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Cited by 267

The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.

Nanoparticle-Enabled Transdermal Drug Delivery Systems for Enhanced Dose Control and Tissue Targeting

Open access
Palmer, Brian, DeLouise, Lisa·2016·Molecules

Abstract

Transdermal drug delivery systems have been around for decades, and current technologies (e.g., patches, ointments, and creams) enhance the skin permeation of low molecular weight, lipophilic drugs that are efficacious at low doses. The objective of current transdermal drug delivery research is to discover ways to enhance skin penetration of larger, hydrophilic drugs and macromolecules for disease treatment and vaccination. Nanocarriers made of lipids, metals, or polymers have been successfully used to increase penetration of drugs or vaccines, control drug release, and target drugs to specific areas of skin in vivo. While more research is needed to identify the safety of nanocarriers, this technology has the potential to expand the use of transdermal routes of administration to a wide array of therapeutics. Here, we review the current state of nanoparticle skin delivery systems with special emphasis on targeting skin diseases.

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Crossref · 10.3390/molecules21121719

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Metadata

Authors
Palmer, B., & DeLouise, L.
Venue
Molecules
Publisher
MDPI AG
Published
2016-12-15
Volume
21
Issue
12
Pages
1719
ISSN
1420-3049 (ISSN-L)
OpenAlex
W2564076115
Cited by
267
References
119
FWCI
8.07
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanoparticle-Enabled Transdermal Drug Delivery Systems for Enhanced Dose Control and Tissue Targeting. https://app.cochat.ai/papers/10.3390/molecules21121719
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Palmer, B., & DeLouise, L. (2016). Nanoparticle-Enabled Transdermal Drug Delivery Systems for Enhanced Dose Control and Tissue Targeting. Molecules. https://doi.org/10.3390/molecules21121719

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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.