Shaobo Wang

2.9k total citations
41 papers, 1.5k citations indexed

About

Shaobo Wang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Shaobo Wang has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Shaobo Wang's work include MicroRNA in disease regulation (16 papers), Extracellular vesicles in disease (13 papers) and Circular RNAs in diseases (9 papers). Shaobo Wang is often cited by papers focused on MicroRNA in disease regulation (16 papers), Extracellular vesicles in disease (13 papers) and Circular RNAs in diseases (9 papers). Shaobo Wang collaborates with scholars based in China, United States and Norway. Shaobo Wang's co-authors include Hao Xue, Zongpu Zhang, Mingyu Qian, Xiaofan Guo, Gang Li, Xiao Gao, Jianye Xu, Zihang Chen, Wei Qiu and Rongrong Zhao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Shaobo Wang

39 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
Shaobo Wang China 21 1.1k 830 388 172 140 41 1.5k
Zongpu Zhang China 17 936 0.8× 718 0.9× 370 1.0× 125 0.7× 145 1.0× 23 1.2k
Chuan Fang China 23 854 0.8× 643 0.8× 196 0.5× 266 1.5× 159 1.1× 43 1.3k
Xiefeng Wang China 23 1.4k 1.2× 1.2k 1.5× 118 0.3× 208 1.2× 155 1.1× 45 1.8k
Raffaella Giuffrida Italy 14 920 0.8× 737 0.9× 112 0.3× 150 0.9× 181 1.3× 27 1.5k
Shihong Zhao China 15 447 0.4× 235 0.3× 263 0.7× 135 0.8× 123 0.9× 35 897
Yuhui Yang China 17 620 0.6× 398 0.5× 376 1.0× 305 1.8× 311 2.2× 41 1.4k
Shizhu Yu China 28 1.7k 1.5× 1.3k 1.6× 129 0.3× 154 0.9× 157 1.1× 55 2.1k
Ailiang Zeng China 24 1.7k 1.5× 1.5k 1.8× 102 0.3× 204 1.2× 123 0.9× 42 2.0k
Amanda Tivnan Ireland 15 875 0.8× 444 0.5× 92 0.2× 118 0.7× 187 1.3× 17 1.2k

