杨文松
研究方向
重庆医科大学附属第一医院神经内科医师，围绕脑血管疾病，聚焦脑卒中神经影像和功能预后，开展了一系列研究。共发表42篇科研论文，其中SCI论文36篇。以第一作者（含共同）发表SCI论文11篇，CSCD期刊收录1篇。主持国家博士后面上资助、重庆市自然科学基金面上项目、重庆市科卫联合青年项目各1项。获得重庆市科技进步奖二等奖。任重庆卒中学会神经重症分会委员、重庆卒中学会脑出血专委会委员。作为课题组骨干参与国家重点研发项目、国家自然科学基金面上项目、重庆市科卫联合医学科研项目、重庆市杰出青年科学基金项目、“成渝地区双城经济圈建设”科技创新项目。1项成果被F1000推荐为临床医学必读论文。1项成果被中国科学技术信息研究所评为中国精品科技期刊顶尖学术论文（F5000）。多项成果并被写入2项中国指南、1项美国指南（2022版）和1项国际标准，获得国家专利（专利号: ZL 202110689924.7）1项。Transl Stroke Res、J Neurochem、Molecular Neurobiology、BMC Neurol（IF=2.6）等杂志审稿人。
代表性论文
1. Yang WS, Zhang SQ, Shen YQ, Wei X, Zhao LB, Xie XF, Deng L, Li XH, Lv XN, Lv FJ, Dowlatshahi D, Li Q*, Xie P*. Noncontrast Computed Tomography Makers as Predictors of Revised Hematoma Expansion in Acute Intracerebral Hemorrhage. J Am Heart Assoc. 2021 Feb 2;10(3):e018248.
2. Shen YQ#, Yang WS#, Xiong X, Li XH, Xiao ZS, Yu JL, Liu FY, Gui SW, Xie XF, Lv FJ, Zhao LB, Hu LB, Manaenko A,Xie P*, Li Q*. Integrated Multi-Omics Analysis Identifies a Novel Biomarker Associated With Prognosis in Intracerebral Hemorrhage. Oxid Med Cell Longev. 2021. Dec 14.
3. Yang WS, Shen YQ, Wei X, Zhao LB, Liu QJ, Xie XF, Zhang ZW, Deng L, Lv XN, Zhang SQ, Li XH, Li Q*, Xie P*. New Prediction Models of Functional Outcome in Acute Intracerebral Hemorrhage: The dICH Score and uICH Score [J]. Front Neurol. 2021 May 5;12:655800.
4. Yang WS, Shen YQ, Zhang XD, Zhao LB, Wei X, Xiong X, Xie XF, Li R, Deng L, Li XH, Lv XN, Lv FJ, Li Q*, Xie P*. Hydrocephalus Growth: Definition, Prevalence, Association with Poor Outcome in Acute Intracerebral Hemorrhage. Neurocrit Care. 2021 Aug;35(1):62-71.
5. Yang WS, Shen YQ, Yang X, Li XH, Xu SH, Zhao LB, Li R, Xiong X, Bai SJ, Wu QY, Manaenko A, Li Q*, Xie P*. MicroRNA transcriptomics analysis identifies dysregulated hedgehog signaling pathway in a mouse model of acute intracerebral hemorrhage exposed to hyperglycemia. J Stroke Cerebrovasc Dis. 2022 Jan 10;31(3):106281.
6. Yang WS, Liu JY, Shen YQ, Xie XF, Zhang SQ, Liu FY, Yu JL, Ma YB, Xiao ZS, Duan HW, Li Q, Chen SX, Xie P. Quantitative Imaging for Predicting Hematoma Expansion in Intracerebral Hemorrhage: A Multimodel Comparison. J Stroke Cerebrovasc Dis. 2024 Apr 22:107731.
7. Yang WS, Li Q, Li R, Liu QJ, Wang XC, Zhao LB, Xie P. Defining the Optimal Midline Shift Threshold to Predict Poor Outcome in Patients with Supratentorial Spontaneous Intracerebral Hemorrhage. Neurocrit Care. 2018 Jun;28(3):314-321.
8. Yang WS, Li R, Shen YQ, Wang XC, Liu QJ, Wang HY, Li Q, Yao GE, Xie P*. Importance of lipid ratios for predicting intracranial atherosclerotic stenosis. Lipids Health Dis. 2020 Jul 4;19(1):160. Li Q#, Yang WS#, Wang XC#, Cao D, Zhu D, Lv FJ, Liu Y, Yuan L, Zhang G, Xiong X, Li R, Hu YX, Qin XY, Xie P*. Blend sign predicts poor outcome in patients with intracerebral hemorrhage. PLoS One. 2017, 12(8): e0183082.
9. Luo S#, Yang WS#, Shen YQ, Chen P, Zhang SQ, Jia Z, Li Q, Zhao JT, Xie P. The clinical value of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and D-dimer-to-fibrinogen ratio for predicting pneumonia and poor outcomes in patients with acute intracerebral hemorrhage. Front Immunol. 2022 Oct 10;13:1037255.
10. Li XH#, Yang WS#, Shen YQ, et al. Analysis of Age-Dependent Transcriptomic Changes in Response to Intracerebral Hemorrhage in Mice. Front Mol Neurosci. 2022 May 23;15:908683.
