The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Self-assembly of an organic–inorganic hybrid nanoflower as an efficient biomimetic catalyst for self-activated tandem reactions
Abstract
An organic–inorganic hybrid nanoflower was prepared as an efficient biomimetic catalyst with excellent catalytic activity, durability and stability.
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Cites
Intrinsic peroxidase-like activity of ferromagnetic nanoparticles
Gao, L., Zhuang, J., Nie, L., Zhang, J., Zhang, Y., Gu, N., Wang, T., Feng, J., Yang, D., Perrett, S., et al. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.260 · Cited by 7,483
Photosynthetic energy conversion: natural and artificial
Barber, J. (2009) · Chem. Soc. Rev. · doi:10.1039/b802262n · Cited by 1,843
Cited by
Oxidase-like MOF-818 Nanozyme with High Specificity for Catalysis of Catechol Oxidation
Li, M., Chen, J., Wu, W., Fang, Y., & Dong, S. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c07273 · Cited by 536
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
Metadata
- Authors
- Huang, Y., Ran, X., Lin, Y., Ren, J., & Qu, X.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 51
- Issue
- 21
- Pages
- 4386-4389
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W2141677658
- Cited by
- 162
- References
- 2
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Huang, Y., Ran, X., Lin, Y., Ren, J., & Qu, X. (2015). Self-assembly of an organic–inorganic hybrid nanoflower as an efficient biomimetic catalyst for self-activated tandem reactions. Chemical Communications. https://doi.org/10.1039/c5cc00040h
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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.