Countries citing papers authored by Shaobo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaobo Wang. A scholar is included among the top collaborators of Shaobo 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 Shaobo Wang. Shaobo 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, Shaobo, Yuxiang Wang, Weimin Miao, et al.. (2025). Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China. BMC Women s Health. 25(1). 28–28. 1 indexed citations
2.
3.
Wang, Shaobo, et al.. (2024). MSC-derived exosomes deliver ZBTB4 to mediate transcriptional repression of ITIH3 in astrocytes in spinal cord injury. Brain Research Bulletin. 212. 110954–110954. 4 indexed citations
4.
Guo, Xiaofan, Yanhua Qi, Boyan Li, et al.. (2023). Neuronal Activity Promotes Glioma Progression by Inducing Proneural-to-Mesenchymal Transition in Glioma Stem Cells. Cancer Research. 84(3). 372–387. 25 indexed citations
5.
Zhang, Zeyu, et al.. (2023). Bismuth nanoclusters on nitrogen-doped porous carbon nanoenzyme for cancer therapy. Nanoscale. 15(41). 16619–16625. 8 indexed citations
6.
Guo, Xiaofan, Boyan Li, Yanhua Qi, et al.. (2023). Hypoxia-Induced Neuronal Activity in Glioma Patients Polarizes Microglia by Potentiating RNA m6A Demethylation. Clinical Cancer Research. 30(6). 1160–1174. 26 indexed citations
7.
Xu, Jianye, Zijie Gao, Kaining Liu, et al.. (2022). The Non-N6-Methyladenosine Epitranscriptome Patterns and Characteristics of Tumor Microenvironment Infiltration and Mesenchymal Transition in Glioblastoma. Frontiers in Immunology. 12. 809808–809808. 14 indexed citations
8.
Qi, Yanhua, Shaobo Wang, Boyan Li, et al.. (2022). Pancancer landscape analysis of the thymosin family identified TMSB10 as a potential prognostic biomarker and immunotherapy target in glioma. Cancer Cell International. 22(1). 294–294. 5 indexed citations
9.
Zhao, Rongrong, Boyan Li, Shulin Zhao, et al.. (2022). Comprehensive Analysis of the Tumor Immune Microenvironment Landscape in Glioblastoma Reveals Tumor Heterogeneity and Implications for Prognosis and Immunotherapy. Frontiers in Immunology. 13. 820673–820673. 16 indexed citations
10.
Shin, Seula, Hao Zhou, Chenxi He, et al.. (2021). Qki activates Srebp2-mediated cholesterol biosynthesis for maintenance of eye lens transparency. Nature Communications. 12(1). 3005–3005. 30 indexed citations
11.
Zhao, Rongrong, Boyan Li, Shouji Zhang, et al.. (2021). The N6-Methyladenosine-Modified Pseudogene HSPA7 Correlates With the Tumor Microenvironment and Predicts the Response to Immune Checkpoint Therapy in Glioblastoma. Frontiers in Immunology. 12. 653711–653711. 40 indexed citations
12.
Qian, Mingyu, Zihang Chen, Xiaofan Guo, et al.. (2021). Exosomes derived from hypoxic glioma deliver miR-1246 and miR-10b-5p to normoxic glioma cells to promote migration and invasion. Laboratory Investigation. 101(5). 612–624. 39 indexed citations
13.
Chen, Zihang, Huizhi Wang, Zongpu Zhang, et al.. (2021). Cell surface GRP78 regulates BACE2 via lysosome-dependent manner to maintain mesenchymal phenotype of glioma stem cells. Journal of Experimental & Clinical Cancer Research. 40(1). 20–20. 24 indexed citations
14.
Qiu, Wei, Xiaofan Guo, Boyan Li, et al.. (2021). Exosomal miR-1246 from glioma patient body fluids drives the differentiation and activation of myeloid-derived suppressor cells. Molecular Therapy. 29(12). 3449–3464. 90 indexed citations
15.
Zhang, Zongpu, Jianye Xu, Zihang Chen, et al.. (2020). Transfer of MicroRNA via Macrophage-Derived Extracellular Vesicles Promotes Proneural-to-Mesenchymal Transition in Glioma Stem Cells. Cancer Immunology Research. 8(7). 966–981. 74 indexed citations
16.
Xu, Jianye, Zongpu Zhang, Mingyu Qian, et al.. (2020). Cullin-7 (CUL7) is overexpressed in glioma cells and promotes tumorigenesis via NF-κB activation. Journal of Experimental & Clinical Cancer Research. 39(1). 59–59. 45 indexed citations
17.
Qian, Mingyu, Shaobo Wang, Xiaofan Guo, et al.. (2019). Hypoxic glioma-derived exosomes deliver microRNA-1246 to induce M2 macrophage polarization by targeting TERF2IP via the STAT3 and NF-κB pathways. Oncogene. 39(2). 428–442. 265 indexed citations
18.
Xue, Hao, Ye Xiong, Xiao Gao, et al.. (2019). <p>GALE Promotes the Proliferation and Migration of Glioblastoma Cells and Is Regulated by miR-let-7i-5p</p>. Cancer Management and Research. Volume 11. 10539–10554. 16 indexed citations
19.
Guo, Xiaofan, Wei Qiu, Qinglin Liu, et al.. (2018). Immunosuppressive effects of hypoxia-induced glioma exosomes through myeloid-derived suppressor cells via the miR-10a/Rora and miR-21/Pten Pathways. Oncogene. 37(31). 4239–4259. 238 indexed citations
20.

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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