Xun Liu

Icahn School of Medicine at Mount Sinai, New York, NY, United States 
"Xun Liu"
Mean distance: 15.11 (cluster 15)


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Robert A. Bjork grad student 2000 UCLA
 (On the dynamics of directed forgetting: Facilitation and interference in the updating of human memory.)
Marie T. Banich post-doc CU Boulder
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Wang Y, Jing B, Wang F, et al. (2020) Mechanism Insight into enhanced photodegradation of pharmaceuticals and personal care products in natural water matrix over crystalline graphitic carbon nitrides. Water Research. 180: 115925
Liu Z, Zhao W, Ren Y, et al. (2020) Comprehensive analysis of the long non-coding RNA-associated competitive endogenous RNA network reveals novel prognostic biomarkers in Wilms' tumor. Oncology Letters. 19: 3731-3742
Li M, Wang Y, Liu Z, et al. (2020) Females with Type 2 Diabetes Mellitus Are Prone to Diabetic Retinopathy: A Twelve-Province Cross-Sectional Study in China. Journal of Diabetes Research. 2020: 5814296
Shi F, He Y, Wang S, et al. (2020) Endovascular and open surgical repair of abdominal aortic aneurysms: A comparative analysis of western and Chinese studies. Reviews in Cardiovascular Medicine. 21: 75-92
Li X, Liu X, Nong X, et al. (2020) Peanut early flowering stage is beneficial to survival and control of white grub larvae. 3 Biotech. 10: 188
Li M, Ye ZC, Li CM, et al. (2020) The influence of cardiac valvular calcification on all-cause and cardiovascular mortality in maintenance hemodialysis patients. International Urology and Nephrology
Li M, Ye ZC, Li CM, et al. (2020) Low serum uric acid levels increase the risk of all-cause death and cardiovascular death in hemodialysis patients. Renal Failure. 42: 315-322
Wang X, Zhu M, Zeng G, et al. (2020) A three-dimensional Cu nanobelt cathode for highly efficient electrocatalytic nitrate reduction. Nanoscale
Fu D, Weber C, Yang G, et al. (2020) What Can Computational Models Learn From Human Selective Attention? A Review From an Audiovisual Unimodal and Crossmodal Perspective. Frontiers in Integrative Neuroscience. 14: 10
Li N, Huang H, Qian HZ, et al. (2020) Improving accuracy of estimating glomerular filtration rate using artificial neural network: model development and validation. Journal of Translational Medicine. 18: 120
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