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Cited by 394

The DOI matches its Crossref record; 220 of the 220 references it cites were found in a registry or an index.

Nanocarrier-based systems for targeted and site specific therapeutic delivery

Open access
Majumder, Joydeb, Taratula, Oleh, Minko, Tamara·2019·Advanced Drug Delivery Reviews

Abstract

Systemic drug delivery methods such as oral or parenteral administration of free drugs possess relatively low treatment efficiency and marked adverse side effects. The use of nanoparticles for drug delivery in most cases substantially enhances drug efficacy, improves pharmacokinetics and drug release and limits their side effects. However, further enhancement in drug efficacy and significant limitation of adverse side effects can be achieved by specific targeting of nanocarrier-based delivery systems especially in combination with local administration. The present review describes major advantages and limitations of organic and inorganic nanocarriers or living cell-based drug and nucleic acid delivery systems. Among these, different nanoparticles, supramolecular gels, therapeutic cells as living drug carriers etc. have emerged as a new frontier in modern medicine.

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Crossref · 10.1016/j.addr.2019.07.010

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Metadata

Authors
Majumder, J., Taratula, O., & Minko, T.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2019-04
Volume
144
Pages
57-77
ISSN
0169-409X (ISSN-L)
OpenAlex
W2966612446
Cited by
394
References
220
FWCI
1.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Nanocarrier-based systems for targeted and site specific therapeutic delivery. https://app.cochat.ai/papers/10.1016/j.addr.2019.07.010
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Majumder, J., Taratula, O., & Minko, T. (2019). Nanocarrier-based systems for targeted and site specific therapeutic delivery. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2019.07.010

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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.