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GigaScience

GIGASCIENCE

ISSN 2047-217X
SCIE Q1 新锐3区 传统2区 开放获取 生物学
影响因子 2026
5
↑ 1.1
5年均分
9.4
5-Year IF
H 指数
32
H-Index
年发文量
165
Articles / Year
出刊频率
Continuously Published
Pub. Frequency
创刊年份
2012
Founded Year
出版商
Oxford Univ Press
Publisher
出版国家
UK
Country
投稿参考 & 用户评分
🏆 期刊声誉
暂无
综合口碑评分,点击星星参与
审稿速度
系统
暂无
6.7 个月
💰 版面费用
系统
暂无
官方APC $2,439 USD 约¥17,683
中科院分区
2026新锐分区 新体系
大类3区
生物学Biology
小类3区
综合性期刊Multidisciplinary
中科院2025年分区 传统体系
大类2区
生物学Biology
小类2区
综合性期刊Multidisciplinary
WoS 期刊 JCR 分区 (2026 · JIF) 综合 SCIE Q1
学科 收录集 JIF 分区 JIF 排名 JIF 百分位
综合性学科 Multidisciplinary Sciences SCIE Q1 20/140
85.7%
按 JCI 指标学科分区
学科 收录集 JCI 分区 JCI 排名 JCI 百分位
综合性学科 Multidisciplinary Sciences SCIE Q1 11/103 JCI 2.17
90.3%
Scopus 指标
CiteScore
6.8
综合引用得分
SJR
1.387 Q1
SCImago Journal Rank
SNIP
1.228
Source Normalized Impact
JCI
2.17
Journal Citation Indicator
数据来源:Scopus (CiteScore · SJR · SNIP) · Clarivate (JCI)。指标年份:2026年6月最新版。
期刊简介

GigaScience is a leading open-access, open-data journal published by Oxford University Press that occupies a unique and prominent position at the intersection of big-data biology and computer science. With an Impact Factor of 5.000 and placement in the JCR Q1 quartile, the journal is recognized for its rigorous standards and high-impact contributions to data-intensive research. Its scope encompasses the entire lifecycle of large-scale biomedical and life science studies, focusing on the generation, management, analysis, and dissemination of massive datasets, including genomics, proteomics, imaging, and other high-throughput fields. The journal publishes a diverse range of article types, including Research articles, Technical Notes, Reviews, Commentaries, and its distinctive Data Note format, which provides a citable, peer-reviewed description of a valuable dataset and its reuse potential. GigaScience is particularly notable for its commitment to reproducibility and data transparency: it requires authors to submit all supporting data, software, and workflows to its companion database, GigaDB, ensuring that published results can be verified and extended. The primary target audience includes computational biologists, bioinformaticians, data scientists, and experimental researchers working with large or complex datasets. By mandating open data and promoting standards for data citation, GigaScience has established itself as an essential platform for advancing research that relies on the integration of high-volume data with computational analysis, solidifying its standing as a top-tier journal within the Q1 category of multidisciplinary sciences.

历年影响因子 & 年发文量

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