BMC BIOINFORMATICS
| 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 |
| 数学与计算生物学 Mathematical & Computational Biology | SCIE | Q1 | 9/67 |
86.6%
|
| 生化研究方法 Biochemical Research Methods | SCIE | Q1 | 18/85 |
78.8%
|
| 生物技术与应用微生物学 Biotechnology & Applied Microbiology | SCIE | Q2 | 59/180 |
67.2%
|
| 学科 | 收录集 | JCI 分区 | JCI 排名 | JCI 百分位 |
|---|---|---|---|---|
| 数学与计算生物学 Mathematical & Computational Biology | SCIE | Q2 | 20/52 JCI 0.75 |
63.5%
|
| 生化研究方法 Biochemical Research Methods | SCIE | Q2 | 30/72 JCI 0.75 |
59.7%
|
| 生物技术与应用微生物学 Biotechnology & Applied Microbiology | SCIE | Q2 | 60/155 JCI 0.75 |
61.9%
|
BMC Bioinformatics is a leading open-access, peer-reviewed journal dedicated to the advancement of computational biology and the analysis of biological data. Published by BioMed Central (part of Springer Nature), the journal serves as a premier venue for disseminating innovative methods, software, and databases that drive biological discovery. Its scope encompasses the full spectrum of bioinformatics, including but not limited to genome and sequence analysis, structural biology, systems biology, network modeling, machine learning applications in biology, metagenomics, transcriptomics, and the development of novel algorithms for high-throughput data interpretation. The journal primarily publishes Research Articles, which present original methodological developments or significant biological insights derived from computational analysis. It also features Software Articles, Database Articles, and Methodology Articles, alongside Review Articles that synthesize key advances in specific subfields. The target audience is broad, comprising computational biologists, bioinformaticians, molecular biologists, geneticists, and statisticians working at the interface of computation and life sciences. A defining feature of BMC Bioinformatics is its fully open-access model, ensuring that all published content is freely and permanently available online, maximizing visibility and impact for authors. The journal also enforces a rigorous peer-review process focused on technical soundness and reproducibility. With an Impact Factor of 4.400 (2026) and a JCR Quartile ranking of Q1, BMC Bioinformatics is widely recognized as a high-impact, authoritative source within the top tier of its field, consistently reflecting the forefront of computational methods in biology.