Shibing Wang

2.0k total citations
78 papers, 1.5k citations indexed

About

Shibing Wang is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Shibing Wang has authored 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 33 papers in Molecular Biology and 32 papers in Oncology. Recurrent topics in Shibing Wang's work include Virus-based gene therapy research (39 papers), CAR-T cell therapy research (23 papers) and Cancer Research and Treatments (16 papers). Shibing Wang is often cited by papers focused on Virus-based gene therapy research (39 papers), CAR-T cell therapy research (23 papers) and Cancer Research and Treatments (16 papers). Shibing Wang collaborates with scholars based in China, Taiwan and Belgium. Shibing Wang's co-authors include Xiaozhou Mou, Wen Lei, Xiangmin Tong, Chen Yang, Ketao Jin, Xiaoyi Chen, Xianglei He, Guoqing Ru, Wen‐Chin Weng and Wang‐Tso Lee and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

Shibing Wang

75 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
Shibing Wang China 24 721 540 456 224 224 78 1.5k
Jiwu Wei China 25 941 1.3× 527 1.0× 381 0.8× 475 2.1× 476 2.1× 59 1.9k
Dennis Kobelt Germany 20 774 1.1× 427 0.8× 191 0.4× 185 0.8× 247 1.1× 58 1.4k
Jen‐Chieh Tseng United States 18 1.0k 1.4× 425 0.8× 273 0.6× 184 0.8× 108 0.5× 35 1.6k
Marcel H.J. Ruiters Netherlands 26 1.5k 2.1× 383 0.7× 292 0.6× 316 1.4× 236 1.1× 62 2.3k
Salvador F. Aliño Spain 25 1.1k 1.5× 364 0.7× 496 1.1× 192 0.9× 212 0.9× 112 1.9k
Funan Liu China 20 613 0.9× 302 0.6× 187 0.4× 140 0.6× 158 0.7× 54 1.3k
Yingnan Zhang China 29 1.8k 2.5× 318 0.6× 187 0.4× 295 1.3× 220 1.0× 90 2.9k
Lei Wei China 21 785 1.1× 274 0.5× 203 0.4× 465 2.1× 313 1.4× 67 2.0k
Stephan Fricke Germany 18 705 1.0× 739 1.4× 142 0.3× 456 2.0× 290 1.3× 63 1.6k
Joshua C. Doloff United States 19 824 1.1× 283 0.5× 255 0.6× 445 2.0× 88 0.4× 40 1.7k

