Current Bioinformatics

Aims & Scope

Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics.

Each issue contains a series of timely, in-depth/mini-reviews, research papers and guest edited thematic issues written by leaders in the field, covering a wide range of the integration of biology with computer and information science.

The journal focuses on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering.

Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.

Current Bioinformatics is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in bioinformatics.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.9
2024	2.40

Journal Rank

Year	Value
2024	14126

Journal Citation Indicator

Year	Value
2024	593

SJR (SCImago Journal Rank)

Year	Value
2024	0.387

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	40

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Review of Ensemble Methods in Bioinformatics

  Citation: 414

  Authors: Pengyi, Yee, Bing, Albert

• Distance-based Support Vector Machine to Predict DNA N6- methyladenine Modification

  Citation: 303

  Authors: Haoyu, Quan, Ying, Chenggang, Dong

• Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis

  Citation: 275

  Authors: Masahiro, Masato, Martin, Tomoyoshi, Masaru

• Relevance of Molecular Docking Studies in Drug Designing

  Citation: 149

  Authors: Ritu, Mehak, Alka, Anil Kumar

• A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization

  Citation: 124

  Authors: Wuritu, Xiao-Juan, Jian, Hui, Hao

• Gene Set Enrichment Analysis (GSEA) for Interpreting Gene Expression Profiles

  Citation: 123

  Authors: Jing, Michael

• Cancer Diagnosis Through IsomiR Expression with Machine Learning Method

  Citation: 120

  Authors: Zhijun, Dapeng, Xinrui, Lisheng, Quan

• A Review on the Recent Developments of Sequence-based Protein Feature Extraction Methods

  Citation: 115

  Authors: Jun, Bin

• Molecular Genetic Markers: Discovery, Applications, Data Storage and Visualisation

  Citation: 107

  Authors: Chris, Nikki, David, Jacqueline

• The Advances and Challenges of Deep Learning Application in Biological Big Data Processing

  Citation: 104

  Authors: Li, Manman, Bo, Guohua, Weibiao, Dingfeng

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