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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Yan Cheng and Samer Al Hadidi.

 
Connection Strength
 
 
 
0.463
 
  1. Cheng Y, Sun F, Alapat DV, Wanchai V, Mery D, Guo W, Cao H, Zhu Y, Ashby C, Bauer MA, Nookaew I, Siegel ER, Ying J, Chen JR, Gai D, Peng B, Xu H, Bailey C, Al Hadidi S, Schinke C, Thanendrarajan S, Zangari M, Chesi M, Bergsagel PL, van Rhee F, Janz S, Tricot G, Shaughnessy JD, Zhan F. High NEK2 expression in myeloid progenitors suppresses T?cell immunity in multiple myeloma. Cell Rep Med. 2023 10 17; 4(10):101214.
    View in: PubMed
    Score: 0.230
  2. Guo W, Strouse C, Mery D, Siegel ER, Munshi MN, Ashby TC, Cheng Y, Sun F, Wanchai V, Zhang Z, Bailey C, Alapat DV, Peng H, Al Hadidi S, Thanendrarajan S, Schinke C, Zangari M, van Rhee F, Tricot G, Shaughnessy JD, Zhan F. A Risk Stratification System in Myeloma Patients with Autologous Stem Cell Transplantation. Cancers (Basel). 2024 Mar 11; 16(6).
    View in: PubMed
    Score: 0.059
  3. Sun F, Cheng Y, Wanchai V, Guo W, Mery D, Xu H, Gai D, Siegel E, Bailey C, Ashby C, Al Hadidi S, Schinke C, Thanendrarajan S, Ma Y, Yi Q, Orlowski RZ, Zangari M, van Rhee F, Janz S, Bishop G, Tricot G, Shaughnessy JD, Zhan F. Bispecific BCMA/CD24 CAR-T cells control multiple myeloma growth. Nat Commun. 2024 Jan 19; 15(1):615.
    View in: PubMed
    Score: 0.059
  4. Sun F, Cheng Y, Chen JR, Wanchai V, Mery DE, Xu H, Gai D, Al Hadidi S, Schinke C, Thanendrarajan S, Zangari M, van Rhee F, Tricot G, Shaughnessy JD, Zhan F. BCMA- and CST6-specific CAR T cells lyse multiple myeloma cells and suppress murine osteolytic lesions. J Clin Invest. 2024 Jan 02; 134(1).
    View in: PubMed
    Score: 0.058
  5. Sun F, Cheng Y, Ying J, Mery D, Al Hadidi S, Wanchai V, Siegel ER, Xu H, Gai D, Ashby TC, Bailey C, Chen JR, Schinke C, Thanendrarajan S, Zangari M, Janz S, Barlogie B, Van Rhee F, Tricot G, Shaughnessy JD, Zhan F. A gene signature can predict risk of MGUS progressing to multiple myeloma. J Hematol Oncol. 2023 06 29; 16(1):70.
    View in: PubMed
    Score: 0.056
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.