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Connection

Sarah Johnson to Plasma Cells

This is a "connection" page, showing publications Sarah Johnson has written about Plasma Cells.

 
Connection Strength
  
 
 
0.392
  
  1. Boyle EM, Rosenthal A, Ghamlouch H, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Wang Y, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Dhodapkar MV, Davies FE, Morgan GJ, van Rhee F, Walker BA. Plasma cells expression from smouldering myeloma to myeloma reveals the importance of the PRC2 complex, cell cycle progression, and the divergent evolutionary pathways within the different molecular subgroups. Leukemia. 2022 02; 36(2):591-595.
    View in: PubMed
    Score: 0.174
  2. Boyle EM, Ashby C, Wardell CP, Rowczenio D, Sachchithanantham S, Wang Y, Johnson SK, Bauer MA, Weinhold N, Kaiser MF, Johnson DC, Jones JR, Pawlyn C, Proszek P, Schinke C, Facon T, Dumontet C, Davies FE, Morgan GJ, Walker BA, Wechalekar AD. The genomic landscape of plasma cells in systemic light chain amyloidosis. Blood. 2018 12 27; 132(26):2775-2777.
    View in: PubMed
    Score: 0.144
  3. Boyle EM, Rosenthal A, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Davies FE, Walker BA, van Rhee F, Morgan GJ. High-risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse. Br J Haematol. 2021 10; 195(2):283-286.
    View in: PubMed
    Score: 0.043
  4. Paiva B, Corchete LA, Vidriales MB, Puig N, Maiso P, Rodriguez I, Alignani D, Burgos L, Sanchez ML, Barcena P, Echeveste MA, Hernandez MT, Garc?a-Sanz R, Ocio EM, Oriol A, Gironella M, Palomera L, De Arriba F, Gonzalez Y, Johnson SK, Epstein J, Barlogie B, Lahuerta JJ, Blade J, Orfao A, Mateos MV, San Miguel JF. Phenotypic and genomic analysis of multiple myeloma minimal residual disease tumor cells: a new model to understand chemoresistance. Blood. 2016 Apr 14; 127(15):1896-906.
    View in: PubMed
    Score: 0.030
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.