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Cited by 380

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Recent advances in dendrimer-based nanovectors for tumor-targeted drug and gene delivery

Open access
Kesharwani, Prashant, Iyer, Arun K.·2015·Drug Discovery Today

Abstract

Advances in the application of nanotechnology in medicine have given rise to multifunctional smart nanocarriers that can be engineered with tunable physicochemical characteristics to deliver one or more therapeutic agent(s) safely and selectively to cancer cells, including intracellular organelle-specific targeting. Dendrimers having properties resembling biomolecules, with well-defined 3D nanopolymeric architectures, are emerging as a highly attractive class of drug and gene delivery vector. The presence of numerous peripheral functional groups on hyperbranched dendrimers affords efficient conjugation of targeting ligands and biomarkers that can recognize and bind to receptors overexpressed on cancer cells for tumor-cell-specific delivery. The present review compiles the recent advances in dendrimer-mediated drug and gene delivery to tumors by passive and active targeting principles with illustrative examples.

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Metadata

Authors
Kesharwani, P., & Iyer, A. K.
Venue
Drug Discovery Today
Publisher
Elsevier BV
Published
2015-05
Volume
20
Issue
5
Pages
536-547
ISSN
1359-6446 (ISSN-L)
OpenAlex
W2050881037
Cited by
380
References
9
FWCI
19.10
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Recent advances in dendrimer-based nanovectors for tumor-targeted drug and gene delivery. https://app.cochat.ai/papers/10.1016/j.drudis.2014.12.012
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Kesharwani, P., & Iyer, A. K. (2015). Recent advances in dendrimer-based nanovectors for tumor-targeted drug and gene delivery. Drug Discovery Today. https://doi.org/10.1016/j.drudis.2014.12.012

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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.