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Connection

Fenghuang Zhan to Neoplastic Stem Cells

This is a "connection" page, showing publications Fenghuang Zhan has written about Neoplastic Stem Cells.

 
Connection Strength
  
 
 
1.707
  
  1. Gao M, Bai H, Jethava Y, Wu Y, Zhu Y, Yang Y, Xia J, Cao H, Franqui-Machin R, Nadiminti K, Thomas GS, Salama ME, Altevogt P, Bishop G, Tomasson M, Janz S, Shi J, Chen L, Frech I, Tricot G, Zhan F. Identification and Characterization of Tumor-Initiating Cells in Multiple Myeloma. J Natl Cancer Inst. 2020 05 01; 112(5):507-515.
    View in: PubMed
    Score: 0.662
  2. Yang Y, Shi J, Gu Z, Salama ME, Das S, Wendlandt E, Xu H, Huang J, Tao Y, Hao M, Franqui R, Levasseur D, Janz S, Tricot G, Zhan F. Bruton tyrosine kinase is a therapeutic target in stem-like cells from multiple myeloma. Cancer Res. 2015 Feb 01; 75(3):594-604.
    View in: PubMed
    Score: 0.459
  3. Schibler J, Tomanek-Chalkley AM, Reedy JL, Zhan F, Spitz DR, Schultz MK, Goel A. Mitochondrial-Targeted Decyl-Triphenylphosphonium Enhances 2-Deoxy-D-Glucose Mediated Oxidative Stress and Clonogenic Killing of Multiple Myeloma Cells. PLoS One. 2016; 11(11):e0167323.
    View in: PubMed
    Score: 0.131
  4. Franqui-Machin R, Wendlandt EB, Janz S, Zhan F, Tricot G. Cancer stem cells are the cause of drug resistance in multiple myeloma: fact or fiction? Oncotarget. 2015 Dec 01; 6(38):40496-506.
    View in: PubMed
    Score: 0.122
  5. Zhan F, Zangari M, Qiu L. Drug resistance in hematologic malignancies: induction mechanisms, genetics, and therapeutics. Biomed Res Int. 2015; 2015:384575.
    View in: PubMed
    Score: 0.117
  6. Gao L, Zhan F, Shi J. [Myeloma cancer stem cells:the new target for multiple myeloma]. Zhonghua Xue Ye Xue Za Zhi. 2014 Dec; 35(12):1134-7.
    View in: PubMed
    Score: 0.114
  7. Yang Y, Shi J, Tolomelli G, Xu H, Xia J, Wang H, Zhou W, Zhou Y, Das S, Gu Z, Levasseur D, Zhan F, Tricot G. RARa2 expression confers myeloma stem cell features. Blood. 2013 Aug 22; 122(8):1437-47.
    View in: PubMed
    Score: 0.103
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.