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Cell Systems
基本信息
期刊名称 | Cell Systems CELL SYST |
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期刊ISSN | 2405-4712 |
期刊官方网站 | https://www.cell.com/cell-systems/home |
是否OA | No |
出版商 | Cell Press |
出版周期 | |
文章处理费 | 登录后查看 |
始发年份 | |
年文章数 | 73 |
影响因子 | 9.0(2023) scijournal影响因子 greensci影响因子 |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
---|---|---|---|
生物1区 | BIOCHEMISTRY & MOLECULAR BIOLOGY 生化与分子生物学2区 | 是 | 否 |
CELL BIOLOGY 细胞生物学2区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 16.5 | 4.872 | 1.746 |
Medicine Pathology and Forensic Medicine |
3/208 | 98% |
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Medicine Histology |
3/62 | 95% |
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Biochemistry, Genetics and Molecular Biology Cell Biology |
26/285 | 91% |
补充信息
自引率 | 2.2% |
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H-index | 30 |
SCI收录状况 | Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2405-4712%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/CELL-SYSTEMS |
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收稿范围 | Cell Systems was established in 2015 to provide a home at Cell Press for elegant work that addresses fundamental questions in systems biology. "Systems biology," as we broadly define it, is work that develops a rigorous understanding of any biological phenomenon where one plus one does not apparently equal two. Disciplines in the physical sciences have met this challenge for a long time, and we've found that our strongest papers tend to apply quantitative, inference-based approaches taken in physics, engineering, mathematics, and computer science to salient biological questions. We believe it's our responsibility to ensure that the next generation of scientists can begin their work on solid ground. Accordingly, we focus our review process on validity and scientific acuity, rather than more subjective feelings and opinions. We also believe that scientific transparency is of paramount importance. A study's structure and presentation should be candid and forthright (e.g. it should ensure fair comparisons; it should either use non-arbitrary cut-offs or clearly explained arbitrary cut-offs that do not affect outcomes; its data visualization choices should promote objective understanding; its limitations should not be obscured). Fundamentally good scientific practice also demands that studies be repeatable. We encourage authors to make their code and data FAIR—that is findable, accessible, interoperable, and reusable, as defined by the NIH data commons. Although it is too early to formally require that all studies we publish be FAIR, we consider that requirement annually. As editors, we hold ourselves to the same standards of transparency but also recognize that living up to those standards requires constant effort. Like all journals, Cell Systems is a work in progress. A collection of editorials that document our thoughts and their evolution can be found here. We are always happy to talk to you. |
收录体裁 | Research Report Brief Report Math | Bio Preview Review Perspective |
投稿指南 | https://www.cell.com/cell-systems/author-resources |
投稿模板 | |
参考文献格式 | https://www.cell.com/cell-systems/authors |
编辑信息 |
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