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Cited by 297

The DOI matches its Crossref record; 289 of the 289 references it cites were found in a registry or an index.

Advanced Biotechnology: Metabolically Engineered Cells for the Bio‐Based Production of Chemicals and Fuels, Materials, and Health‐Care Products

Becker, Judith, Wittmann, Christoph·2015·Angewandte Chemie International Edition

Abstract

Corynebacterium glutamicum, Escherichia coli, and Saccharomyces cerevisiae in particular, have become established as important industrial workhorses in biotechnology. Recent years have seen tremendous progress in their advance into tailor‐made producers, driven by the upcoming demand for sustainable processes and renewable raw materials. Here, the diversity and complexity of nature is simultaneously a challenge and a benefit. Harnessing biodiversity in the right manner through synergistic progress in systems metabolic engineering and chemical synthesis promises a future innovative bio‐economy.

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Registry

Crossref · 10.1002/anie.201409033

Cites

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Metadata

Authors
Becker, J., & Wittmann, C.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2015-02-11
Volume
54
Issue
11
Pages
3328-3350
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W1990931150
Cited by
297
References
289
FWCI
14.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advanced Biotechnology: Metabolically Engineered Cells for the Bio‐Based Production of Chemicals and Fuels, Materials, and Health‐Care Products. https://app.cochat.ai/papers/10.1002/anie.201409033
The paper
Becker, J., & Wittmann, C. (2015). Advanced Biotechnology: Metabolically Engineered Cells for the Bio‐Based Production of Chemicals and Fuels, Materials, and Health‐Care Products. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201409033

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.