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Cited by 478

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Physical basis and biological mechanisms of gold nanoparticle radiosensitization

Butterworth, Karl T., McMahon, Stephen J., Currell, Fred J., Prise, Kevin M.·2012·Nanoscale

Abstract

The unique properties of nanomaterials, in particular gold nanoparticles (GNPs) have applications for a wide range of biomedical applications. GNPs have been proposed as novel radiosensitizing agents due to their strong photoelectric absorption coefficient. Experimental evidence supporting the application of GNPs as radiosensitizing agents has been provided from extensive in vitro investigation and a relatively limited number of in vivo studies. Whilst these studies provide experimental evidence for the use of GNPs in combination with ionising radiation, there is an apparent disparity between the observed experimental findings and the level of radiosensitization predicted by mass energy absorption and GNP concentration. This review summarises experimental findings and attempts to highlight potential underlying biological mechanisms of response in GNP radiosensitization.

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Crossref · 10.1039/c2nr31227a

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Metadata

Authors
Butterworth, K. T., McMahon, S. J., Currell, F. J., & Prise, K. M.
Venue
Nanoscale
Published
2012
Volume
4
Issue
16
Pages
4830
ISSN
  • 2040-3364 (ISSN-L)
  • 2040-3372
OpenAlex
W2132317474
Cited by
478
References
45
FWCI
15.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Physical basis and biological mechanisms of gold nanoparticle radiosensitization. https://app.cochat.ai/papers/10.1039/c2nr31227a
The paper
Butterworth, K. T., McMahon, S. J., Currell, F. J., & Prise, K. M. (2012). Physical basis and biological mechanisms of gold nanoparticle radiosensitization. Nanoscale. https://doi.org/10.1039/c2nr31227a

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.