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Connection

Michael Olivier to Mice

This is a "connection" page, showing publications Michael Olivier has written about Mice.
Connection Strength

0.066
  1. Jimenez H, Wang M, Zimmerman JW, Pennison MJ, Sharma S, Surratt T, Xu ZX, Brezovich I, Absher D, Myers RM, DeYoung B, Caudell DL, Chen D, Lo HW, Lin HK, Godwin DW, Olivier M, Ghanekar A, Chen K, Miller LD, Gong Y, Capstick M, D'Agostino RB, Munden R, Merle P, Barbault A, Blackstock AW, Bonkovsky HL, Yang GY, Jin G, Liu L, Zhang W, Watabe K, Blackman CF, Pasche BC. Tumour-specific amplitude-modulated radiofrequency electromagnetic fields induce differentiation of hepatocellular carcinoma via targeting Cav3.2?T-type voltage-gated calcium channels and Ca2+ influx. EBioMedicine. 2019 Jun; 44:209-224.
    View in: PubMed
    Score: 0.027
  2. Chu AY, Deng X, Fisher VA, Drong A, Zhang Y, Feitosa MF, Liu CT, Weeks O, Choh AC, Duan Q, Dyer TD, Eicher JD, Guo X, Heard-Costa NL, Kacprowski T, Kent JW, Lange LA, Liu X, Lohman K, Lu L, Mahajan A, O'Connell JR, Parihar A, Peralta JM, Smith AV, Zhang Y, Homuth G, Kissebah AH, Kullberg J, Laqua R, Launer LJ, Nauck M, Olivier M, Peyser PA, Terry JG, Wojczynski MK, Yao J, Bielak LF, Blangero J, Borecki IB, Bowden DW, Carr JJ, Czerwinski SA, Ding J, Friedrich N, Gudnason V, Harris TB, Ingelsson E, Johnson AD, Kardia SL, Langefeld CD, Lind L, Liu Y, Mitchell BD, Morris AP, Mosley TH, Rotter JI, Shuldiner AR, Towne B, Völzke H, Wallaschofski H, Wilson JG, Allison M, Lindgren CM, Goessling W, Cupples LA, Steinhauser ML, Fox CS. Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation. Nat Genet. 2017 01; 49(1):125-130.
    View in: PubMed
    Score: 0.023
  3. Wu CH, Chen S, Shortreed MR, Kreitinger GM, Yuan Y, Frey BL, Zhang Y, Mirza S, Cirillo LA, Olivier M, Smith LM. Sequence-specific capture of protein-DNA complexes for mass spectrometric protein identification. PLoS One. 2011; 6(10):e26217.
    View in: PubMed
    Score: 0.016
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.