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Connection

Amiya Sinha-Hikim to Disease Models, Animal

This is a "connection" page, showing publications Amiya Sinha-Hikim has written about Disease Models, Animal.
Connection Strength

0.230
  1. Hasan KM, Friedman TC, Shao X, Parveen M, Sims C, Lee DL, Espinoza-Derout J, Sinha-Hikim I, Sinha-Hikim AP. E-cigarettes and Western Diet: Important Metabolic Risk Factors for Hepatic Diseases. Hepatology. 2019 06; 69(6):2442-2454.
    View in: PubMed
    Score: 0.115
  2. Shao XM, Lopez B, Nathan D, Wilson J, Bankole E, Tumoyan H, Munoz A, Espinoza-Derout J, Hasan KM, Chang S, Du C, Sinha-Hikim AP, Lutfy K, Friedman TC. A mouse model for chronic intermittent electronic cigarette exposure exhibits nicotine pharmacokinetics resembling human vapers. J Neurosci Methods. 2019 10 01; 326:108376.
    View in: PubMed
    Score: 0.029
  3. Espinoza-Derout J, Hasan KM, Shao XM, Jordan MC, Sims C, Lee DL, Sinha S, Simmons Z, Mtume N, Liu Y, Roos KP, Sinha-Hikim AP, Friedman TC. Chronic intermittent electronic cigarette exposure induces cardiac dysfunction and atherosclerosis in apolipoprotein-E knockout mice. Am J Physiol Heart Circ Physiol. 2019 08 01; 317(2):H445-H459.
    View in: PubMed
    Score: 0.029
  4. Sinha I, Sinha-Hikim AP, Wagers AJ, Sinha-Hikim I. Testosterone is essential for skeletal muscle growth in aged mice in a heterochronic parabiosis model. Cell Tissue Res. 2014 Sep; 357(3):815-21.
    View in: PubMed
    Score: 0.021
  5. Sinha-Hikim I, Sinha-Hikim AP, Parveen M, Shen R, Goswami R, Tran P, Crum A, Norris KC. Long-term supplementation with a cystine-based antioxidant delays loss of muscle mass in aging. J Gerontol A Biol Sci Med Sci. 2013 Jul; 68(7):749-59.
    View in: PubMed
    Score: 0.019
  6. Sinha-Hikim I, Sinha-Hikim AP, Shen R, Kim HJ, Kim H, French SW, Vaziri ND, Vaziri ND, Crum AC, Crum A, Rajavashisth TB, Norris KC. A novel cystine based antioxidant attenuates oxidative stress and hepatic steatosis in diet-induced obese mice. Exp Mol Pathol. 2011 Aug; 91(1):419-28.
    View in: PubMed
    Score: 0.017
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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