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Cited by 268

The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.

Recent advances in stimuli-responsive polymer systems for remotely controlled drug release

Zhang, Aitang, Jung, Kenward, Li, Aihua, Liu, Jingquan, Boyer, Cyrille·2019·Progress in Polymer Science

Abstract

Abstract Promoted by recent advances in developing nanomaterials and drug delivery, stimuli-responsive polymer systems that can remotely trigger drug release in a spatiotemporal manner has attracted significant attention in biotechnology. Implementation of remote-controlled release requires functional polymers to be susceptible to specific physical and/or chemical stimuli. In this minireview, we focus on the recent advances in the construction of stimuli-responsive polymer systems for remotely controlling drug release in response to an externally applied stimulus (light, microwave, magnetic field, electric field and ultrasound). The design of the stimuli-responsive polymer systems and formulations to remotely control the release of drug molecules is also highlighted in this minireview. Furthermore, the potential in biomedical applications and the perspectives of future developments of these stimuli-responsive polymer systems are also briefly discussed.

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Metadata

Authors
Zhang, A., Jung, K., Li, A., Liu, J., & Boyer, C.
Venue
Progress in Polymer Science
Publisher
Elsevier BV
Published
2019-12
Volume
99
Pages
101164
ISSN
0079-6700 (ISSN-L)
OpenAlex
W2978296058
Cited by
268
References
139
FWCI
9.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent advances in stimuli-responsive polymer systems for remotely controlled drug release. https://app.cochat.ai/papers/10.1016/j.progpolymsci.2019.101164
The paper
Zhang, A., Jung, K., Li, A., Liu, J., & Boyer, C. (2019). Recent advances in stimuli-responsive polymer systems for remotely controlled drug release. Progress in Polymer Science. https://doi.org/10.1016/j.progpolymsci.2019.101164

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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.