The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Selective production of cyclohexanol and methanol from guaiacol over Ru catalyst combined with MgO
Abstract
Methoxyphenols can be converted to cyclohexanol and methanol with H 2 over Ru/C combined with MgO.
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Citations
Cites
The Catalytic Valorization of Lignin for the Production of Renewable Chemicals
Zakzeski, J., Bruijnincx, P. C. A., Jongerius, A. L., & Weckhuysen, B. M. (2010) · Chemical Reviews · doi:10.1021/cr900354u · Cited by 4,468
Cited by
Downstream processing of lignin derived feedstock into end products
Wong, S. S., Shu, R., Zhang, J., Liu, H., & Yan, N. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00134a · Cited by 528
Song, C., Cheng, W., Wu, X., Zhao, S., Tang, Y., Tang, X., Xu, Y., Lin, L., & Yao, S. (2025) · Catalysis Science & Technology · doi:10.1039/d4cy01260g · Cited by 9
Metadata
- Authors
- Nakagawa, Y., Ishikawa, M., Tamura, M., & Tomishige, K.
- Venue
- Green Chem.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 16
- Issue
- 4
- Pages
- 2197-2203
- ISSN
- 1463-9262 (ISSN-L)
- 1463-9270
- OpenAlex
- W2125520225
- Cited by
- 180
- References
- 1
- FWCI
- 6.29
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Selective production of cyclohexanol and methanol from guaiacol over Ru catalyst combined with MgO. https://app.cochat.ai/papers/10.1039/c3gc42322k
- The paper
- Nakagawa, Y., Ishikawa, M., Tamura, M., & Tomishige, K. (2014). Selective production of cyclohexanol and methanol from guaiacol over Ru catalyst combined with MgO. Green Chem. https://doi.org/10.1039/c3gc42322k
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.
