Our dataset scores 21 journals whose titles identify them as bioinformatics or computational-biology venues. Briefings in Bioinformatics leads at 6.7, and the cohort median Journal Metrics Score is 2.2.
This page previously reported the bioinformatics journals that received a first Journal Impact Factor™ in the June 2026 JCR release. Journal Metrics no longer displays JCR data; all figures below are 2026 Journal Metrics Scores computed from OpenAlex (CC0) data and are not Journal Impact Factors.
See the full analysis of newly scored journals in 2026- Journals scored
- 21
- Mean score
- 2.84
- Median score
- 2.20
- Highest score
- 6.7
Statistics cover all 21 scored bioinformatics journals in the current dataset. The chart and table below list the top 15 by score.
Bioinformatics journals ranked by Journal Metrics Score
Values come from the current Journal Metrics dataset, computed from OpenAlex data. Hover or tap for each journal's score and best subfield quartile.
Leading bioinformatics journals by score
| Rank | Journal | 2026 Score | Quartile | OpenAlex subfields | Citations |
|---|---|---|---|---|---|
| 1 | BRIEFINGS IN BIOINFORMATICS | 6.7 | Q1 | Molecular Biology | 283,546 |
| 2 | BIOINFORMATICS | 6.0 | Q1 | Molecular Biology | 2,833,666 |
| 3 | GENOMICS PROTEOMICS & BIOINFORMATICS | 5.4 | Q1 | Molecular Biology | 60,230 |
| 4 | BMC BIOINFORMATICS | 4.6 | Q2 | Molecular Biology | 866,454 |
| 5 | PLoS Computational Biology | 4.1 | Q1 | Cognitive Neuroscience; Molecular Biology | 686,360 |
| 6 | NAR Genomics and Bioinformatics | 3.8 | Q2 | Molecular Biology | 16,763 |
| 7 | COMPUTATIONAL BIOLOGY AND CHEMISTRY | 2.9 | Q1 | Computational Theory and Mathematics; Molecular Biology | 47,543 |
| 8 | Bioinformatics and Biology Insights | 2.8 | Q1 | Molecular Biology; Computational Theory and Mathematics | 11,008 |
| 9 | Bioinformatics Advances | 2.4 | Q3 | Molecular Biology | 7,168 |
| 10 | Biomedical Engineering and Computational Biology | 2.3 | Q1 | Artificial Intelligence; Computational Theory and Mathematics; Cognitive Neuroscience; Radiology, Nuclear Medicine and Imaging | 1,196 |
| 11 | Frontiers in Bioinformatics | 2.2 | Q2 | Molecular Biology; Computational Theory and Mathematics | 6,426 |
| 12 | IEEE Transactions on Computational Biology and Bioinformatics | 2.2 | Q3 | Molecular Biology | 86,935 |
| 13 | IEEE-ACM Transactions on Computational Biology and Bioinformatics | 2.2 | Q3 | Molecular Biology | 86,935 |
| 14 | PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS | 2.1 | Q2 | Molecular Biology; Materials Chemistry; Computational Theory and Mathematics | 493,859 |
| 15 | Current Bioinformatics | 1.9 | Q2 | Molecular Biology; Computational Theory and Mathematics | 13,596 |
What the 2026 data shows
The cohort mean of 2.8 sits above the median of 2.2 because a handful of established review and methods titles score substantially higher than the rest.
Seven of the 21 journals rank Q1 in their best OpenAlex subfield, with 6 at Q2, 4 at Q3, and 4 at Q4.
How this cohort is defined
Bioinformatics is not a standalone OpenAlex subfield, so this cohort uses a title rule that also captures computational-biology journals.
The Journal Metrics Score is the two-year mean citedness of a journal, computed from OpenAlex (CC0) data: citations received in the most recent complete year to works published in the two prior years, divided by the number of those works. Quartiles rank journals within each OpenAlex subfield by score. Data source: OpenAlex (CC0).
Frequently asked questions
Which bioinformatics journal has the highest Journal Metrics Score in 2026?
Briefings in Bioinformatics leads the 21-journal cohort with a 2026 Journal Metrics Score of 6.7.
Why are computational biology journals included?
Bioinformatics is not a standalone OpenAlex subfield, so the cohort matches journal titles containing "bioinformatics" or "computational biology," which describe the same methods community.
Continue exploring
Written by Dr. Meng Zhao
Physician-Scientist · Founder, LabCat AI
MD · Former Neurosurgeon · Medical AI Researcher
Dr. Meng Zhao is a former neurosurgeon turned medical-AI researcher. After years in the operating room, he moved into applied AI for clinical workflows and now leads LabCat AI, a medical-AI company working on decision support and research tooling for clinicians. He built Journal Metrics as a free resource for researchers who need reliable journal metrics without paid database subscriptions.
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