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Cited by 560

The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.

Self‐Assembly of Hyperbranched Polymers and Its Biomedical Applications

Zhou, Yongfeng, Huang, Wei, Liu, Jinyao, Zhu, Xinyuan, Yan, Deyue·2010·Advanced Materials

Abstract

Hyperbranched polymers (HBPs) are highly branched macromolecules with a three‐dimensional dendritic architecture. Due to their unique topological structure and interesting physical/chemical properties, HBPs have attracted wide attention from both academia and industry. In this paper, the recent developments in HBP self‐assembly and their biomedical applications have been comprehensively reviewed. Many delicate supramolecular structures from zero‐dimension (0D) to three‐dimension (3D), such as micelles, fibers, tubes, vesicles, membranes, large compound vesicles and physical gels, have been prepared through the solution or interfacial self‐assembly of amphiphilic HBPs. In addition, these supramolecular structures have shown promising applications in the biomedical areas including drug delivery, protein purification/detection/delivery, gene transfection, antibacterial/antifouling materials and cytomimetic chemistry. Such developments promote the interdiscipline researches among surpramolecular chemistry, biomedical chemistry, nano­technology and functional materials.

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Crossref · 10.1002/adma.201000369

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Metadata

Authors
Zhou, Y., Huang, W., Liu, J., Zhu, X., & Yan, D.
Venue
Advanced Materials
Publisher
Wiley
Published
2010-09-17
Volume
22
Issue
41
Pages
4567-4590
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2039917458
Cited by
560
References
163
FWCI
34.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Self‐Assembly of Hyperbranched Polymers and Its Biomedical Applications. https://app.cochat.ai/papers/10.1002/adma.201000369
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Zhou, Y., Huang, W., Liu, J., Zhu, X., & Yan, D. (2010). Self‐Assembly of Hyperbranched Polymers and Its Biomedical Applications. Advanced Materials. https://doi.org/10.1002/adma.201000369

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.