The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Step further towards targeted senolytic therapy: therapeutic potential of uPAR-CAR T cells for senescence-related diseases
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In the citing paper
“Additional targets under investigation include NKG2D ligands and DPP4, expanding the potential repertoire for CAR-T–based senolytic therapies66.”
From Emerging strategies in senotherapeutics: from broad-spectrum senolysis to precision reprogramming (2026) · cites this paper as [66]
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Citations
Cites
Senolytic CAR T cells reverse senescence-associated pathologies
Amor, C., Feucht, J., Leibold, J., Ho, Y.-J., Zhu, C., Alonso-Curbelo, D., Mansilla-Soto, J., Boyer, J. A., Li, X., Giavridis, T., et al. (2020) · Nature · doi:10.1038/s41586-020-2403-9 · Cited by 1,098
Flagged first, then by citations
Research works printed but not linked: 4
- Chang, J. et al. Clearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in mice. Nat. Med. 22, 78–83 (2016). · DOI · Paper page
- van Deursen, J. M. Senolytic therapies for healthy longevity. Science 364, 636–637 (2019). · DOI · Paper page
- Wang, L. et al. Basing on uPAR-binding fragment to design chimeric antigen receptors triggers antitumor efficacy against uPAR expressing ovarian cancer cells. Biomed. Pharmacother. 117, 109173 (2019). · DOI
- Yu, S., Yi, M., Qin, S. & Wu, K. Next generation chimeric antigen receptor T cells: safety strategies to overcome toxicity. Mol. Cancer 18, 125 (2019). · DOI
Cited by
Sorted by citations
Emerging strategies in senotherapeutics: from broad-spectrum senolysis to precision reprogramming
Zhang, W., Song, S., Zhang, Y., Pan, Y., Hu, D., & Wang, Y. (2026) · npj Aging · doi:10.1038/s41514-026-00355-z · Cited by 6
Metadata
- Authors
- Huang, Y., & Liu, T.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2020-08-13
- Volume
- 5
- Issue
- 1
- ISSN
- 2059-3635
- PMC
- PMC7426266
- Cited by
- 25
- References
- 1
- Language
- en
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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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