Ming Wang

2.3k total citations
71 papers, 1.5k citations indexed

About

Ming Wang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ming Wang has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 34 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Ming Wang's work include Immune Cell Function and Interaction (15 papers), Extracellular vesicles in disease (13 papers) and MicroRNA in disease regulation (8 papers). Ming Wang is often cited by papers focused on Immune Cell Function and Interaction (15 papers), Extracellular vesicles in disease (13 papers) and MicroRNA in disease regulation (8 papers). Ming Wang collaborates with scholars based in China, Germany and United States. Ming Wang's co-authors include Arthur L. Haas, Jennifer M. Klein, Jung‐Ja P. Kim, Zhuji Fu, Jana Narasimhan, Zhihai Qin, Yong Peng, Yugang Jiang, Xiaohan Yao and Sudhanshu Bhushan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ming Wang

68 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Wang China 20 804 619 327 243 148 71 1.5k
David Chisanga Australia 12 1.4k 1.7× 510 0.8× 732 2.2× 262 1.1× 114 0.8× 21 1.9k
Andrew C. Nelson United States 26 656 0.8× 652 1.1× 198 0.6× 424 1.7× 59 0.4× 85 1.9k
Abdelali Filali‐Mouhim Canada 20 432 0.5× 522 0.8× 100 0.3× 286 1.2× 136 0.9× 35 1.4k
Shixuan Wang China 28 1.1k 1.4× 435 0.7× 440 1.3× 507 2.1× 234 1.6× 106 2.3k
Mariacristina Crosti Italy 22 795 1.0× 1.4k 2.3× 273 0.8× 408 1.7× 69 0.5× 42 2.2k
Dany Perocheau United Kingdom 17 1.5k 1.9× 630 1.0× 645 2.0× 182 0.7× 133 0.9× 30 2.4k
Kathleen R. Braun United States 26 1.0k 1.2× 320 0.5× 357 1.1× 128 0.5× 100 0.7× 43 2.2k
Christina Mertens Germany 23 863 1.1× 753 1.2× 207 0.6× 280 1.2× 90 0.6× 41 2.1k
Reza Jafari Iran 25 1.1k 1.4× 357 0.6× 467 1.4× 196 0.8× 203 1.4× 57 1.9k

Countries citing papers authored by Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wang. A scholar is included among the top collaborators of Ming 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 Ming Wang. Ming 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.
Wang, Fazhan, Xiaohan Lou, Fang Wu, et al.. (2025). A Spleen‐Targeted Tolerogenic mRNA‐LNPs Vaccine for the Treatment of Experimental Asthma. Advanced Science. 12(13). e2412543–e2412543. 9 indexed citations
2.
Chen, Yuquan, Shanqing Xu, Kai Su, et al.. (2025). The role of phenotypic age acceleration in aneurysmal subarachnoid hemorrhage: analysis of retrospective data from two hospital-based cohorts and prospective UK Biobank cohort. International Journal of Surgery. 111(8). 5192–5204. 2 indexed citations
3.
Zhang, Meng, Shouying Du, Xiaohan Yao, et al.. (2025). Engineering a spleen-selective mRNA-LNPs vaccine by decoupling the inflammation from cellular immunity-mediated cancer immunotherapy. Theranostics. 15(18). 9643–9662.
4.
Li, Yongjuan, Yayun Wang, Xiaohan Lou, et al.. (2024). A polymeric nanoplatform enhances the cGAS-STING pathway in macrophages to potentiate phagocytosis for cancer immunotherapy. Journal of Controlled Release. 373. 447–462. 14 indexed citations
5.
Wang, Ming, et al.. (2024). Immune cell dynamics in male reproductive health: orchestrating immune privilege and inflammatory responses. SHILAP Revista de lepidopterología. 106–114. 1 indexed citations
6.
Zhang, Lijing, Xiaohan Lou, Yangyang Liu, et al.. (2023). Spleen-selective co-delivery of mRNA and TLR4 agonist-loaded LNPs for synergistic immunostimulation and Th1 immune responses. Journal of Controlled Release. 357. 133–148. 53 indexed citations
7.
8.
Feng, Zunyong, Jing Zhou, Qiang Li, et al.. (2023). Exosomal STIMATE derived from type II alveolar epithelial cells controls metabolic reprogramming of tissue-resident alveolar macrophages. Theranostics. 13(3). 991–1009. 28 indexed citations
9.
Chen, Ni, Xiaohan Lou, Xiaohan Yao, et al.. (2022). ZIP1+ fibroblasts protect lung cancer against chemotherapy via connexin-43 mediated intercellular Zn2+ transfer. Nature Communications. 13(1). 5919–5919. 22 indexed citations
10.
Liu, Xiaojie, Chi Liu, Ming Wang, et al.. (2022). Single-cell RNA transcriptomic analysis identifies Creb5 and CD11b-DCs as regulator of asthma exacerbations. Mucosal Immunology. 15(6). 1363–1374. 13 indexed citations
11.
Wang, Ming, Xudong Ma, Kang Zhou, et al.. (2021). Discovery of Pyrrole-imidazole Polyamides as PD-L1 Expression Inhibitors and Their Anticancer Activity via Immune and Nonimmune Pathways. Journal of Medicinal Chemistry. 64(9). 6021–6036. 11 indexed citations
12.
Wang, Ming, Jiaoying Jia, Yan Cui, Yong Peng, & Yugang Jiang. (2021). CD73-positive extracellular vesicles promote glioblastoma immunosuppression by inhibiting T-cell clonal expansion. Cell Death and Disease. 12(11). 1065–1065. 54 indexed citations
13.
Zhou, Jian, Jie Hu, Dawei Yang, et al.. (2020). High-throughput single-EV liquid biopsy: Rapid, simultaneous, and multiplexed detection of nucleic acids, proteins, and their combinations. Science Advances. 6(47). 104 indexed citations
14.
Zhou, Yang, Huidong Guo, Ming Wang, et al.. (2020). Th2 polarization in target organs is involved in the alleviation of pathological damage mediated by transplanting granulocyte colony-stimulating factor-primed donor T cells. Science China Life Sciences. 64(7). 1087–1096. 6 indexed citations
15.
16.
Wang, Yuan, Haiyang Liu, Yangyang Bian, et al.. (2020). Low SCRIB expression in fibroblasts promotes invasion of lung cancer cells. Life Sciences. 256. 117955–117955. 9 indexed citations
17.
Li, Shijun, et al.. (2019). Visual and Rapid Detection of Leptospira interrogans Using Multiple Cross-Displacement Amplification Coupled with Nanoparticle-Based Lateral Flow Biosensor. Vector-Borne and Zoonotic Diseases. 19(8). 604–612. 9 indexed citations
18.
19.
Li, Yan, Wenhua Ling, Huifang Xu, Ming Wang, & Changyou Wu. (2012). The activation and dynamics of cytokine expression by CD4+ T cells and AIDS progression in HIV-1-infected Chinese individuals. Microbial Pathogenesis. 53(5-6). 189–197. 4 indexed citations
20.
Wang, Ming, Yuhua Qiu, Xuelei Wang, et al.. (2010). Role of HLA‐G and NCR in protection of umbilical cord blood haematopoietic stem cells from NK cell mediated cytotoxicity. Journal of Cellular and Molecular Medicine. 15(10). 2040–2045. 3 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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