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Shan Zhao, Ph.D.

Affiliations: 
2013 Pharmacology and System Biology Icahn School of Medicine at Mount Sinai, New York, NY, United States 
Area:
Cellular signaling systems
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"Shan Zhao"
Mean distance: 16.4 (cluster 6)
 
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Ravi Iyengar grad student 2013 Mount Sinai School of Medicine
 (Big Data in Systems Medicine and Systems Pharmacology: From Correlations to Clinical Predictions.)

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Publications

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Paranjpe I, Jayaraman P, Su CY, et al. (2023) Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection. Communications Medicine. 3: 81
Nadkarni G, Paranjpe I, Jayaraman P, et al. (2023) Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection. Research Square
Paranjpe I, Jayaraman P, Su CY, et al. (2022) Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection. Medrxiv : the Preprint Server For Health Sciences
Tavassoly I, Hu Y, Zhao S, et al. (2019) Genomic signatures defining responsiveness to allopurinol and combination therapy for lung cancer identified by systems therapeutics analyses. Molecular Oncology
Qiao W, Chu H, Zhao S, et al. (2016) Passive mode-locking characteristics from the Nd:Gd0.19Y0.81VO4 laser at 1.34 μm Optics and Laser Technology. 82: 101-103
Liu C, Zhao S, Li Y, et al. (2016) Stable kilo-hertz electro-optically Q-switched Tm,Ho:YAP laser at room temperature Optics and Laser Technology. 81: 189-193
Li S, Li T, Zhao S, et al. (2016) 1.31 and 1.32 μm dual-wavelength Nd:LuLiF4 laser Optics and Laser Technology. 81: 14-17
Ablikim M, Achasov MN, Ai XC, et al. (2015) Observation of a Neutral Structure near the DD[over ¯]^{*} Mass Threshold in e^{+}e^{-}→(DD[over ¯]^{*})^{0}π^{0} at sqrt[s]=4.226 and 4.257 GeV. Physical Review Letters. 115: 222002
Ablikim M, Achasov MN, Ai XC, et al. (2015) Measurement of the Absolute Branching Fraction for Λ_{c}^{+}→Λe^{+}ν_{e}. Physical Review Letters. 115: 221805
Li GF, Gu X, Yu G, et al. (2015) Comment on: "A Physiologically Based Pharmacokinetic Drug-Disease Model to Predict Carvedilol Exposure in Adult and Paediatric Heart Failure Patients by Incorporating Pathophysiological Changes in Hepatic and Renal Blood". Clinical Pharmacokinetics
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