Computational and Structural Biotechnology Journal
Q1 Journal
Open Access
Journal
Country
Sweden
Western Europe
Subject Area and Category
Biochemistry, Genetics and Molecular Biology
└
Biochemistry
Q1
└
Biophysics
Q1
└
Biotechnology
Q1
Publisher
SJR 2025
1.312
Q1
SJR Score
H-Index
107
Citations / Doc (2yr)
5.07
Total Docs. (latest)
564
Total Citations (3yr)
8,385
Publication type
Journals
ISSN
20010370
Coverage
2012-2026
Journal Rank
#3,113
Subject Categories
Biochemistry
Q1
Biophysics
Q1
Biotechnology
Q1
Computer Science Applications
Q1
Genetics
Q1
Structural Biology
Q1
Subject Areas
Aims & Scope
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review.
All articles are published, without barriers to access, immediately upon acceptance.
The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods.
Structural data may provide such insights, but they are not a pre-requisite for publication in the journal.
Specific areas of interest include, but are not limited to:
Structure and function of proteins, nucleic acids and other macromolecules
Structure and function of multi-component complexes
Protein folding, processing and degradation
Enzymology
Computational and structural studies of plant systems
Microbial Informatics
Genomics
Proteomics
Metabolomics
Algorithms and Hypothesis in Bioinformatics
Mathematical and Theoretical Biology
Computational Chemistry and Drug Discovery
Microscopy and Molecular Imaging
Nanotechnology
Systems and Synthetic Biology
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Web of Science
Embase
Detailed Metrics
| Total Docs. (latest) | 564 |
| Total Docs. (3 years) | 1,566 |
| Total Refs. | 36,282 |
| Total Citations (3 years) | 8,385 |
| Citable Docs. (3 years) | 1,552 |
| Citations / Doc. (2 years) | 5.07 |
| Ref. / Doc. | 64.33 |
| % Female | 38.5% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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