Identification of Rad51 alteration in patients with bilateral breast cancer

By Masahiro Kato, Ken-ichi Yano, F. Matsuo, H. Saito, T. Katagiri, H. Kurumizaka, M. Yoshimoto, F. Kasumi, F. Akiyama, G. Sakamoto and 3 more. 2000

115 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Sociology and Political Science, Transportation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Rendong Yang
2. Yun Bai
3. Zhaohui S. Qin
4. Tianwei Yu
5. G. Byrnes
6. F. Le Calvez-Kelm
7. E. John
8. J. Oliver

Citations in the corpus

• EgoNet: identification of human disease ego-network modules (2014, background): “When applied to a triple-negative breast cancer (TNBC) microarray dataset, the top selected modules contain both known gene markers in TNBC and novel candidates, such as RAD51 and DOK1, which play a central role in their respective ego-networks by connecting many differentially expressed genes.”
• RAD51 and Breast Cancer Susceptibility: No Evidence for Rare Variant Association in the Breast Cancer Family Registry Study (2012, background): “unrelated patients with familial breast cancer, one with synchronous bilateral breast cancer and the other with synchronous bilateral multiple breast cancer [32,33].”