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Cited by 294

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Amide Bond Formation Strategies: Latest Advances on a Dateless Transformation

Open access
Massolo, Elisabetta, Pirola, Margherita, Benaglia, Maurizio·2020·European Journal of Organic Chemistry

Abstract

The synthesis of amides remains one of the most important transformations and it is one of the more frequently performed reactions. In the pharmaceutical industry, the formation of the amide group is pivotal and among the more important transformations in the design of the synthetic plan. This review presents an overview of only very recent contributions, published in the last three years, to highlight the latest progress in this “dateless” reaction, with a special focus on metal‐free methodologies. New, more efficient and/or greener stoichiometric methods, as well as catalytic strategies, have been discussed, either for the “classic” coupling approach between an amine and a carboxylic acid (or its activated equivalent) or for more innovative approaches, mainly involving oxidation procedures to generate amides starting from amines.

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Crossref · 10.1002/ejoc.202000080

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Metadata

Authors
Massolo, E., Pirola, M., & Benaglia, M.
Venue
European Journal of Organic Chemistry
Publisher
Wiley
Published
2020-05-04
Volume
2020
Issue
30
Pages
4641-4651
ISSN
  • 1099-0690 (ISSN-L)
  • 1434-193X
OpenAlex
W3012303473
Cited by
294
References
47
FWCI
13.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Amide Bond Formation Strategies: Latest Advances on a Dateless Transformation. https://app.cochat.ai/papers/10.1002/ejoc.202000080
The paper
Massolo, E., Pirola, M., & Benaglia, M. (2020). Amide Bond Formation Strategies: Latest Advances on a Dateless Transformation. European Journal of Organic Chemistry. https://doi.org/10.1002/ejoc.202000080

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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.