Shibo Wang

4.3k total citations · 1 hit paper
65 papers, 3.8k citations indexed

About

Shibo Wang is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Shibo Wang has authored 65 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 30 papers in Molecular Biology and 22 papers in Materials Chemistry. Recurrent topics in Shibo Wang's work include Nanoplatforms for cancer theranostics (36 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Nanoparticle-Based Drug Delivery (9 papers). Shibo Wang is often cited by papers focused on Nanoplatforms for cancer theranostics (36 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Nanoparticle-Based Drug Delivery (9 papers). Shibo Wang collaborates with scholars based in China, Maldives and United States. Shibo Wang's co-authors include Xian‐Zheng Zhang, Qi Lei, Kai Han, Fan Gao, Jun Feng, Jingyi Zhu, Tao Liu, Wen‐Xiu Qiu, Jing‐Jie Ye and Si‐Xue Cheng and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Biomaterials.

In The Last Decade

Shibo Wang

60 papers receiving 3.7k citations

Hit Papers

Ferrous-Supply-Regeneration Nanoengineering for Cancer-Ce... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shibo Wang China 32 2.4k 1.5k 1.3k 976 782 65 3.8k
Yuxin Guo China 31 2.4k 1.0× 1.4k 1.0× 1.0k 0.8× 1.0k 1.0× 388 0.5× 81 3.6k
Qianqian Sun China 35 2.5k 1.0× 2.0k 1.4× 730 0.6× 788 0.8× 402 0.5× 87 3.8k
Ji Hyeon Kim South Korea 25 2.0k 0.8× 1.3k 0.8× 842 0.7× 378 0.4× 456 0.6× 97 3.2k
Ming Wu China 40 2.8k 1.1× 1.3k 0.9× 1.6k 1.3× 1.2k 1.2× 722 0.9× 103 4.9k
Chao Fang China 32 2.0k 0.8× 987 0.7× 1.5k 1.1× 1.4k 1.4× 274 0.4× 122 4.0k
Seyoung Koo South Korea 30 2.5k 1.0× 2.1k 1.4× 1.6k 1.2× 541 0.6× 602 0.8× 55 5.2k
Jinsong Ding China 39 2.0k 0.8× 997 0.7× 2.6k 2.0× 755 0.8× 275 0.4× 115 4.9k
Zhen Guo China 33 2.0k 0.8× 1.7k 1.2× 951 0.7× 746 0.8× 255 0.3× 57 3.6k
Yue Jiang China 29 1.6k 0.7× 770 0.5× 718 0.6× 709 0.7× 571 0.7× 84 2.7k
Yu Cai China 32 2.6k 1.1× 1.8k 1.2× 1.1k 0.8× 546 0.6× 760 1.0× 117 4.1k

