Connection
Fenghuang Zhan to Bone Marrow
This is a "connection" page, showing publications Fenghuang Zhan has written about Bone Marrow.
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Connection Strength |
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0.242 |
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Salama ME, Du S, Efimova O, Heikal NM, Wendlandt E, Toydemir RM, South S, Perkins SL, Hussong JW, Zhan F. Neoplastic plasma cell aberrant antigen expression patterns and their association with genetic abnormalities. Leuk Lymphoma. 2015 Feb; 56(2):426-33.
Score: 0.104
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Caviness PC, Lazarenko OP, Blackburn ML, Chen JF, Randolph CE, Zabaleta J, Zhan F, Chen JR. Phenolic acids prevent sex-steroid deficiency-induced bone loss and bone marrow adipogenesis in mice. J Nutr Biochem. 2024 05; 127:109601.
Score: 0.050
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Deshpande S, Tytarenko RG, Wang Y, Boyle EM, Ashby C, Schinke CD, Thanendrarajan S, Zangari M, Zhan F, Davies FE, Morgan GJ, van Rhee F, Walker BA. Monitoring treatment response and disease progression in myeloma with circulating cell-free DNA. Eur J Haematol. 2021 Feb; 106(2):230-240.
Score: 0.040
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Tian E, Zhan F, Walker R, Rasmussen E, Ma Y, Barlogie B, Shaughnessy JD. The role of the Wnt-signaling antagonist DKK1 in the development of osteolytic lesions in multiple myeloma. N Engl J Med. 2003 Dec 25; 349(26):2483-94.
Score: 0.012
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Kelly T, Miao HQ, Yang Y, Navarro E, Kussie P, Huang Y, MacLeod V, Casciano J, Joseph L, Zhan F, Zangari M, Barlogie B, Shaughnessy J, Sanderson RD. High heparanase activity in multiple myeloma is associated with elevated microvessel density. Cancer Res. 2003 Dec 15; 63(24):8749-56.
Score: 0.012
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Zent CS, Zhan F, Schichman SA, Bumm KH, Lin P, Chen JB, Shaughnessy JD. The distinct gene expression profiles of chronic lymphocytic leukemia and multiple myeloma suggest different anti-apoptotic mechanisms but predict only some differences in phenotype. Leuk Res. 2003 Sep; 27(9):765-74.
Score: 0.012
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Santra M, Zhan F, Tian E, Barlogie B, Shaughnessy J. A subset of multiple myeloma harboring the t(4;14)(p16;q32) translocation lacks FGFR3 expression but maintains an IGH/MMSET fusion transcript. Blood. 2003 Mar 15; 101(6):2374-6.
Score: 0.012
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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.
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