The DOI matches its Crossref record; 219 of the 219 references it cites were found in a registry or an index.
The independence of and associations among apoptosis, autophagy, and necrosis
Open accessAbstract
Cell death is an essential biological process for physiological growth and development. Three classical forms of cell death—apoptosis, autophagy, and necrosis—display distinct morphological features by activating specific signaling pathways. With recent research advances, we have started to appreciate that these cell death processes can cross-talk through interconnecting, even overlapping, signaling pathways, and the final cell fate is the result of the interplay of different cell death programs. This review provides an insight into the independence of and associations among these three types of cell death and explores the significance of cell death under the specific conditions of human diseases, particularly neurodegenerative diseases and cancer.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Selective killing of cancer cells by a small molecule targeting the stress response to ROS
Raj, L., Ide, T., Gurkar, A. U., Foley, M., Schenone, M., Li, X., Tolliday, N. J., Golub, T. R., Carr, S. A., Shamji, A. F., et al. (2011) · Nature · doi:10.1038/nature10167 · Cited by 1,030
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Apoptosis: A Basic Biological Phenomenon with Wideranging Implications in Tissue Kinetics
Kerr, J. F. R., Wyllie, A. H., & Currie, A. R. (1972) · British Journal of Cancer · doi:10.1038/bjc.1972.33 · Cited by 15,725
Pattern Recognition Receptors and Inflammation
Takeuchi, O., & Akira, S. (2010) · Cell · doi:10.1016/j.cell.2010.01.022 · Cited by 8,895
AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1
Kim, J., Kundu, M., Viollet, B., & Guan, K.-L. (2011) · Nature Cell Biology · doi:10.1038/ncb2152 · Cited by 7,227
Autophagy in the Pathogenesis of Disease
Levine, B., & Kroemer, G. (2008) · Cell · doi:10.1016/j.cell.2007.12.018 · Cited by 7,069
Autophagy: Renovation of Cells and Tissues
Mizushima, N., & Komatsu, M. (2011) · Cell · doi:10.1016/j.cell.2011.10.026 · Cited by 6,418
Death Receptors: Signaling and Modulation
Ashkenazi, A., & Dixit, V. M. (1998) · Science · doi:10.1126/science.281.5381.1305 · Cited by 5,866
Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach?
Trachootham, D., Alexandre, J., & Huang, P. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2803 · Cited by 5,452
Danial, N. N., & Korsmeyer, S. J. (2004) · Cell · doi:10.1016/s0092-8674(04)00046-7 · Cited by 4,651
Cited by
Gómez-Virgilio, L., Silva-Lucero, M.-D.-C., Flores-Morelos, D.-S., Gallardo-Nieto, J., Lopez-Toledo, G., Abarca-Fernandez, A.-M., Zacapala-Gómez, A.-E., Luna-Muñoz, J., Montiel-Sosa, F., Soto-Rojas, L. O., et al. (2022) · Cells · doi:10.3390/cells11152262 · Cited by 431
Elbaz, E. M., Ibrahim, S. M., Rashad, E., Yasin, N. A. E., Ghaiad, H. R., & Mehana, N. A. (2025) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.5c00351 · Cited by 21
Metadata
- Authors
- Chen, Q., Kang, J., & Fu, C.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2018-07-01
- Volume
- 3
- Issue
- 1
- Pages
- 18-18
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W2810304164
- Cited by
- 346
- References
- 219
- FWCI
- 13.03
- Type
- journal article
- Language
- en
- Open access
- gold
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The independence of and associations among apoptosis, autophagy, and necrosis. https://app.cochat.ai/papers/10.1038/s41392-018-0018-5
- The paper
- Chen, Q., Kang, J., & Fu, C. (2018). The independence of and associations among apoptosis, autophagy, and necrosis. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-018-0018-5
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.