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Interdisciplinary sciences, computational life sciences - Springer Nature | 2024 Impact Factor:3.9 | Cite Score:9.0 | Q2

Interdisciplinary sciences, computational life sciences Journal

Impact Factor and Journal Rank of Interdisciplinary sciences, computational life sciences

  • About: Interdisciplinary Sciences: Computational Life Sciences Journal is a premier platform for the publication of groundbreaking research that integrates computational methods with life sciences. The journal aims to bridge the gap between different scientific disciplines by promoting the application of computational techniques to biological and life science research. It provides a venue for researchers to share innovative methodologies, significant findings, and interdisciplinary approaches that advance our understanding of complex biological systems.
  • Publication Types:
    Research Articles: Original research presenting new findings and advancements in computational life sciences.
    Review Papers: Comprehensive reviews that summarize the current state of knowledge and recent developments in the field.
    Methodological Papers: Detailed descriptions of new computational methods and technologies.
    Case Studies: Practical reports on the application of computational techniques in biological research.
  • Impact and Contribution:
    Interdisciplinary Sciences: Computational Life Sciences Journal is a vital resource for researchers, scientists, and practitioners at the intersection of computational methods and life sciences. By publishing cutting-edge research and promoting interdisciplinary collaboration, the journal contributes to the advancement of computational techniques in biological research and their application in various domains. For more information on submission guidelines and access to published articles, please visit the official Interdisciplinary Sciences: Computational Life Sciences Journal page on the Springer Nature website.

  • Editor-in-Chief:  Dong-Qing Wei

  • Scope: Bioinformatics: Research on the development and application of computational tools to analyze and interpret biological data.
  • Computational Biology: Studies using computational models and simulations to understand biological processes and systems.
  • Systems Biology: Research that integrates computational methods to study the interactions within biological systems and their emergent properties.
  • Genomics and Proteomics: Computational approaches to the analysis of genomic and proteomic data, including sequence analysis, gene prediction, and protein structure prediction.
  • Structural Biology: Computational studies on the structure, function, and dynamics of biological macromolecules.
  • Computational Neuroscience: Research on the use of computational models to study the function of the nervous system.
  • Molecular Modeling and Drug Design: Computational techniques for modeling molecular interactions and designing new therapeutic compounds.
  • Biophysics: Studies that apply computational methods to investigate the physical principles underlying biological processes.
  • Evolutionary Biology: Computational approaches to understanding evolutionary processes and phylogenetics.
  • Biomedical Informatics: Research on the application of computational methods to the management and analysis of biomedical data.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1867-1462

    Electronic ISSN:  1913-2751

  • Abstracting and Indexing:  Scopus, SCIE

  • Imapct Factor 2024:  3.9

  • Subject Area and Category:   Biochemistry, Genetics and Molecular Biology, Biochemistry, Genetics and Molecular Biology (miscellaneous), Computer Science, Computer Science Applications, Medicine, Health Informatics

  • Publication Frequency:  

  • H Index:  37

  • Best Quartile:

    Q1:  

    Q2:  Biochemistry, Genetics and Molecular Biology (miscellaneous)

    Q3:  

    Q4:  

  • Cite Score:  9.0

  • SNIP:  1.036

  • Journal Rank(SJR):  0.612