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Cited by 487

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Targeting Antibiotic Resistance

Open access
Chellat, Mathieu F., Raguž, Luka, Riedl, Rainer·2016·Angewandte Chemie International Edition

Abstract

Finding strategies against the development of antibiotic resistance is a major global challenge for the life sciences community and for public health. The past decades have seen a dramatic worldwide increase in human‐pathogenic bacteria that are resistant to one or multiple antibiotics. More and more infections caused by resistant microorganisms fail to respond to conventional treatment, and in some cases, even last‐resort antibiotics have lost their power. In addition, industry pipelines for the development of novel antibiotics have run dry over the past decades. A recent world health day by the World Health Organization titled “Combat drug resistance: no action today means no cure tomorrow” triggered an increase in research activity, and several promising strategies have been developed to restore treatment options against infections by resistant bacterial pathogens.

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Integrity signals

Registry

Crossref · 10.1002/anie.201506818

Cites

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Metadata

Authors
Chellat, M. F., Raguž, L., & Riedl, R.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2016-03-22
Volume
55
Issue
23
Pages
6600-6626
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2312102558
Cited by
487
References
13
FWCI
20.99
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Targeting Antibiotic Resistance. https://app.cochat.ai/papers/10.1002/anie.201506818
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Chellat, M. F., Raguž, L., & Riedl, R. (2016). Targeting Antibiotic Resistance. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201506818

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.