The DOI matches its Crossref record; 209 of the 209 references it cites were found in a registry or an index.
Engineering of inorganic nanoparticles as magnetic resonance imaging contrast agents
Open accessAbstract
This review focuses on the design principles of inorganic nanoparticles to engineer high-performance contrast agents for magnetic resonance imaging.
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
Items 201–209 of 209
Bioresponsive probes for molecular imaging: concepts and in vivo applications
van Duijnhoven, S. M. J., Robillard, M. S., Langereis, S., & Grüll, H. (2015) · Contrast Media & Molecular Imaging · doi:10.1002/cmmi.1636 · Cited by 34
Polyelectrolyte coating of iron oxide nanoparticles for MRI-based cell tracking
Schwarz, S., Wong, J. E., Bornemann, J., Hodenius, M., Himmelreich, U., Richtering, W. H., Hoehn, M., Zenke, M., & Hieronymus, T. (2011) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2011.08.010 · Cited by 34
Zhang, F., Sun, T., Zhang, Y., Li, Q., Chai, C., Li, L., Shen, W., Yang, J., He, X., Zhang, Y., et al. (2014) · Journal of Materials Chemistry B · doi:10.1039/c4tb00920g · Cited by 33
Liu, Z., Song, X., & Tang, Q. (2013) · Nanoscale · doi:10.1039/c3nr00721a · Cited by 33
Size‐Controlled and Biocompatible Gd2O3 Nanoparticles for Dual Photoacoustic and MR Imaging
Kimura, Y., Kamisugi, R., Narazaki, M., Matsuda, T., Tabata, Y., Toshimitsu, A., & Kondo, T. (2012) · Advanced Healthcare Materials · doi:10.1002/adhm.201200103 · Cited by 28
Infrared-active quadruple contrast FePt nanoparticles for multiple scale molecular imaging
Chou, S., Liu, C., Liu, T., Shen, Y.-F., Kuo, L.-C., Wu, C.-H., Hsieh, T., Wu, P.-C., Tsai, M.-R., Yang, C.-C., et al. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.01.053 · Cited by 28
Bayesian structural equation model
Lee, S., & Song, X. (2014) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.1311 · Cited by 25
Zhang, Q., Wang, P., Ling, Y., Li, X., Xia, L., Yang, Y., Liu, X., Zhang, F., & Zhou, Y. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201605313 · Cited by 25
Nejadnik, H., Lenkov, O. D., Gassert, F. T., Fretwell, D. L., Lam, I., & Daldrup-Link, H. E. (2016) · Scientific Reports · doi:10.1038/srep25897 · Cited by 22
Cited by
Rare-Earth Doping in Nanostructured Inorganic Materials
Zheng, B., Fan, J., Chen, B., Qin, X., Wang, J., Wang, F., Deng, R., & Liu, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00644 · Cited by 1,204
Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201901778 · Cited by 601
Self-citationInsights into 2D MXenes for Versatile Biomedical Applications: Current Advances and Challenges Ahead
Lin, H., Chen, Y., & Shi, J. (2018) · Advanced Science · doi:10.1002/advs.201800518 · Cited by 585
Self-citationMiao, Q., & Pu, K. (2018) · Advanced Materials · doi:10.1002/adma.201801778 · Cited by 537
Multimodal Biophotonics of Semiconducting Polymer Nanoparticles
Jiang, Y., & Pu, K. (2018) · Accounts of Chemical Research · doi:10.1021/acs.accounts.8b00242 · Cited by 478
Metadata
- Authors
- Ni, D., Bu, W., Ehlerding, E. B., Cai, W., & Shi, J.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2017
- Volume
- 46
- Issue
- 23
- Pages
- 7438-7468
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2765750234
- Cited by
- 484
- References
- 209
- FWCI
- 1.72
- 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.