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Cited by 1,349

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Nanoparticle–liver interactions: Cellular uptake and hepatobiliary elimination

Open access
Zhang, Yi-Nan, Poon, Wilson, Tavares, Anthony J., McGilvray, Ian D., Chan, Warren C.W.·2016·Journal of Controlled Release

Abstract

30-99% of administered nanoparticles will accumulate and sequester in the liver after administration into the body. This results in reduced delivery to the targeted diseased tissue and potentially leads to increased toxicity at the hepatic cellular level. This review article focuses on the inter- and intra-cellular interaction between nanoparticles and hepatic cells, the elimination mechanism of nanoparticles through the hepatobiliary system, and current strategies to manipulate liver sequestration. The ability to solve the "nanoparticle-liver" interaction is critical to the clinical translation of nanotechnology for diagnosing and treating cancer, diabetes, cardiovascular disorders, and other diseases.

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Crossref · 10.1016/j.jconrel.2016.01.020

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Metadata

Authors
Zhang, Y.-N., Poon, W., Tavares, A. J., McGilvray, I. D., & Chan, W. C. W.
Venue
Journal of Controlled Release
Publisher
Elsevier BV
Published
2016-10
Volume
240
Pages
332-348
ISSN
0168-3659 (ISSN-L)
OpenAlex
W2233414233
Cited by
1,349
References
15
FWCI
28.57
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Nanoparticle–liver interactions: Cellular uptake and hepatobiliary elimination. https://app.cochat.ai/papers/10.1016/j.jconrel.2016.01.020
The paper
Zhang, Y.-N., Poon, W., Tavares, A. J., McGilvray, I. D., & Chan, W. C. W. (2016). Nanoparticle–liver interactions: Cellular uptake and hepatobiliary elimination. Journal of Controlled Release. https://doi.org/10.1016/j.jconrel.2016.01.020

Data sources

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.