 Connection
Rajesh Agarwal to Biomarkers, Tumor
This is a "connection" page, showing publications Rajesh Agarwal has written about Biomarkers, Tumor.
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Connection Strength |
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0.607 |
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Raina K, Serkova NJ, Agarwal R. Silibinin feeding alters the metabolic profile in TRAMP prostatic tumors: 1H-NMRS-based metabolomics study. Cancer Res. 2009 May 01; 69(9):3731-5.
Score: 0.196
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Singh RP, Deep G, Chittezhath M, Kaur M, Dwyer-Nield LD, Malkinson AM, Agarwal R. Effect of silibinin on the growth and progression of primary lung tumors in mice. J Natl Cancer Inst. 2006 Jun 21; 98(12):846-55.
Score: 0.161
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Panigrahi GK, Praharaj PP, Kittaka H, Mridha AR, Black OM, Singh R, Mercer R, van Bokhoven A, Torkko KC, Agarwal C, Agarwal R, Abd Elmageed ZY, Yadav H, Mishra SK, Deep G. Exosome proteomic analyses identify inflammatory phenotype and novel biomarkers in African American prostate cancer patients. Cancer Med. 2019 03; 8(3):1110-1123.
Score: 0.096
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Raina K, Ravichandran K, Rajamanickam S, Huber KM, Serkova NJ, Agarwal R. Inositol hexaphosphate inhibits tumor growth, vascularity, and metabolism in TRAMP mice: a multiparametric magnetic resonance study. Cancer Prev Res (Phila). 2013 Jan; 6(1):40-50.
Score: 0.063
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Raina K, Rajamanickam S, Singh RP, Deep G, Chittezhath M, Agarwal R. Stage-specific inhibitory effects and associated mechanisms of silibinin on tumor progression and metastasis in transgenic adenocarcinoma of the mouse prostate model. Cancer Res. 2008 Aug 15; 68(16):6822-30.
Score: 0.047
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Guth A, Monk E, Agarwal R, Bergman BC, Zemski-Berry KA, Minic A, Jordan K, Schlaepfer IR. Targeting Fat Oxidation in Mouse Prostate Cancer Decreases Tumor Growth and Stimulates Anti-Cancer Immunity. Int J Mol Sci. 2020 Dec 18; 21(24).
Score: 0.028
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Derry MM, Raina K, Balaiya V, Jain AK, Shrotriya S, Huber KM, Serkova NJ, Agarwal R, Agarwal C. Grape seed extract efficacy against azoxymethane-induced colon tumorigenesis in A/J mice: interlinking miRNA with cytokine signaling and inflammation. Cancer Prev Res (Phila). 2013 Jul; 6(7):625-33.
Score: 0.016
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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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