JCR 影响因子(Impact factor), 5年期影响因子, 即年指数(Immediacy Index), 论文数量, 半衰期, 特征因子(Eigenfactor), 论文影响分值 [科研必备] 专业SCI论文修改服务: ★先修改后付款;☆语言问题免费重修;★24-72小时交稿; ☆正规财务发票;★一分钟下单;☆365日不间断服务 期刊全名 journal of cell science ...
本刊收录在Web of Science： SCIE(2013版)点击: 查看SCI影响因子(2009)提示: Impact Factor:5.083; 5-Year Impact Factor:3.946 点击: 查看SCI影响因子(2010)提示: Impact Factor: 6.774 ; Rank: 279 主题分类：Life Sciences: Biology Life Sciences: Cytology, Cell Biology 被继承: Stem Cel...
JCR 影响因子(Impact factor), 5年期影响因子, 即年指数(Immediacy Index), 论文数量, 半衰期, 特征因子(Eigenfactor), 论文影响分值 [科研必备] 专业SCI论文修改服务: ★先修改后付款;☆语言问题免费重修;★24-72小时交稿; ☆正规财务发票;★一分钟下单;☆365日不间断服务 期刊全名 journal of cell biology ...
本刊收录在Web of Science: SCIE(2013版)点击: 查看SCI影响因子(2009)提示: Impact Factor:5.083; 5-Year Impact Factor:3.946点击: 查看SCI影响因子(2010)提示: Impact Factor: 6.774 ; Rank: 279主题分类:Life Sciences: BiologyLife Sciences: Cytology, Cell Biology被继承: Stem Cell Reviews and Reports00...
汤森路透每年出版一本《期刊引用报告》(Journal Citation Reports,简称JCR)。JCR对86000多种SCI期刊的影响因子(Impact Factor)等指数加以统计。JCR将收录期刊分为176个不同学科类别在JCR的Journal Ranking中,主要参考当年IF,最终每个分区的期刊数量是均分的。
摘要:非小细胞肺癌(Non-small cell lung cancer, NSCLC)是全球范围内发病率和死亡率较高的癌症之一,其特征是预后较差,晚期诊断时往往失去手术机会。探索NSCLC的新治疗靶点和深入理解其发病机制对于改善患者预后至关重要。 Impact factor: 6.4(2024) Published online:2024-7-10 ...
摘要:非小细胞肺癌(Non-small cell lung cancer, NSCLC)是全球范围内发病率和死亡率较高的癌症之一,其特征是预后较差,晚期诊断时往往失去手术机会。探索NSCLC的新治疗靶点和深入理解其发病机制对于改善患者预后至关重要。 Impact factor: 6.4(2024) Published online:2024-7-10 ...
The kinase inhibitor sorafenib induces cell death through a process involving induction of endoplasmic reticulum stress Mol Cell Biol, 27 (2007), pp. 5499-5513 View in ScopusGoogle Scholar [22] C.Y. Liu, R.J. Kaufman The unfolded protein response J Cell Sci, 116 (2003), pp. 1861-1862 ...
Supports open access 7.5CiteScore 4.1Impact Factor Articles & Issues About Publish Order journalSubmit your articleGuide for authors Special issue A Special Issue in Honour of J B Joshi Last update 7 August 2022 Guest Editors: Krishna Nigam Geoffrey Michael Evans Niels Deen ...
Cell type-specific: https://github.com/uci-cbcl/FactorNet Predict TF binding from ATAC-Seq using deep neural network: https://github.com/hiranumn/deepatac CentiSNPs: http://genome.grid.wayne.edu/centisnps/ Benchmark: https://github.com/Oncostat/BenchmarkNCVTools PathoPredictor: https://...