日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Abnormal Neuronal Excitability and Reduced Parvalbumin Expression in Shank3-Deficient Parvalbumin Neurons of the Thalamic Reticular Nucleus.

丘脑网状核 Shank3 缺陷型小白蛋白神经元中神经元兴奋性异常和小白蛋白表达降低。

Lai Yubo, Lü Lulu, Sun Runfeng, Lai Junhui, Wang Yang, Chen Silin, Li Shan, Liu Qinglian, Zhou Lei

Prognostic Stratification and Subtyping of Glioblastoma Using Transient Receptor Potential Channels

利用瞬时受体电位通道对胶质母细胞瘤进行预后分层和亚型分类

Sun, Runfeng; Zhu, Long; Lu, Zhichao; Wang, Ziheng; Feng, Suyin; Zhao, Jingwei

Imaging electrochemically regulated water-air nanointerfaces with single-molecule fluorescence

利用单分子荧光成像技术对电化学调控的水-空气纳米界面进行成像

Li, Guopeng; Wen, Lisi; Sun, Runfeng; Hao, Rui

Exploration of M2 macrophage-related biomarkers and a candidate drug for glioblastoma using high-dimensional weighted gene co-expression network analysis

利用高维加权基因共表达网络分析探索M2巨噬细胞相关生物标志物和胶质母细胞瘤候选药物

Feng, Suyin; Zhu, Long; Gu, Jinyuan; Kou, Kun; Liu, Yongtai; Zhang, Guangmin; Lu, Hua; Zhang, Honglai; Sun, Runfeng

Automated OSAHS detection from ECG using temporal convolutional network

基于时间卷积网络的心电图自动检测阻塞性睡眠呼吸暂停低通气综合征

Cheng, Lei; Bai, Juan; Liu, Aizhu; Feng, Suyin; Sun, Runfeng

Predictive value of the serum homocysteine-to-albumin ratio for major adverse cardiovascular events after acute myocardial infarction: a retrospective cohort study

血清同型半胱氨酸/白蛋白比值对急性心肌梗死后主要不良心血管事件的预测价值:一项回顾性队列研究

Wang, Jiaping; Zhou, Jianling; Wang, Na; Fu, Meili; Song, Ziwen; Hu, Ming; Wu, Huiyi; Sun, Runfeng

Spatial layout characteristics of Northern Wei Luoyang: A spatial humanities analysis of the "Record of the Monasteries of Luoyang"

北魏洛阳的空间布局特征:基于《洛阳寺院志》的空间人文分析

Sun, Runfeng; Liu, Wenjia

Monocyte to HDL cholesterol ratio predicts obesity-associated cardiac dysfunction

单核细胞与高密度脂蛋白胆固醇比值可预测肥胖相关的心脏功能障碍

Zhao, Chunsheng; Liu, Jinting; Zhao, Jiaqi; Wang, Chao; Bai, Hui; Yang, Qing; Ben, Jingjing; Zhu, Xudong; Li, Xiaoyu; Jiang, Bin; Li, Kai; Sun, Runfeng; Ma, Xuexing; Wang, Liansheng; Zhang, Hanwen; Chen, Qi

Machine learning model reveals the role of angiogenesis and EMT genes in glioma patient prognosis and immunotherapy

机器学习模型揭示了血管生成和EMT基因在胶质瘤患者预后和免疫治疗中的作用

Feng, Suyin; Zhu, Long; Qin, Yan; Kou, Kun; Liu, Yongtai; Zhang, Guangmin; Wang, Ziheng; Lu, Hua; Sun, Runfeng