Quantitative Biology - Higher Education Press | 2024 Cite Score:2.0 | Q3

Cite Score and Journal Rank of Quantitative Biology

• About: The Quantitative Biology Journal is a peer-reviewed publication that focuses on the application of quantitative methods and mathematical models to the field of biology. It serves as a platform for researchers, scientists, and practitioners to publish original research articles, reviews, and technical notes that advance the understanding of biological systems through quantitative approaches.
• Objective:
  The primary objective of the journal is to promote the integration of quantitative methods and mathematical modeling in biological research. It aims to facilitate the dissemination of innovative research that enhances the analysis, interpretation, and prediction of biological phenomena using quantitative techniques.
• Topics Covered:
  The Quantitative Biology Journal covers a wide range of topics including: Mathematical modeling of biological systems Computational biology and bioinformatics Systems biology and network analysis Quantitative genetics and genomics Statistical methods in biology Data-driven approaches and machine learning in biology Applications of quantitative methods in various biological disciplines such as ecology, evolutionary biology, and microbiology
• Impact:
  The journal significantly impacts both academia and practice by promoting research that enhances the application of quantitative methods in biology. Its publications contribute to the development of new models and techniques that improve the understanding of complex biological systems and facilitate data-driven discoveries.
• Significance:
  The Quantitative Biology Journal is significant in advancing the field of quantitative biology by providing a forum for high-quality, peer-reviewed research. By highlighting the latest innovations and applications of quantitative approaches in biological research, the journal supports the development of methodologies that drive scientific progress and improve the interpretation of biological data.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Chao Tang

• Scope: The Quantitative Biology Journal focuses on the application of quantitative methods to the study of biological systems. This journal covers a range of topics where quantitative analysis, mathematical modeling, and computational techniques are used to understand biological phenomena. Here are the key areas typically covered in this journal:
• 1. Mathematical Biology
  Development and application of mathematical models to biological systems
  Research on differential equations, stochastic processes, and dynamical systems in biology
  Case studies of mathematical models in population dynamics, epidemiology, and physiology
• 2. Computational Biology
  Application of computational methods to biological data analysis
  Research on algorithms, bioinformatics, and software tools for biological research
  Studies on sequence alignment, structural bioinformatics, and systems biology
• 3. Systems Biology
  Integration of experimental data with computational models to understand biological systems
  Research on network modeling, pathway analysis, and multi-scale modeling
  Case studies of systems biology approaches in genomics, proteomics, and cellular biology
• 4. Biostatistics
  Application of statistical methods to the analysis of biological data
  Research on experimental design, hypothesis testing, and statistical inference in biology
  Studies on statistical techniques for genomics, epidemiology, and clinical research
• 5. Quantitative Genomics
  Research on the quantitative analysis of genomic data
  Studies on gene expression analysis, genetic variation, and genomic prediction
  Application of statistical and computational methods to genome-wide association studies (GWAS)
• 6. Bioinformatics
  Development and application of computational tools for biological data analysis
  Research on sequence analysis, protein structure prediction, and functional annotation
  Studies on data integration and visualization in bioinformatics
• 7. Evolutionary Dynamics
  Application of quantitative methods to the study of evolutionary processes
  Research on population genetics, evolutionary game theory, and adaptive dynamics
  Case studies of evolutionary models in ecology, behavior, and phylogenetics
• 8. Structural Biology and Bioinformatics
  Research on the quantitative analysis of protein structures and interactions
  Application of computational techniques to predict and model macromolecular structures
  Studies on structural bioinformatics and molecular dynamics simulations
• 9. Systems Ecology
  Integration of quantitative methods into ecological research and modeling
  Research on ecological network analysis, population modeling, and ecosystem dynamics
  Case studies of systems ecology approaches in conservation and environmental science
• 10. Quantitative Neuroscience
  Application of quantitative methods to the study of neural systems and brain function
  Research on neural network modeling, electrophysiology, and brain imaging
  Studies on computational neuroscience and the modeling of cognitive processes
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  2095-4689

  Electronic ISSN:  2095-4697

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:   Biochemistry, Genetics and Molecular Biology, Biochemistry, Genetics and Molecular Biology (miscellaneous), Computer Science, Computer Science Applications, Mathematics, Applied Mathematics, Modeling and Simulation

• Publication Frequency:  

• H Index:  24

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  Applied Mathematics

  Q4:  

• Cite Score:  2.0

• SNIP:  0.222

• Journal Rank(SJR):  0.328

• Latest Articles:   Latest Articles in Quantitative Biology

• Guidelines for Authors: Quantitative Biology Author Guidelines

• Paper Submissions: Paper Submissions in Quantitative Biology

• Publisher:  Higher Education Press

  Country:  China

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