npj Systems Biology and Applications

SJR Rank #3,128H-index: 43SJR: 1.309Best quartile: Q1Open AccessAPC: US$3,490Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

Nature Publishing Group

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.350.71.051.4

Subject Categories

  • Applied MathematicsQ1
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)Q1
  • Computer Science ApplicationsQ1
  • Drug DiscoveryQ1
  • Modeling and SimulationQ1

Areas: Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Pharmacology, Toxicology and Pharmaceutics

Most published research topics

Gene Regulatory Network AnalysisBioinformatics and Genomic NetworksMicrobial Metabolic Engineering and BioproductionSingle-cell and spatial transcriptomicsComputational Drug Discovery MethodsMathematical Biology Tumor GrowthCell Image Analysis TechniquesGene expression and cancer classificationMetabolomics and Mass Spectrometry StudiesCancer Cells and Metastasis

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs065130195260

Documents per Year

2022202503570105140

Detailed Information

ISSN

2056-7189

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

4.46

References per Document

65.32

Coverage

2015-2026

Scope

npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.

Metrics from SCImago Journal Rank 2025. View on SCImago