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Cited by 232

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

On‐Demand Drug Release System for In Vivo Cancer Treatment through Self‐Assembled Magnetic Nanoparticles

Open access
Lee, Jae‐Hyun, Chen, Kuan‐Ju, Noh, Seung‐Hyun, Garcia, Mitch André, Wang, Hao, Lin, Wei‐Yu, Jeong, Heeyeong, Kong, Brian Junoh, Stout, David B., Cheon, Jinwoo, Tseng, Hsian‐Rong·2013·Angewandte Chemie International Edition

Abstract

On-demand drug release: Magnetothermally responsive drug-encapsulated supramolecular nanoparticles for on-demand drug release in vivo have been developed. The remote application of an alternative magnetic field heats the magnetic particles that effectively trigger the release of the drug. An acute drug concentration can be delivered to the tumor in vivo, resulting in an improved therapeutic outcome.

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Registry

Crossref · 10.1002/anie.201207721

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Metadata

Authors
Lee, J., Chen, K., Noh, S., Garcia, M. A., Wang, H., Lin, W., Jeong, H., Kong, B. J., Stout, D. B., Cheon, J., & Tseng, H.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2013-03-20
Volume
52
Issue
16
Pages
4384-4388
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2153123089
Cited by
232
References
3
FWCI
11.74
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: On‐Demand Drug Release System for In Vivo Cancer Treatment through Self‐Assembled Magnetic Nanoparticles. https://app.cochat.ai/papers/10.1002/anie.201207721
The paper
Lee, J., Chen, K., Noh, S., Garcia, M. A., Wang, H., Lin, W., Jeong, H., Kong, B. J., Stout, D. B., Cheon, J., & Tseng, H. (2013). On‐Demand Drug Release System for In Vivo Cancer Treatment through Self‐Assembled Magnetic Nanoparticles. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201207721

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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.