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Cited by 255

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Targeted Delivery of Multifunctional Magnetic Nanoparticles

McCarthy, Jason R, Kelly, Kimberly A, Sun, Eric Y, Weissleder, Ralph·2007·Nanomedicine

Abstract

Magnetic nanoparticles and their magnetofluorescent analogues have become important tools for in vivo imaging using magnetic resonance imaging and fluorescent optical methods. A number of monodisperse magnetic nanoparticle preparations have been developed over the last decade for angiogenesis imaging, cancer staging, tracking of immune cells (monocyte/macrophage, T cells) and for molecular and cellular targeting. Phage display and data mining have enabled the procurement of novel tissue- or receptor-specific peptides, while high-throughput screening of diversity-oriented synthesis libraries has identified small molecules that permit or prevent uptake by specific cell types. Next-generation magnetic nanoparticles are expected to be truly multifunctional, incorporating therapeutic functionalities and further enhancing an already diverse repertoire of capabilities.

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Registry

Crossref · 10.2217/17435889.2.2.153

Cites

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Metadata

Authors
McCarthy, J. R., Kelly, K. A., Sun, E. Y., & Weissleder, R.
Venue
Nanomedicine
Published
2007-03-23
Volume
2
Issue
2
Pages
153-167
ISSN
  • 1743-5889 (ISSN-L)
  • 1748-6963
OpenAlex
W2104814850
Cited by
255
References
89
FWCI
20.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Targeted Delivery of Multifunctional Magnetic Nanoparticles. https://app.cochat.ai/papers/10.2217/17435889.2.2.153
The paper
McCarthy, J. R., Kelly, K. A., Sun, E. Y., & Weissleder, R. (2007). Targeted Delivery of Multifunctional Magnetic Nanoparticles. Nanomedicine. https://doi.org/10.2217/17435889.2.2.153

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.