Countries citing papers authored by Shibo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shibo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shibo Wang. A scholar is included among the top collaborators of Shibo 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 Shibo Wang. Shibo 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
2.
Wang, Wenhui, Jiming Chen, Shibo Wang, et al.. (2025). MFGE8 induces anti-PD-1 therapy resistance by promoting extracellular vesicle sorting of PD-L1. Cell Reports Medicine. 6(2). 101922–101922. 5 indexed citations
4.
Wang, Yijie, Ting Li, Yang Wang, et al.. (2024). Ultra-stable pickering emulsion stabilized by anisotropic pea protein isolate-fucoidan conjugate particles through Maillard reaction. International Journal of Biological Macromolecules. 264(Pt 1). 130589–130589. 24 indexed citations
5.
Wang, Yijie, Ting Li, Xuhui Zhang, et al.. (2024). High internal phase Pickering emulsions stabilized by Zein-hyaluronic acid conjugate particles and their application in active substances protection. Carbohydrate Polymers. 343. 122498–122498. 18 indexed citations
6.
Wang, Yijie, Ting Li, Xuhui Zhang, et al.. (2024). Pea protein isolate-zein complex particles prepared by hydrophobic interactions and their application in stable Pickering emulsions. Colloids and Surfaces A Physicochemical and Engineering Aspects. 686. 133384–133384. 21 indexed citations
7.
Wang, Shibo, Xianghui Kong, Jie Yang, et al.. (2024). Adhesion between EVs and tumor cells facilitated EV-encapsulated doxorubicin delivery via ICAM1. Pharmacological Research. 205. 107244–107244. 5 indexed citations
8.
Yang, Jie, Xiaofang Huang, Shibo Wang, et al.. (2024). Extracellular vesicles derived from M2‐like macrophages alleviate acute lung injury in a miR‐709‐mediated manner. Journal of Extracellular Vesicles. 13(4). e12437–e12437. 26 indexed citations
9.
Zhou, Xiaowen, Jing Huang, Xuhui Zhang, et al.. (2023). Design of Tough, yet Strong, Heat-resistant PLA/PBAT Blends with Reconfigurable Shape Memory Behavior by Engineering Exchangeable Covalent Crosslinks. Chinese Journal of Polymer Science. 41(12). 1868–1878. 17 indexed citations
11.
Yang, Jianjing, Kelu Yan, Ting Zeng, et al.. (2023). Electrooxidation-induced synthesis of 3-thio/selenophosphorylated imidazole: a potent pesticide with good biocompatibility. Green Chemistry. 26(2). 832–838. 9 indexed citations
12.
Chen, Jiming, Jie Yang, Wenhui Wang, et al.. (2022). Tumor extracellular vesicles mediate anti-PD-L1 therapy resistance by decoying anti-PD-L1. Cellular and Molecular Immunology. 19(11). 1290–1301. 47 indexed citations
13.
Wang, Shibo, Zhaoxia Chen, Fan Gao, et al.. (2020). Remodeling extracellular matrix based on functional covalent organic framework to enhance tumor photodynamic therapy. Biomaterials. 234. 119772–119772. 126 indexed citations
14.
Wang, Shibo, Xinhua Liu, Bin Li, et al.. (2019). Bacteria‐Assisted Selective Photothermal Therapy for Precise Tumor Inhibition. Advanced Functional Materials. 29(35). 80 indexed citations
15.
Zhang, Ming‐Kang, Chu‐Xin Li, Shibo Wang, et al.. (2018). Tumor Starvation Induced Spatiotemporal Control over Chemotherapy for Synergistic Therapy. Small. 14(50). e1803602–e1803602. 90 indexed citations
16.
Liu, Tao, Wenlong Liu, Mingkang Zhang, et al.. (2018). Ferrous-Supply-Regeneration Nanoengineering for Cancer-Cell-Specific Ferroptosis in Combination with Imaging-Guided Photodynamic Therapy. ACS Nano. 12(12). 12181–12192. 477 indexed citations breakdown →
17.
Liu, Mingjun, Yuan Su, Kun Li, et al.. (2018). Down-regulation of GRP78 alleviates lipopolysaccharide-induced acute kidney injury. International Urology and Nephrology. 50(11). 2099–2107. 18 indexed citations
18.
Chen, Wei‐Hai, Guo‐Feng Luo, Wen‐Xiu Qiu, et al.. (2016). Mesoporous silica-based versatile theranostic nanoplatform constructed by layer-by-layer assembly for excellent photodynamic/chemo therapy. Biomaterials. 117. 54–65. 173 indexed citations
19.
Han, Kai, Jingyi Zhu, Huizhen Jia, et al.. (2016). Mitochondria-Targeted Chimeric Peptide for Trinitarian Overcoming of Drug Resistance. ACS Applied Materials & Interfaces. 8(38). 25060–25068. 63 indexed citations
20.
Dong, Xiao, Jingjing Hu, Jingyi Zhu, et al.. (2016). A redox-responsive mesoporous silica nanoparticle with a therapeutic peptide shell for tumor targeting synergistic therapy. Nanoscale. 8(37). 16702–16709. 50 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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