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Cited by 179

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Polymeric nanomedicine for cancer MR imaging and drug delivery

Open access
Khemtong, Chalermchai, Kessinger, Chase W., Gao, Jinming·2009·Chemical Communications

Abstract

Multifunctional nanomedicine is emerging as a highly integrated platform that allows for molecular diagnosis, targeted drug delivery, and simultaneous monitoring and treatment of cancer. Advances in polymer and materials science are critical for the successful development of these multi-component nanocomposites in one particulate system with such a small size confinement (<200 nm). Currently, several nanoscopic therapeutic and diagnostic systems have been translated into clinical practice. In this feature article, we will provide an up-to-date review on the development and biomedical applications of nanocomposite materials for cancer diagnosis and therapy. An overview of each functional component, i.e. polymer carriers, MR imaging agents, and therapeutic drugs, will be presented. Integration of different functional components will be illustrated in several highlighted examples to demonstrate the synergy of the multifunctional nanomedicine design.

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Crossref · 10.1039/b821865j

Cites

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Metadata

Authors
Khemtong, C., Kessinger, C. W., & Gao, J.
Venue
Chemical Communications
Published
2009
Issue
24
Pages
3497
ISSN
  • 1359-7345 (ISSN-L)
  • 1364-548X
OpenAlex
W2142062174
Cited by
179
References
17
FWCI
10.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Polymeric nanomedicine for cancer MR imaging and drug delivery. https://app.cochat.ai/papers/10.1039/b821865j
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Khemtong, C., Kessinger, C. W., & Gao, J. (2009). Polymeric nanomedicine for cancer MR imaging and drug delivery. Chemical Communications. https://doi.org/10.1039/b821865j

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.