Kuo Shen

434 total citations · 1 hit paper
12 papers, 318 citations indexed

About

Kuo Shen is a scholar working on Rehabilitation, Biomaterials and Dermatology. According to data from OpenAlex, Kuo Shen has authored 12 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rehabilitation, 4 papers in Biomaterials and 2 papers in Dermatology. Recurrent topics in Kuo Shen's work include Wound Healing and Treatments (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Privacy-Preserving Technologies in Data (2 papers). Kuo Shen is often cited by papers focused on Wound Healing and Treatments (6 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Privacy-Preserving Technologies in Data (2 papers). Kuo Shen collaborates with scholars based in China, United States and Japan. Kuo Shen's co-authors include Yunchuan Wang, Dahai Hu, Ting Li, Yue Zhang, Weixia Cai, Liang Luo, Meng Li, Baolin Guo, Kejia Wang and Ming Zhao and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Small.

In The Last Decade

Kuo Shen

12 papers receiving 313 citations

Hit Papers

Exosome/metformin-loaded self-healing conductive hydrogel... 2023 2026 2024 2025 2023 25 50 75 100
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. Exosome/metformin-loaded self-healing conductive hydrogel rescues microvascular dysfunction and promotes chronic diabetic wound healing by inhibiting mitochondrial fission
    2023 106 citations Yue Zhang, Meng Li et al. Bioactive Materials profile →

Peers

Kuo Shen
Artem A. Trotsyuk United States
Zihan Wu China
Yan‐Yan Hu China
Xu Cui China
Selin Foo Singapore
Dahai Hu China
Zhi Wu China
Shengnan Cui China
Moses Lee South Korea
Т. А. Астрелина Russia
Artem A. Trotsyuk United States
Kuo Shen
Citations per year, relative to Kuo Shen Kuo Shen (= 1×) peers Artem A. Trotsyuk

Countries citing papers authored by Kuo Shen

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo Shen. A scholar is included among the top collaborators of Kuo Shen 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 Kuo Shen. Kuo Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Niu, Jun, Xiaoyan Zhu, Ge Zhang, et al.. (2025). Comparing Different Membership Inference Attacks With a Comprehensive Benchmark. IEEE Transactions on Information Forensics and Security. 20. 6592–6606. 1 indexed citations
2.
Zhang, Lixia, Kuo Shen, Kejia Wang, et al.. (2024). Exosomes derived from mouse vibrissa dermal papilla cells promote hair follicle regeneration during wound healing by activating Wnt/β-catenin signaling pathway. Journal of Nanobiotechnology. 22(1). 17 indexed citations
3.
Wei, Fei‐Long, Jingwei Zhao, Chaoli Wang, et al.. (2024). Stem cell–homing biomimetic hydrogel promotes the repair of osteoporotic bone defects through osteogenic and angiogenic coupling. Science Advances. 10(44). eadq6700–eadq6700. 27 indexed citations
4.
Niu, Jun, Peng Liu, Chunhui Huang, et al.. (2024). Dual defense: Combining preemptive exclusion of members and knowledge distillation to mitigate membership inference attacks. SHILAP Revista de lepidopterología. 3(1). 68–90. 1 indexed citations
5.
Niu, Jun, Peng Liu, Xiaoyan Zhu, et al.. (2024). A survey on membership inference attacks and defenses in machine learning. SHILAP Revista de lepidopterología. 2(5). 404–454. 10 indexed citations
6.
Dong, Yuhang, Jiaqi Liu, Yunchuan Wang, et al.. (2024). Metformin Syncs CeO2 to Recover Intra‐ and Extra‐Cellular ROS Homeostasis in Diabetic Wound Healing. Small. 20(52). e2407802–e2407802. 18 indexed citations
7.
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Zhang, Yue, Meng Li, Yunchuan Wang, et al.. (2023). Exosome/metformin-loaded self-healing conductive hydrogel rescues microvascular dysfunction and promotes chronic diabetic wound healing by inhibiting mitochondrial fission. Bioactive Materials. 26. 323–336. 106 indexed citations breakdown →
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Li, Jie, Yan Li, Yunchuan Wang, et al.. (2021). Overexpression of miR-101 suppresses collagen synthesis by targeting EZH2 in hypertrophic scar fibroblasts. Burns & Trauma. 9. tkab038–tkab038. 17 indexed citations
12.
Li, Jianping, Kuo Shen, Meng Fang, et al.. (2019). [Effect of HIF-1α on Angiogenesis-Related Factors in K562 Cells].. PubMed. 27(5). 1476–1481. 2 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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2026