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Cited by 588

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Nanooncology: The future of cancer diagnosis and therapy

Open access
Thakor, Avnesh S., Gambhir, Sanjiv S.·2013·CA: A Cancer Journal for Clinicians

Abstract

In recent years, there has been an unprecedented expansion in the field of nanomedicine with the development of new nanoparticles for the diagnosis and treatment of cancer. Nanoparticles have unique biological properties given their small size and large surface area‐to‐volume ratio, which allows them to bind, absorb, and carry compounds such as small molecule drugs, DNA, RNA, proteins, and probes with high efficiency. Their tunable size, shape, and surface characteristics also enable them to have high stability, high carrier capacity, the ability to incorporate both hydrophilic and hydrophobic substances and compatibility with different administration routes, thereby making them highly attractive in many aspects of oncology. This review article will discuss how nanoparticles are able to function as carriers for chemotherapeutic drugs to increase their therapeutic index; how they can function as therapeutic agents in photodynamic, gene, and thermal therapy; and how nanoparticles can be used as molecular imaging agents to detect and monitor cancer progression. CA Cancer J Clin 2013;63:395‐418 . © 2013 American Cancer Society, Inc.

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Metadata

Authors
Thakor, A. S., & Gambhir, S. S.
Venue
CA: A Cancer Journal for Clinicians
Publisher
Wiley
Published
2013-10
Volume
63
Issue
6
Pages
395-418
ISSN
  • 0007-9235 (ISSN-L)
  • 1542-4863
OpenAlex
W2080202676
Cited by
588
References
14
FWCI
17.73
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanooncology: The future of cancer diagnosis and therapy. https://app.cochat.ai/papers/10.3322/caac.21199
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Thakor, A. S., & Gambhir, S. S. (2013). Nanooncology: The future of cancer diagnosis and therapy. CA: A Cancer Journal for Clinicians. https://doi.org/10.3322/caac.21199

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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.