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Cited by 411

The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.

Nano-drug delivery systems in wound treatment and skin regeneration

Open access
Wang, Wei, Lu, Kong-jun, Yu, Chao-heng, Huang, Qiao-ling, Du, Yong-Zhong·2019·Journal of Nanobiotechnology

Abstract

Skin damages are defined as one of most common lesions people suffer from, some of wounds are notoriously difficult to eradicate such as chronic wounds and deep burns. Existing wound therapies have been proved to be inadequate and far from satisfactory. The cutting-edge nanotechnology offers an unprecedented opportunity to revolutionize and invent new therapies or boost the effectiveness of current medical treatments. In particular, the nano-drug delivery systems anchor bioactive molecules to applied area, sustain the drug release and explicitly enhance the therapeutic efficacies of drugs, thus making a fine figure in field relevant to skin regeneration. This review summarized and discussed the current nano-drug delivery systems holding pivotal potential for wound healing and skin regeneration, with a special emphasis on liposomes, polymeric nanoparticles, inorganic nanoparticles, lipid nanoparticles, nanofibrous structures and nanohydrogel.

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Crossref · 10.1186/s12951-019-0514-y

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Metadata

Authors
Wang, W., Lu, K.-J., Yu, C.-H., Huang, Q.-L., & Du, Y.-Z.
Venue
Journal of Nanobiotechnology
Published
2019-07-10
Volume
17
Issue
1
Pages
82-82
ISSN
1477-3155 (ISSN-L)
OpenAlex
W2956294126
Cited by
411
References
112
FWCI
23.10
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nano-drug delivery systems in wound treatment and skin regeneration. https://app.cochat.ai/papers/10.1186/s12951-019-0514-y
The paper
Wang, W., Lu, K.-J., Yu, C.-H., Huang, Q.-L., & Du, Y.-Z. (2019). Nano-drug delivery systems in wound treatment and skin regeneration. Journal of Nanobiotechnology. https://doi.org/10.1186/s12951-019-0514-y

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.