The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
TRIM14 Inhibits cGAS Degradation Mediated by Selective Autophagy Receptor p62 to Promote Innate Immune Responses
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Cites
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Cited by
Molecular mechanisms and cellular functions of cGAS–STING signalling
Hopfner, K.-P., & Hornung, V. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0244-x · Cited by 2,052
DNA sensing by the cGAS–STING pathway in health and disease
Motwani, M., Pesiridis, S., & Fitzgerald, K. A. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0151-1 · Cited by 1,467
Autophagy in inflammation, infection, and immunometabolism
Deretic, V. (2021) · Immunity · doi:10.1016/j.immuni.2021.01.018 · Cited by 862
Lee (2019) · doi:10.1038/s12276-019-0299-y · Cited by 635
Autophagy balances inflammation in innate immunity
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Metadata
- Authors
- Chen, M., Meng, Q., Qin, Y., Liang, P., Tan, P., He, L., Zhou, Y., Chen, Y., Huang, J., Wang, R.-F., & Cui, J.
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 64
- Issue
- 1
- Pages
- 105-119
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W2521402386
- Cited by
- 367
- References
- 48
- FWCI
- 12.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: TRIM14 Inhibits cGAS Degradation Mediated by Selective Autophagy Receptor p62 to Promote Innate Immune Responses. https://app.cochat.ai/papers/10.1016/j.molcel.2016.08.025
- The paper
- Chen, M., Meng, Q., Qin, Y., Liang, P., Tan, P., He, L., Zhou, Y., Chen, Y., Huang, J., Wang, R.-F., & Cui, J. (2016). TRIM14 Inhibits cGAS Degradation Mediated by Selective Autophagy Receptor p62 to Promote Innate Immune Responses. Molecular Cell. https://doi.org/10.1016/j.molcel.2016.08.025
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.
