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Cited by 601

The DOI matches its Crossref record; 369 of the 369 references it cites were found in a registry or an index.

Organic Phase Syntheses of Magnetic Nanoparticles and Their Applications

Wu, Liheng, Mendoza-Garcia, Adriana, Li, Qing, Sun, Shouheng·2016·Chemical Reviews

Abstract

In the past two decades, the synthetic development of magnetic nanoparticles (NPs) has been intensively explored for both fundamental scientific research and technological applications. Different from the bulk magnet, magnetic NPs exhibit unique magnetism, which enables the tuning of their magnetism by systematic nanoscale engineering. In this review, we first briefly discuss the fundamental features of magnetic NPs. We then summarize the synthesis of various magnetic NPs, including magnetic metal, metallic alloy, metal oxide, and multifunctional NPs. We focus on the organic phase syntheses of magnetic NPs with precise control over their sizes, shapes, compositions, and structures. Finally we discuss the applications of various magnetic NPs in sensitive diagnostics and therapeutics, high-density magnetic data recording and energy storage, as well as in highly efficient catalysis.

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Crossref · 10.1021/acs.chemrev.5b00687

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Metadata

Authors
Wu, L., Mendoza-Garcia, A., Li, Q., & Sun, S.
Venue
Chemical Reviews
Published
2016-06-29
Volume
116
Issue
18
Pages
10473-10512
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2472830925
Cited by
601
References
369
FWCI
6.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Organic Phase Syntheses of Magnetic Nanoparticles and Their Applications. https://app.cochat.ai/papers/10.1021/acs.chemrev.5b00687
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Wu, L., Mendoza-Garcia, A., Li, Q., & Sun, S. (2016). Organic Phase Syntheses of Magnetic Nanoparticles and Their Applications. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.5b00687

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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.