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Cited by 435

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Passive targeting of nanoparticles to cancer: A comprehensive review of the literature

Open access
BAZAK, REMON, HOURI, MOHAMAD, ACHY, SAMAR EL, HUSSEIN, WAEL, REFAAT, TAMER·2014·Molecular and Clinical Oncology

Abstract

Cancer remains the one of the most common causes of mortality in humans; thus, cancer treatment is currently a major focus of investigation. Researchers worldwide have been searching for the optimal treatment (the 'magic bullet') that will selectively target cancer, without afflicting significant morbidity. Recent advances in cancer nanotechnology have raised exciting opportunities for specific drug delivery by an emerging class of nanotherapeutics that may be targeted to neoplastic cells, thereby offering a major advantage over conventional chemotherapeutic agents. There are two ways by which targeting of nanoparticles may be achieved, namely passive and active targeting. The aim of this study was to provide a comprehensive review of the literature focusing on passive targeting.

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Crossref · 10.3892/mco.2014.356

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Metadata

Authors
BAZAK, R., HOURI, M., ACHY, S. E., HUSSEIN, W., & REFAAT, T.
Venue
Molecular and Clinical Oncology
Published
2014-07-23
Volume
2
Issue
6
Pages
904-908
ISSN
  • 2049-9450 (ISSN-L)
  • 2049-9469
OpenAlex
W2105553762
Cited by
435
References
48
FWCI
2.92
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Passive targeting of nanoparticles to cancer: A comprehensive review of the literature. https://app.cochat.ai/papers/10.3892/mco.2014.356
The paper
BAZAK, R., HOURI, M., ACHY, S. E., HUSSEIN, W., & REFAAT, T. (2014). Passive targeting of nanoparticles to cancer: A comprehensive review of the literature. Molecular and Clinical Oncology. https://doi.org/10.3892/mco.2014.356

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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.