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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Advances and Impact of Antioxidant Hydrogel in Chronic Wound Healing

Xu, Zejun, Han, Shuyan, Gu, Zhipeng, Wu, Jun·2020·Advanced Healthcare Materials

Abstract

The accelerating and thorough treatment of chronic wounds still represents a major unmet medical need owing to the complex symptoms resulting from metabolic disorder of the wound microenvironment. Although numerous strategies and bioactive hydrogels are developed, an effective and widely used method of chronic wound treatment remains a bottleneck. With the aim to accelerate chronic wound healing, many hydrogel dressings with antioxidant functions have emerged and are proven to accelerate wound healing, especially for chronic wound repair. The new strategy in chronic wound treatment brought by antioxidant hydrogels is of great significance to human health. Here, the application of antioxidant hydrogels in the repair of chronic wounds is discussed systematically, aiming to provide an important theoretical reference for the further breakthrough of chronic wound healing.

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Crossref · 10.1002/adhm.201901502

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Metadata

Authors
Xu, Z., Han, S., Gu, Z., & Wu, J.
Venue
Advanced Healthcare Materials
Publisher
Wiley
Published
2020-01-24
Volume
9
Issue
5
Pages
e1901502-e1901502
ISSN
  • 2192-2640 (ISSN-L)
  • 2192-2659
OpenAlex
W3002390066
Cited by
714
References
2
FWCI
41.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances and Impact of Antioxidant Hydrogel in Chronic Wound Healing. https://app.cochat.ai/papers/10.1002/adhm.201901502
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Xu, Z., Han, S., Gu, Z., & Wu, J. (2020). Advances and Impact of Antioxidant Hydrogel in Chronic Wound Healing. Advanced Healthcare Materials. https://doi.org/10.1002/adhm.201901502

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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.