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p53-Dependent Cell Death Signaling in Neurons
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“In addition, ischemia at different organ sites can provoke p53-dependent apoptosis that contributes to the resultant pathologies, as in the cases of stroke and myocardial infarction (Liu et al., 2006; Luo et al., 2009; Morrison et al., 2003).”
From p53 at a glance (2010) · cites this paper as Morrison et al., 2003
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Noxa, a BH3-Only Member of the Bcl-2 Family and Candidate Mediator of p53-Induced Apoptosis
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Metadata
- Authors
- Morrison, R. S., Kinoshita, Y., Johnson, M. D., Guo, W., & Garden, G. A.
- Venue
- Neurochemical Research
- Published
- 2003-01
- Volume
- 28
- Issue
- 1
- Pages
- 15-27
- ISSN
- 0364-3190
- 1573-6903
- Cited by
- 158
- References
- 9
- Language
- en
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: p53-Dependent Cell Death Signaling in Neurons. https://app.cochat.ai/papers/10.1023/a:1021687810103
- The paper
- Morrison, R. S., Kinoshita, Y., Johnson, M. D., Guo, W., & Garden, G. A. (2003). p53-Dependent Cell Death Signaling in Neurons. Neurochemical Research. https://doi.org/10.1023/a%3A1021687810103
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.