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Connection

Gagan Deep to Disease Models, Animal

This is a "connection" page, showing publications Gagan Deep has written about Disease Models, Animal.
Connection Strength

0.196
  1. 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.
    View in: PubMed
    Score: 0.060
  2. Deep G, Agarwal R. Chemopreventive efficacy of silymarin in skin and prostate cancer. Integr Cancer Ther. 2007 Jun; 6(2):130-45.
    View in: PubMed
    Score: 0.055
  3. Rigby C, Deep G, Jain A, Orlicky DJ, Agarwal C, Agarwal R. Silibinin inhibits ultraviolet B radiation-induced mast cells recruitment and bone morphogenetic protein 2 expression in the skin at early stages in Ptch(+/-) mouse model of basal cell carcinoma. Mol Carcinog. 2019 07; 58(7):1260-1271.
    View in: PubMed
    Score: 0.031
  4. Tilley C, Deep G, Agarwal C, Wempe MF, Biedermann D, Valentová K, Kren V, Agarwal R. Silibinin and its 2,3-dehydro-derivative inhibit basal cell carcinoma growth via suppression of mitogenic signaling and transcription factors activation. Mol Carcinog. 2016 Jan; 55(1):3-14.
    View in: PubMed
    Score: 0.023
  5. Raina K, Blouin MJ, Singh RP, Majeed N, Deep G, Varghese L, Glodé LM, Greenberg NM, Hwang D, Cohen P, Pollak MN, Agarwal R. Dietary feeding of silibinin inhibits prostate tumor growth and progression in transgenic adenocarcinoma of the mouse prostate model. Cancer Res. 2007 Nov 15; 67(22):11083-91.
    View in: PubMed
    Score: 0.014
  6. 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.
    View in: PubMed
    Score: 0.013
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.