The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Ablation of Fbxw7 Eliminates Leukemia-Initiating Cells by Preventing Quiescence
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A Chemical Inhibitor of p53 That Protects Mice from the Side Effects of Cancer Therapy
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Self-citationSmall-molecule perturbation of competing interactions between c-Myc and Max
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Cited by
Batlle, E., & Clevers, H. (2017) · Nature Medicine · doi:10.1038/nm.4409 · Cited by 2,769
Stem cell programs in cancer initiation, progression, and therapy resistance
Huang, T., Song, X., Xu, D., Tiek, D., Goenka, A., Wu, B., Sastry, N., Hu, B., & Cheng, S.-Y. (2020) · Theranostics · doi:10.7150/thno.41648 · Cited by 524
Ubiquitin ligases in oncogenic transformation and cancer therapy
Senft, D., Qi, J., & Ronai, Z. A. (2018) · Nature Reviews Cancer · doi:10.1038/nrc.2017.105 · Cited by 489
Hair follicle aging is driven by transepidermal elimination of stem cells via COL17A1 proteolysis
Matsumura, H., Mohri, Y., Binh, N. T., Morinaga, H., Fukuda, M., Ito, M., Kurata, S., Hoeijmakers, J., & Nishimura, E. K. (2016) · Science · doi:10.1126/science.aad4395 · Cited by 416
Artificial intelligence in oncology
Shimizu, H., & Nakayama, K. I. (2020) · Cancer Science · doi:10.1111/cas.14377 · Cited by 388
Self-citation
Metadata
- Authors
- Takeishi, S., Matsumoto, A., Onoyama, I., Naka, K., Hirao, A., & Nakayama, K. I.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 23
- Issue
- 3
- Pages
- 347-361
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2009591068
- Cited by
- 178
- References
- 10
- FWCI
- 12.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- Takeishi, S., Matsumoto, A., Onoyama, I., Naka, K., Hirao, A., & Nakayama, K. I. (2013). Ablation of Fbxw7 Eliminates Leukemia-Initiating Cells by Preventing Quiescence. Cancer Cell. https://doi.org/10.1016/j.ccr.2013.01.026
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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.