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Cell Systems
基本信息
期刊名称 Cell Systems
CELL SYST
期刊ISSN 2405-4712
期刊官方网站 https://www.cell.com/cell-systems/home
是否OA
出版商 Cell Press
出版周期
始发年份
年文章数 113
最新影响因子 9.3(2022)  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
CELL BIOLOGY 细胞生物学2区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 5.53 6.370 2.035
Medicine
Histology
3 / 58 95%
Medicine
Pathology and Forensic Medicine
8 / 184 95%
Biochemistry, Genetics and Molecular Biology
Cell Biology
33 / 265 87%
补充信息
自引率 2.60%
H-index 13
SCI收录状况 Science Citation Index Expanded
官方审稿时间
网友分享审稿时间 数据统计中,敬请期待。
PubMed Central (PML) 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/default.aspx
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 classic approaches taken in physics, engineering, mathematics, and computer science to salient biological questions. Manuscripts describing discoveries, milestone achievements, broadly useful tools or resources, or insights into the use of technology may all be appropriate. Cross-disciplinary studies that reveal general principles of systems are particularly welcome.

 

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.


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Math | Bio
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Perspective
投稿指南 https://www.cell.com/cell-systems/authors
投稿模板
参考文献格式 https://www.cell.com/cell-systems/authors
编辑信息

Ruedi Aebersold, ETH Zürich

Erez Lieberman Aiden, Baylor

John Albeck, UC Davis

Uri Alon, Weizmann Institute

Brenda Andrews, University of Toronto

Bonnie Berger, MIT

详见:https://www.cell.com/cell-systems/editorial-board

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