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Cited by 675

The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.

Asymmetric Heterogeneous Catalysis

Heitbaum, Maja, Glorius, Frank, Escher, Iris·2006·Angewandte Chemie International Edition

Abstract

Limited natural resources and an increasing demand for enantiomerically pure compounds render catalysis and especially heterogeneous asymmetric catalysis a key technology. The field has rapidly advanced from the initial use of chiral biopolymers, such as silk, as a support for metal catalysts to the modern research areas. Mesoporous supports, noncovalent immobilization, metal–organic catalysts, chiral modifiers: many areas are rapidly evolving. This Review shows that these catalysts have more to them than facile separation or recycling. Better activities and selectivities can be obtained than with the homogeneous catalyst and novel, efficient reaction mechanisms can be employed. Especially fascinating is the outlook for highly ordered metal–organic catalysts that might allow a rational design, synthesis, and the unequivocal structural characterization to give tailor‐made catalysts.

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Registry

Crossref · 10.1002/anie.200504212

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Metadata

Authors
Heitbaum, M., Glorius, F., & Escher, I.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2006-07-10
Volume
45
Issue
29
Pages
4732-4762
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2130949639
Cited by
675
References
101
FWCI
23.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Asymmetric Heterogeneous Catalysis. https://app.cochat.ai/papers/10.1002/anie.200504212
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Heitbaum, M., Glorius, F., & Escher, I. (2006). Asymmetric Heterogeneous Catalysis. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200504212

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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.