The DOI matches its Crossref record; 345 of the 345 references it cites were found in a registry or an index.
The versatile biomedical applications of bismuth-based nanoparticles and composites: therapeutic, diagnostic, biosensing, and regenerative properties
Open accessAbstract
Bismuth-containing nanomaterials offer a new opportunity to move beyond current achievements in the fields of drug delivery, diagnosis, cancer therapy, biosensing, and tissue engineering. This review describes emerging applications and perspective of these nanoparticles.
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1 retracted
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Cited by
Research progress on nano-sensitizers for enhancing the effects of radiotherapy
Zhang, Y., Han, X., Liu, Y., Wang, S., Han, X., & Cheng, C. (2022) · Materials Advances · doi:10.1039/d2ma00094f · Cited by 44
Liu, Q., Yang, L., Wang, L., Li, Z., Yu, Y., Zheng, Y., Lian, D., Li, X., Chen, H., Mei, L., et al. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.125064 · Cited by 28
Metadata
- Authors
- Shahbazi, M.-A., Faghfouri, L., Ferreira, M. P. A., Figueiredo, P., Maleki, H., Sefat, F., Hirvonen, J., & Santos, H. A.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2020
- Volume
- 49
- Issue
- 4
- Pages
- 1253-1321
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W3003821136
- Cited by
- 523
- References
- 345
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Shahbazi, M.-A., Faghfouri, L., Ferreira, M. P. A., Figueiredo, P., Maleki, H., Sefat, F., Hirvonen, J., & Santos, H. A. (2020). The versatile biomedical applications of bismuth-based nanoparticles and composites: therapeutic, diagnostic, biosensing, and regenerative properties. Chemical Society Reviews. https://doi.org/10.1039/c9cs00283a
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.