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Cited by 255

The DOI matches its Crossref record; 168 of the 168 references it cites were found in a registry or an index.

Engineering Nanocomposite Materials for Cancer Therapy

Minelli, Caterina, Lowe, Stuart B., Stevens, Molly M.·2010·Small

Abstract

Cancer accounted for 13% of all deaths worldwide in 2005. Although early detection is critical for the successful treatment of many cancers, there are sensitivity limitations associated with current detection methodologies. Furthermore, many traditional anticancer drug treatments exhibit limited efficacy and cause high morbidity. The unique physical properties of nanoscale materials can be utilized to produce novel and effective sensors for cancer diagnosis, agents for tumor imaging, and therapeutics for cancer treatment. Functionalizing inorganic nanoparticles with biocompatible polymers and natural or rationally designed biomolecules offers a route towards engineering responsive and multifunctional composite systems. Although only a few such innovations have reached human clinical trial to date, nanocomposite materials based on functionalized metal and semiconductor nanoparticles promise to transform the way cancer is diagnosed and treated. This review summarizes the current state‐of‐the‐art in the development of inorganic nanocomposites for cancer‐related applications.

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Registry

Crossref · 10.1002/smll.201000523

Cites

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Metadata

Authors
Minelli, C., Lowe, S. B., & Stevens, M. M.
Venue
Small
Publisher
Wiley
Published
2010-09-27
Volume
6
Issue
21
Pages
2336-2357
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W2100090013
Cited by
255
References
168
FWCI
16.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Engineering Nanocomposite Materials for Cancer Therapy. https://app.cochat.ai/papers/10.1002/smll.201000523
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Minelli, C., Lowe, S. B., & Stevens, M. M. (2010). Engineering Nanocomposite Materials for Cancer Therapy. Small. https://doi.org/10.1002/smll.201000523

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.