). 779–787. 23 indexed citations
20.
Zhang, Junwen, Wen Ma, Shuo Tian, et al.. (2013). RanBPM interacts with TβRI, TRAF6 and curbs TGF induced nuclear accumulation of TβRI. Cellular Signalling. 26(1). 162–172. 14 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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