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Cited by 303

The DOI matches its Crossref record; 294 of the 294 references it cites were found in a registry or an index.

Dealing with the Foreign‐Body Response to Implanted Biomaterials: Strategies and Applications of New Materials

Zhang, Donghui, Chen, Qi, Shi, Chao, Chen, Minzhang, Ma, Kaiqian, Wan, Jianglin, Liu, Runhui·2021·Advanced Functional Materials

Abstract

Foreign‐body response caused by implanted biomaterials seriously impedes the function of implants and is a major obstacle to the development of implantable biomaterials and medical devices. Recent advances in implantable biomaterials and medical devices have provided strategies to resist the foreign‐body response. In this review, the mechanism of the foreign‐body response and conventional strategies to mitigate foreign‐body response is briefly introduced. Then, three types of promising foreign‐body response resisting materials are focused and the advantages, characteristics, and applications of each material are discussed. Finally, prospects are put forward for future development of foreign‐body response resisting materials and current challenges that require in‐depth study.

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Crossref · 10.1002/adfm.202007226

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Metadata

Authors
Zhang, D., Chen, Q., Shi, C., Chen, M., Ma, K., Wan, J., & Liu, R.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2020-10-23
Volume
31
Issue
6
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W3094314302
Cited by
303
References
294
FWCI
9.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dealing with the Foreign‐Body Response to Implanted Biomaterials: Strategies and Applications of New Materials. https://app.cochat.ai/papers/10.1002/adfm.202007226
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Zhang, D., Chen, Q., Shi, C., Chen, M., Ma, K., Wan, J., & Liu, R. (2021). Dealing with the Foreign‐Body Response to Implanted Biomaterials: Strategies and Applications of New Materials. Advanced Functional Materials. https://doi.org/10.1002/adfm.202007226

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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.