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Bioinformatics Journal | 2024 Impact Factor: 5.4 | Cite Score:9.6 | Q1

Bioinformatics Journal - Oxford University Press - Impact Factor

Impact Factor and Journal Rank of Bioinformatics

  • About: Bioinformatics is a peer-reviewed journal that publishes original research articles, reviews, and methodology papers in the field of bioinformatics. It provides a platform for researchers to disseminate their findings related to computational methods, algorithms, and software tools for analyzing biological data.
  • Objective: The primary objective of Bioinformatics is to advance the field of computational biology by publishing high-quality research that contributes to the development and application of bioinformatics methodologies. The journal aims to facilitate collaboration among researchers from diverse disciplines and promote the use of computational approaches to address biological questions.
  • Interdisciplinary Focus: Bioinformatics is inherently interdisciplinary, welcoming contributions from a variety of fields including but not limited to, Computational Biology, Genomics, Proteomics, Transcriptomics, Systems Biology, Biostatistics, Computer Science, Machine Learning and Data Science. This interdisciplinary approach encourages the integration of computational and biological methodologies, fostering innovative solutions to complex biological problems.
  • Global Reach and Impact: The journal has a broad international readership and author base, reflecting its global reach and impact. By publishing research from around the world, Bioinformatics contributes to the global exchange of knowledge and advances in computational biology. The journal content influences both academic research and practical applications in biological and biomedical sciences.
  • High Standards and Rigorous Review: Bioinformatics maintains high academic standards through a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the validity, novelty, and significance of the research. This rigorous review process ensures that only high-quality and impactful research is published, maintaining the integrity and reputation of the journal.
  • Significance: The significance of Bioinformatics lies in its role as a leading publication in the field of computational biology. The journal contributions help shape the future of bioinformatics by disseminating innovative research and methodologies. Bioinformatics serves as an essential resource for researchers, students, and professionals working in computational biology, providing insights and tools that advance our understanding of biological systems.

  • Editor-in-Chief:  Janet Kelso

  • Scope: The Bioinformatics journal, published by Oxford University Press, is a renowned peer-reviewed publication that covers a broad spectrum of topics in the field of bioinformatics and computational biology.
  • Here is an overview of its key focus areas and scope:
  • Algorithm Development: Research papers focusing on the development of novel algorithms, methods, and computational techniques for analyzing biological data. This includes algorithms for sequence analysis, structural bioinformatics, phylogenetics, and systems biology.
  • Genomics and Transcriptomics: Studies investigating genome analysis, gene expression profiling, transcriptome analysis, and other high-throughput sequencing technologies. This may include the development of tools and algorithms for genome assembly, variant calling, gene expression quantification, and regulatory network inference.
  • Proteomics and Metabolomics: Research on the analysis of protein structure, function, and interactions, as well as metabolite profiling and metabolic pathway analysis. This encompasses methods for protein structure prediction, protein-protein interaction prediction, and metabolite identification.
  • Biological Data Integration: Articles addressing the integration of diverse biological data types, such as genomic, transcriptomic, proteomic, and metabolomic data, to gain comprehensive insights into biological systems. This may involve the development of databases, data integration frameworks, and visualization tools.
  • Systems Biology: Investigations into the modeling and simulation of biological systems at the molecular, cellular, and organismal levels. This includes dynamic modeling approaches, network analysis, and computational simulations to elucidate biological processes and pathways.
  • Machine Learning and Data Mining: Research focusing on the application of machine learning, statistical modeling, and data mining techniques to analyze large-scale biological datasets. This encompasses methods for pattern recognition, classification, clustering, and predictive modeling in bioinformatics.
  • Structural Biology and Drug Discovery: Studies on protein structure prediction, protein-ligand docking, virtual screening, and structure-based drug design. This area explores computational methods for understanding protein-ligand interactions and identifying potential drug targets.
  • Evolutionary Bioinformatics: Research investigating evolutionary processes, phylogenetic analysis, and comparative genomics. This includes the development of computational tools and algorithms for reconstructing evolutionary histories, detecting selection pressures, and studying genome evolution.
  • Biomedical Informatics: Articles focusing on the application of informatics principles and technologies to biomedical research and healthcare. This may include electronic health records, clinical decision support systems, medical imaging informatics, and personalized medicine.
  • Ethical and Legal Issues: Discussions on ethical, legal, and societal implications of bioinformatics research and applications. This may include issues related to data privacy, data sharing, intellectual property rights, and responsible conduct of research.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  13674803

    Electronic ISSN:   13674811

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus

  • Imapct Factor 2024:  5.4

  • Subject Area and Category:  Biochemistry, Genetics and Molecular Biology,Biochemistry,Molecular Biology,Computer Science,Computational Theory and Mathematics,Computer Science Applications,Mathematics,Computational Mathematics,Statistics and Probability

  • Publication Frequency:  

  • H Index:  486

  • Best Quartile:

    Q1:  Biochemistry

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  9.6

  • SNIP:  1.475

  • Journal Rank(SJR):  2.451