Header Logo
Keywords
Last Name
Institution
Announcement

You can now add alternative names! Click here to add other names that you've published under.

Connection

Fenghuang Zhan to Models, Biological

This is a "connection" page, showing publications Fenghuang Zhan has written about Models, Biological.

 
Connection Strength
 
 
 
0.448
 
  1. Zhan F, Barlogie B, Mulligan G, Shaughnessy JD, Bryant B. High-risk myeloma: a gene expression based risk-stratification model for newly diagnosed multiple myeloma treated with high-dose therapy is predictive of outcome in relapsed disease treated with single-agent bortezomib or high-dose dexamethasone. Blood. 2008 Jan 15; 111(2):968-9.
    View in: PubMed
    Score: 0.240
  2. Franqui-Machin R, Hao M, Bai H, Gu Z, Zhan X, Habelhah H, Jethava Y, Qiu L, Frech I, Tricot G, Zhan F. Destabilizing NEK2 overcomes resistance to proteasome inhibition in multiple myeloma. J Clin Invest. 2018 07 02; 128(7):2877-2893.
    View in: PubMed
    Score: 0.123
  3. Mulligan G, Mitsiades C, Bryant B, Zhan F, Chng WJ, Roels S, Koenig E, Fergus A, Huang Y, Richardson P, Trepicchio WL, Broyl A, Sonneveld P, Shaughnessy JD, Bergsagel PL, Schenkein D, Esseltine DL, Boral A, Anderson KC. Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib. Blood. 2007 Apr 15; 109(8):3177-88.
    View in: PubMed
    Score: 0.056
  4. Park ES, Shaughnessy JD, Gupta S, Wang H, Lee JS, Woo HG, Zhan F, Owens JD, Potter M, Janz S, Mushinski JF. Gene expression profiling reveals different pathways related to Abl and other genes that cooperate with c-Myc in a model of plasma cell neoplasia. BMC Genomics. 2007 Aug 31; 8:302.
    View in: PubMed
    Score: 0.015
  5. Colla S, Zhan F, Xiong W, Wu X, Xu H, Stephens O, Yaccoby S, Epstein J, Barlogie B, Shaughnessy JD. The oxidative stress response regulates DKK1 expression through the JNK signaling cascade in multiple myeloma plasma cells. Blood. 2007 May 15; 109(10):4470-7.
    View in: PubMed
    Score: 0.014
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.