The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Monodisperse water-soluble magnetite nanoparticles prepared by polyol process for high-performance magnetic resonance imaging
Abstract
A new class of monodisperse water-soluble magnetite nanoparticles was prepared by a simple and inexpensive method based on a polyol process, and their potential as MRI contrast agents was investigated.
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Cites
FIEVET, F., LAGIER, J., BLIN, B., BEAUDOIN, B., & FIGLARZ, M. (1989) · Solid State Ionics · doi:10.1016/0167-2738(89)90222-1 · Cited by 840
Cited by
Pure and multi metal oxide nanoparticles: synthesis, antibacterial and cytotoxic properties
Stankic, S., Suman, S., Haque, F., & Vidic, J. (2016) · Journal of Nanobiotechnology · doi:10.1186/s12951-016-0225-6 · Cited by 678
Characterization of magnetic nanoparticle by dynamic light scattering
Lim, J., Yeap, S. P., Che, H. X., & Low, S. C. (2013) · Nanoscale Research Letters · doi:10.1186/1556-276x-8-381 · Cited by 676
Nigam, S., Barick, K. C., & Bahadur, D. (2011) · Journal of Magnetism and Magnetic Materials · doi:10.1016/j.jmmm.2010.09.009 · Cited by 417
Iron Oxide Nanoparticle Based Contrast Agents for Magnetic Resonance Imaging
Shen, Z., Wu, A., & Chen, X. (2017) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.6b00839 · Cited by 328
Huang, J., Li, Y., Orza, A., Lu, Q., Guo, P., Wang, L., Yang, L., & Mao, H. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504185 · Cited by 292
Metadata
- Authors
- Wan, J., Cai, W., Meng, X., & Liu, E.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2007
- Issue
- 47
- Pages
- 5004
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W1989039651
- Cited by
- 266
- References
- 1
- FWCI
- 12.34
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
