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Cited by 317

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Preparation of graphene dispersions and graphene-polymer composites in organic media

Open access
Villar-Rodil, Silvia, Paredes, Juan. I., Martínez-Alonso, Amelia, Tascón, Juan. M. D.·2009·Journal of Materials Chemistry

Abstract

Graphene nanosheets in the form of chemically reduced graphene oxide have been prepared in organic media without the need to chemically functionalise the starting graphene oxide nanosheets. The preparation procedure is simple and similar to that previously used for the production of stable aqueous dispersions of graphene nanosheets. The resulting organic dispersions are homogeneous, exhibit long-term stability and are made up of graphene sheets a few hundred nanometres large. The ability to prepare graphene dispersions in organic media facilitates their combination with polymers, such as polyacrylonitrile and poly(methyl methacrylate), to yield homogeneous composites.

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Crossref · 10.1039/b904935e

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Metadata

Authors
Villar-Rodil, S., Paredes, J. I., Martínez-Alonso, A., & Tascón, J. M. D.
Venue
Journal of Materials Chemistry
Published
2009
Volume
19
Issue
22
Pages
3591
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2096593344
Cited by
317
References
3
FWCI
12.92
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Preparation of graphene dispersions and graphene-polymer composites in organic media. https://app.cochat.ai/papers/10.1039/b904935e
The paper
Villar-Rodil, S., Paredes, J. I., Martínez-Alonso, A., & Tascón, J. M. D. (2009). Preparation of graphene dispersions and graphene-polymer composites in organic media. Journal of Materials Chemistry. https://doi.org/10.1039/b904935e

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.