The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.
19F Magnetic Resonance Imaging (MRI): From Design of Materials to Clinical Applications
Open accessAbstract
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXT19F Magnetic Resonance Imaging (MRI): From Design of Materials to Clinical ApplicationsIlaria Tirotta†‡, Valentina Dichiarante†‡, Claudia Pigliacelli†‡, Gabriella Cavallo†‡, Giancarlo Terraneo†‡, Francesca Baldelli Bombelli*†‡§, Pierangelo Metrangolo*†‡∥, and Giuseppe Resnati*†‡View Author Information† ‡ †Laboratory of Nanostructured Fluorinated Materials (NFMLab), Department of Chemistry, Materials, and Chemical Engineering "Giulio Natta" and ‡Fondazione Centro Europeo Nanomedicina, Politecnico di Milano, Milan 20131, Italy§ School of Pharmacy, University of East Anglia, Norwich NR4 7TJ, United Kingdom∥ VTT-Technical Research Centre of Finland, Espoo FI-02044, Finland*E-mail: [email protected]*E-mail: [email protected]*E-mail: [email protected]Cite this: Chem. Rev. 2015, 115, 2, 1106–1129Publication Date (Web):October 20, 2014Publication History Received30 May 2014Published online20 October 2014Published inissue 28 January 2015https://pubs.acs.org/doi/10.1021/cr500286dhttps://doi.org/10.1021/cr500286dreview-articleACS PublicationsCopyright © 2014 American Chemical SocietyRequest reuse permissionsArticle Views12461Altmetric-Citations399LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Biological imaging,Emulsions,Fluorine,Magnetic resonance imaging,Probes Get e-Alerts
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Quantum Dots for Live Cells, in Vivo Imaging, and Diagnostics
Michalet, X., Pinaud, F. F., Bentolila, L. A., Tsay, J. M., Doose, S., Li, J. J., Sundaresan, G., Wu, A. M., Gambhir, S. S., & Weiss, S. (2005) · Science · doi:10.1126/science.1104274 · Cited by 7,790
Synthesis of thiol-derivatised gold nanoparticles in a two-phase Liquid–Liquid system
Brust, M., Walker, M., Bethell, D., Schiffrin, D. J., & Whyman, R. (1994) · J. Chem. Soc., Chem. Commun. · doi:10.1039/c39940000801 · Cited by 6,707
Wang, J., Sánchez-Roselló, M., Aceña, J. L., del Pozo, C., Sorochinsky, A. E., Fustero, S., Soloshonok, V. A., & Liu, H. (2014) · Chemical Reviews · doi:10.1021/cr4002879 · Cited by 4,847
A New Class of Polymers: Starburst-Dendritic Macromolecules
Tomalia, D. A., Baker, H., Dewald, J., Hall, M., Kallos, G., Martin, S., Roeck, J., Ryder, J., & Smith, P. (1985) · Polymer Journal · doi:10.1295/polymj.17.117 · Cited by 3,904
Strategies in the design of nanoparticles for therapeutic applications
Petros, R. A., & DeSimone, J. M. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd2591 · Cited by 3,651
Image Formation by Induced Local Interactions: Examples Employing Nuclear Magnetic Resonance
LAUTERBUR, P. C. (1973) · Nature · doi:10.1038/242190a0 · Cited by 3,611
Nanoparticles in Medicine: Therapeutic Applications and Developments
Zhang, L., Gu, F., Chan, J., Wang, A., Langer, R., & Farokhzad, O. (2008) · Clinical Pharmacology & Therapeutics · doi:10.1038/sj.clpt.6100400 · Cited by 2,657
Magnetic nanoparticles in MR imaging and drug delivery
Sun, C., Lee, J. S. H., & Zhang, M. (2008) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2008.03.018 · Cited by 2,594
Hawker, C. J., & Frechet, J. M. J. (1990) · Journal of the American Chemical Society · doi:10.1021/ja00177a027 · Cited by 2,413
Artificially engineered magnetic nanoparticles for ultra-sensitive molecular imaging
Lee, J.-H., Huh, Y.-M., Jun, Y.-W., Seo, J.-W., Jang, J.-T., Song, H.-T., Kim, S., Cho, E.-J., Yoon, H.-G., Suh, J.-S., et al. (2007) · Nature Medicine · doi:10.1038/nm1467 · Cited by 1,897
Cited by
Polymeric Nanoparticles for Drug Delivery
Beach, M. A., Nayanathara, U., Gao, Y., Zhang, C., Xiong, Y., Wang, Y., & Such, G. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00705 · Cited by 1,155
Monofluorination of Organic Compounds: 10 Years of Innovation
Champagne, P. A., Desroches, J., Hamel, J.-D., Vandamme, M., & Paquin, J.-F. (2015) · Chemical Reviews · doi:10.1021/cr500706a · Cited by 963
Compound Copper Chalcogenide Nanocrystals
Coughlan, C., Ibáñez, M., Dobrozhan, O., Singh, A., Cabot, A., & Ryan, K. M. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00376 · Cited by 930
Zhu, Y., Han, J., Wang, J., Shibata, N., Sodeoka, M., Soloshonok, V. A., Coelho, J. A. S., & Toste, F. D. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00778 · Cited by 640
Zhang, C., Yan, K., Fu, C., Peng, H., Hawker, C. J., & Whittaker, A. K. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00632 · Cited by 493
Fluoropolymers in Biomedical Applications: State-of-the-Art and Future Perspectives
Lv, J., & Cheng, Y. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00258e · Cited by 316
Fluorine-containing pharmaceuticals approved by the FDA in 2020: Synthesis and biological activity
Yu, Y., Liu, A., Dhawan, G., Mei, H., Zhang, W., Izawa, K., Soloshonok, V. A., & Han, J. (2021) · Chinese Chemical Letters · doi:10.1016/j.cclet.2021.05.042 · Cited by 182
Zhang, B., Yan, W., Zhu, Y., Yang, W., Le, W., Chen, B., Zhu, R., & Cheng, L. (2018) · Advanced Materials · doi:10.1002/adma.201705694 · Cited by 113
Jiang, C., Zhang, L., Xu, X., Qi, M., Zhang, J., He, S., Tian, Q., & Song, S. (2021) · Advanced Science · doi:10.1002/advs.202102500 · Cited by 77
Metadata
- Authors
- Tirotta, I., Dichiarante, V., Pigliacelli, C., Cavallo, G., Terraneo, G., Bombelli, F. B., Metrangolo, P., & Resnati, G.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-10-20
- Volume
- 115
- Issue
- 2
- Pages
- 1106-1129
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2082774852
- Cited by
- 521
- References
- 149
- FWCI
- 1.41
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
