Cancer Informatics
Libertas Academica Ltd.
New Zealand
journal
SJR by Edition
Subject Categories
- OncologyQ3
- Cancer ResearchQ4
Areas: Biochemistry, Genetics and Molecular Biology · Medicine
Most published research topics
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
1176-9351
SJR Best Quartile
Q3
Region
Pacific Region
Citations per Document (2 years)
2.42
References per Document
67.52
Coverage
2005-2026
Scope
The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
Metrics from SCImago Journal Rank 2025. View on SCImago