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Cited by 1,374

The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.

Zebrafish as a Model Vertebrate for Investigating Chemical Toxicity

Hill, Adrian J., Teraoka, Hiroki, Heideman, Warren, Peterson, Richard E.·2005·Toxicological Sciences

Abstract

Zebrafish (Danio rerio) has been a prominent model vertebrate in a variety of biological disciplines. Substantial information gathered from developmental and genetic research, together with near-completion of the zebrafish genome project, has placed zebrafish in an attractive position for use as a toxicological model. Although still in its infancy, there is a clear potential for zebrafish to provide valuable new insights into chemical toxicity, drug discovery, and human disease using recent advances in forward and reverse genetic techniques coupled with large-scale, high-throughput screening. Here we present an overview of the rapidly increasing use of zebrafish in toxicology. Advantages of the zebrafish both in identifying endpoints of toxicity and in elucidating mechanisms of toxicity are highlighted.

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Registry

Crossref · 10.1093/toxsci/kfi110

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Metadata

Authors
Hill, A. J., Teraoka, H., Heideman, W., & Peterson, R. E.
Venue
Toxicological Sciences
Published
2005-02-09
Volume
86
Issue
1
Pages
6-19
ISSN
  • 1096-0929 (ISSN-L)
  • 1096-6080
OpenAlex
W2158406641
Cited by
1,374
References
145
FWCI
9.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Zebrafish as a Model Vertebrate for Investigating Chemical Toxicity. https://app.cochat.ai/papers/10.1093/toxsci/kfi110
The paper
Hill, A. J., Teraoka, H., Heideman, W., & Peterson, R. E. (2005). Zebrafish as a Model Vertebrate for Investigating Chemical Toxicity. Toxicological Sciences. https://doi.org/10.1093/toxsci/kfi110

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.