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Cited by 903

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Current advances in research and clinical applications of PLGA-based nanotechnology

Open access
Lü, Jian-Ming, Wang, Xinwen, Marin-Muller, Christian, Wang, Hao, Lin, Peter H, Yao, Qizhi, Chen, Changyi·2009·Expert Review of Molecular Diagnostics

Abstract

Co-polymer poly(lactic-co-glycolic acid) (PLGA) nanotechnology has been developed for many years and has been approved by the US FDA for the use of drug delivery, diagnostics and other applications of clinical and basic science research, including cardiovascular disease, cancer, vaccine and tissue engineering. This article presents the more recent successes of applying PLGA-based nanotechnologies and tools in these medicine-related applications. It focuses on the possible mechanisms, diagnosis and treatment effects of PLGA preparations and devices. This updated information will benefit to both new and established research scientists and clinical physicians who are interested in the development and application of PLGA nanotechnology as new therapeutic and diagnostic strategies for many diseases.

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Crossref · 10.1586/erm.09.15

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Metadata

Authors
Lü, J.-M., Wang, X., Marin-Muller, C., Wang, H., Lin, P. H., Yao, Q., & Chen, C.
Venue
Expert Review of Molecular Diagnostics
Published
2009-05
Volume
9
Issue
4
Pages
325-341
ISSN
  • 1473-7159 (ISSN-L)
  • 1744-8352
OpenAlex
W2116183504
Cited by
903
References
8
FWCI
12.72
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Current advances in research and clinical applications of PLGA-based nanotechnology. https://app.cochat.ai/papers/10.1586/erm.09.15
The paper
Lü, J.-M., Wang, X., Marin-Muller, C., Wang, H., Lin, P. H., Yao, Q., & Chen, C. (2009). Current advances in research and clinical applications of PLGA-based nanotechnology. Expert Review of Molecular Diagnostics. https://doi.org/10.1586/erm.09.15

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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.