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Cited by 860

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Organic Electrochemistry: Molecular Syntheses with Potential

Open access
Zhu, Cuiju, Ang, Nate W. J., Meyer, Tjark H., Qiu, Youai, Ackermann, Lutz·2021·ACS Central Science

Abstract

Abstract Efficient and selective molecular syntheses are paramount to inter alia biomolecular chemistry and material sciences as well as for practitioners in chemical, agrochemical, and pharmaceutical industries. Organic electrosynthesis has undergone a considerable renaissance and has thus in recent years emerged as an increasingly viable platform for the sustainable molecular assembly. In stark contrast to early strategies by innate reactivity, electrochemistry was recently merged with modern concepts of organic synthesis, such as transition-metal-catalyzed transformations for inter alia C–H functionalization and asymmetric catalysis. Herein, we highlight the unique potential of organic electrosynthesis for sustainable synthesis and catalysis, showcasing key aspects of exceptional selectivities, the synergism with photocatalysis, or dual electrocatalysis, and novel mechanisms in metallaelectrocatalysis until February of 2021.

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Crossref · 10.1021/acscentsci.0c01532

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Metadata

Authors
Zhu, C., Ang, N. W. J., Meyer, T. H., Qiu, Y., & Ackermann, L.
Venue
ACS Central Science
Published
2021-03-09
Volume
7
Issue
3
Pages
415-431
ISSN
  • 2374-7943 (ISSN-L)
  • 2374-7951
OpenAlex
W3134055974
Cited by
860
References
4
FWCI
48.83
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Organic Electrochemistry: Molecular Syntheses with Potential. https://app.cochat.ai/papers/10.1021/acscentsci.0c01532
The paper
Zhu, C., Ang, N. W. J., Meyer, T. H., Qiu, Y., & Ackermann, L. (2021). Organic Electrochemistry: Molecular Syntheses with Potential. ACS Central Science. https://doi.org/10.1021/acscentsci.0c01532

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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.