Countries citing papers authored by Shibing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shibing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shibing Wang. A scholar is included among the top collaborators of Shibing 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 Shibing Wang. Shibing 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.
Ge, Tong, Yuxuan Chen, Yuxuan Liu, et al.. (2025). ApoE-Corona oncolytic adenovirus nanoparticles enable blood–brain barrier penetration for glioblastoma immunotherapy. Journal of Controlled Release. 387. 114255–114255.
2.
Li, Ping, Yuanhao Zhou, Xiaojuan Hu, et al.. (2025). Honeysuckle-derived exosome-like nanovesicles ameliorate metabolic-associated fatty liver disease by modulating gut microbiota and its metabolites. Nano Research. 18(12). 94907986–94907986.
3.
Yang, Xue, Shibing Wang, Vedrana Montana, Xiangmin Tong, & Vladimir Parpura. (2025). Status and Prospects of Glioblastoma Multiforme Treatments. Journal of Neurochemistry. 169(7). e70158–e70158. 1 indexed citations
4.
Lu, Jian R., Zheng Zhao, Lei Pan, et al.. (2025). Hyaluronidase: structure, mechanism of action, diseases and therapeutic targets. Molecular Biomedicine. 6(1). 50–50. 6 indexed citations
5.
Zheng, Wenjie, Jingxing Si, Xue Yang, et al.. (2024). Tumor-targeted delivery of copper-manganese biomineralized oncolytic adenovirus for colorectal cancer immunotherapy. Acta Biomaterialia. 179. 243–255. 10 indexed citations
6.
Wang, Shibing, Xue Yang, Ketao Jin, et al.. (2024). An Engineered Self-biomineralized Oncolytic Adenovirus Induces Effective Antitumor Immunity and Synergizes With Immune Checkpoint Blockade. Cancer Immunology Research. 12(11). 1640–1654. 2 indexed citations
7.
Li, Zengpeng, et al.. (2024). Oncolytic vaccinia virus armed with anti-CD47 nanobody elicit potent antitumor effects on multiple tumor models via enhancing innate and adoptive immunity. Journal for ImmunoTherapy of Cancer. 12(12). e009473–e009473. 8 indexed citations
8.
Lei, Wen, Yuanyuan Hao, Jie Chen, et al.. (2022). CD19-targeted BiTE expression by an oncolytic vaccinia virus significantly augments therapeutic efficacy against B-cell lymphoma. Blood Cancer Journal. 12(2). 16 indexed citations
9.
Yang, Chen, Hui Dong, Xianglei He, et al.. (2022). The correlation of fibrinogen-like protein-1 expression with the progression and prognosis of hepatocellular carcinoma. Molecular Biology Reports. 49(8). 7911–7919. 14 indexed citations
10.
Dong, Jialin, Ruijun Xu, Hui Zeng, et al.. (2021). Remodeling of the tumor microenvironment using an engineered oncolytic vaccinia virus improves PD-L1 inhibition outcomes. Bioscience Reports. 41(6). 13 indexed citations
11.
Fan, Weimin, Chen Yang, Wen Lei, et al.. (2021). Beclin1‑armed oncolytic Vaccinia virus enhances the therapeutic efficacy of R‑CHOP against lymphoma in vitro and in vivo. Oncology Reports. 45(3). 987–996. 10 indexed citations
12.
Cheng, Gang, Hui Dong, Chen Yang, et al.. (2021). A review on the advances and challenges of immunotherapy for head and neck cancer. Cancer Cell International. 21(1). 406–406. 47 indexed citations
13.
Chen, Yang, Lei Wang, Wanmao Ni, et al.. (2021). Current Progress in Investigating Mature T- and NK-Cell Lymphoma Gene Aberrations by Next-Generation Sequencing (NGS). Cancer Management and Research. Volume 13. 5275–5286. 2 indexed citations
14.
Wang, Peng, Yi Wu, Chen Yang, et al.. (2020). <p>Embelin Promotes Oncolytic Vaccinia Virus-Mediated Antitumor Immunity Through Disruption of IL-6/STAT3 Signaling in Lymphoma</p>. OncoTargets and Therapy. Volume 13. 1421–1429. 5 indexed citations
15.
16.
Zhang, You-Ni, Fang Huang, Shibing Wang, et al.. (2020). Oncolytic Adenovirus Expressing ST13 Increases Antitumor Effect of Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand Against Pancreatic Ductal Adenocarcinoma. Human Gene Therapy. 31(15-16). 891–903. 10 indexed citations
17.
Fang, Changyun, Hang Zhang, Yanling Gu, et al.. (2019). [Research advances in endogenous neural stem cells promoting neural repair after ischemic stroke].. PubMed. 71(3). 454–462. 1 indexed citations
18.
Guo, Yang, Zhenzhen Zhang, Xiaogang Xu, et al.. (2019). Menstrual Blood-Derived Stem Cells as Delivery Vehicles for Oncolytic Adenovirus Virotherapy for Colorectal Cancer. Stem Cells and Development. 28(13). 882–896. 36 indexed citations
19.
Ge, Yun, Wen Lei, Ying‐Yu Ma, et al.. (2017). Synergistic antitumor effects of CDK inhibitor SNS-032 and an oncolytic adenovirus co-expressing TRAIL and Smac in pancreatic cancer. Molecular Medicine Reports. 15(6). 3521–3528. 15 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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