JCT - Faculty Research Profile - 2017-2021

127 Dr. Heifetz Eliyahu M. Telephone: 02-6751060 Cell phone: 0525911216 Email: heifetz@g.jct.ac.il Google Scholar: https://scholar.google.com/citations?authuser=1&user=A9VsH_gAAAAJ Bio-Medical data analysis. Peer-Reviewed Papers in Refereed Journals 1. Heifetz E.M., Rozenboim I., Soller M., and Eitan Y. 2018. Hormonal levels of Estradiol, Testosterone and Progesterone at entry into lay of year 1980 vs year 2000 broiler breeder females under fast and slow release from feed restriction. Poultry Science. 97: 3728-3735. [IF = 1.908; Q1, SJR=1.11] 2. Katafigiotis I., Sabler I.M., Heifetz E.M., Rosenfeld A., Stavros S., Amitay A., Latke A., Yutkin V., Hidas G., Landau E.H., Pode D., Gofrit O.N. and Duvdevani M. 2018. “Stoneless” or Negative Ureteroscopy: A Reality in the Endourologic Routine or Avoidable Source of Frustration? Estimating the Risk Factors for a Negative Ureteroscopy. Journal of Endourology. 32: 825-830. [IF = 2.038; Q1, SJR=1.09] 3. Birk R.Z. and Heifetz E.M. 2019. Variations in Biochemical Values for Common Laboratory Tests: A Comparison Among Multi-ethnic Women Cohort. Irish Journal of Medical Science (1971-), 188: 249-258. [IF=1.224; Q3, SJR=0.35] 4. Katafigiotis I. Sabler IM, Heifetz EM., Isid A., Sfoungaristos S., Lorber A., Yutkin V., Hidas G., Latke A., Landau EH., Pode D., Gofrit ON., Duvdevani M. 2018. Factors Predicting Operating Room Time in Ureteroscopy and Ureterorenoscopy. Current Urology. 12: 195-200. [IF=; Q3, SJR=0.41] 5. Mekayten, M., A. Lorber, I. katafigiotis, S. Sfoungaristos, I. Leotsakos, E. M. Heifetz, V. Yutkin, O. N. Gofrit, and M. Duvdevani. 2019. Will stone density stop being a key factor in endourology? The impact of stone density on laser time using Lumenis laser p120w and standard 20w laser – a comparative study. Journal of Endourology. 33: 585-589. [IF=2.038; Cited 6 times; Q1, SJR=1.09] 6. Rosenfeld, A., Graham, D. G., Jevons, S., Ariza, J., Hagan, D., Wilson, A., E. M. Heifetz …Cave, S. 2020. Development and validation of a risk prediction model to diagnose Barrett’s oesophagus (MARK-BE): a case-control machine learning approach. The Lancet Digital Health. 2: e37-e48. https://doi.org/10.1016/S2589-7500(19)30216-X [IF=24.519; Q1, SJR=2.35] 7. Bai, H., He, Y., Ding, Y. E. M. Heifetz et al. 2020. Genome-wide characterization of copy number variations in the host genome in genetic Resistance to Marek’s disease using next generation sequencing. BMC Genetics. 21, 77. [IF=2.360; Cited 1 times; Q2, SJR=1.16] Peer-Reviewed Papers in Refereed Conference Proceedings 1. Mekayten M., Lorber A., Katafigiotis I., Leotsakos I., Sfouggaristos S., Heifetz E.M., Abu Sbeih B., Yutkin V., Latke A., Gofrit O.N., Duvdevani M.D. 2019. High power laser machines – a game changer in the field of endourology. The impact of stone density on laser time using Lumenis laser p120 compared to standard 20w

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