GIGASCIENCE
| 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%
|
| 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%
|
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.