Quantitative Biology

Scope & Guideline

Pioneering Quantitative Solutions for Biological Challenges

Introduction

Welcome to the Quantitative Biology information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Quantitative Biology, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN2095-4689
PublisherWILEY
Support Open AccessNo
CountryChina
TypeJournal
Convergefrom 2013 to 2024
AbbreviationQUANT BIOL / Quant. Biol.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The journal 'Quantitative Biology' is dedicated to advancing the understanding of biological systems through quantitative approaches, integrating computational methods, mathematical modeling, and data analysis to explore complex biological phenomena. It aims to bridge the gap between theoretical research and practical applications in the life sciences.
  1. Mathematical Modeling and Simulation:
    The journal emphasizes the development and application of mathematical models to simulate biological processes, including disease progression, genetic interactions, and cellular behaviors.
  2. Bioinformatics and Computational Biology:
    Research focusing on the use of computational tools and bioinformatics methods to analyze biological data, including genomic, proteomic, and metabolomic datasets.
  3. Machine Learning and Artificial Intelligence in Biology:
    The journal explores the application of machine learning algorithms in biological contexts, such as drug discovery, genomics, and predictive modeling of biological outcomes.
  4. Systems Biology:
    An integrative approach to understanding complex interactions within biological systems, including the modeling of cellular networks and organismal functions.
  5. Synthetic Biology:
    Research on the design and construction of new biological parts, devices, and systems, emphasizing quantitative approaches to understand and manipulate biological functions.
  6. Clinical Applications and Translational Research:
    The journal highlights studies that translate quantitative biological research into clinical applications, focusing on diagnostics, treatment strategies, and personalized medicine.
The landscape of research in 'Quantitative Biology' is evolving, with several themes gaining traction in recent publications. This section highlights the emerging areas of focus that reflect the journal's shifting priorities and the interests of the scientific community.
  1. Integration of AI and Machine Learning:
    There is a significant increase in research applying artificial intelligence and machine learning techniques to various biological problems, from drug discovery to genetic analysis.
  2. Omics Data Integration:
    Emerging studies focus on integrating multi-omics data (genomics, transcriptomics, proteomics) to provide a comprehensive view of biological systems and disease mechanisms.
  3. Network Biology and Systems Analysis:
    Research is increasingly centered around understanding biological networks, including gene regulatory networks and protein-protein interaction networks, using quantitative methods.
  4. Personalized Medicine and Predictive Modeling:
    The trend towards personalized medicine is reflected in studies that utilize predictive modeling to tailor treatments based on individual genetic profiles and clinical data.
  5. Synthetic Biology Innovations:
    There is a growing interest in innovative applications of synthetic biology, particularly in designing genetic circuits and metabolic pathways for therapeutic and industrial purposes.

Declining or Waning

While 'Quantitative Biology' has seen a rise in certain themes, others have begun to wane in prominence. This section outlines the topics that are appearing less frequently in recent publications, indicating a shift in research focus within the journal.
  1. Traditional Statistical Methods:
    There has been a decline in the use of conventional statistical approaches in favor of more advanced machine learning techniques and computational models.
  2. Basic Life Sciences Research:
    Research that primarily focuses on fundamental biological principles without quantitative analysis is becoming less prominent, as the journal leans more towards quantitative and computational studies.
  3. Single-Cell Analysis Techniques:
    Although still relevant, the frequency of publications specifically addressing single-cell analysis methodologies without a quantitative or computational focus has decreased.
  4. Epidemiological Studies without Quantitative Models:
    Studies examining public health issues and disease spread without employing quantitative modeling approaches are being published less frequently.
  5. Genetic Studies with Limited Computational Analysis:
    While genetic research remains a core area, there is a noticeable decline in studies that do not integrate computational techniques for data analysis.

Similar Journals

BULLETIN OF MATHEMATICAL BIOLOGY

Exploring the Mathematical Foundations of Life
Publisher: SPRINGERISSN: 0092-8240Frequency: 1 issue/year

Bulletin of Mathematical Biology, published by Springer, is a premier journal dedicated to advancing the field of mathematical biology. With an ISSN of 0092-8240 and an E-ISSN of 1522-9602, this journal has been at the forefront of interdisciplinary research since its inception in 1973, continuing to deliver high-quality contributions through 2024. Operating without an open-access model, the journal maintains robust academic rigor, reflected in its category quartiles for 2023, which positions it in Q1 and Q2 across several relevant fields, including Agricultural and Biological Sciences, Biochemistry, Genetics, and Mathematics, among others. Its impressive Scopus ranks further underscore its significance, placing it in the top tier of journals in general mathematics and agricultural sciences. Researchers, professionals, and students looking to deepen their understanding and contribute to the evolving landscape of mathematical biology will find this journal an essential resource for contemporary studies and advancements in the field.

BioData Mining

Unlocking the Secrets of Biological Data
Publisher: BMCISSN: 1756-0381Frequency: 1 issue/year

BioData Mining is a distinguished open access journal published by BMC, focusing on the dynamic intersection of bioinformatics, computational mathematics, and molecular biology. Since its inception in 2008, this journal has provided a critical platform for researchers and professionals to publish their findings, contributing significantly to the collective knowledge in fields such as biochemistry, computational theory, and genetics. With a robust impact factor and a commendable h-index, BioData Mining continues to be a vital resource for academic and industrial advancements, ranked in the top quartiles in various categories according to the 2023 metrics. The journal's commitment to open access ensures that cutting-edge research is readily available to the global scientific community, thereby enhancing visibility and fostering collaboration among scholars. Whether you are a researcher, student, or practitioner, engaging with BioData Mining will equip you with relevant insights and developments in the fast-evolving realm of bioinformatics.

BIOSYSTEMS

Advancing interdisciplinary insights in biological systems.
Publisher: ELSEVIER SCI LTDISSN: 0303-2647Frequency: 12 issues/year

BIOSYSTEMS is a prestigious academic journal published by Elsevier Science Ltd, dedicated to the interdisciplinary fields of applied mathematics, biochemistry, genetics, molecular biology, medicine, modeling and simulation, and statistics and probability. Established in 1967, this journal has carved a niche in presenting innovative research that bridges theoretical and practical aspects of biological systems, making it essential reading for researchers, professionals, and students alike. With a robust impact factor and a Q3 category ranking across various fields, BIOSYSTEMS is recognized for its contributions to advancing scientific knowledge and fostering collaborations among disciplines. The journal's rigorous peer-review process ensures high-quality and impactful articles that address complex biological challenges through quantitative and qualitative methods. As a vital resource for the academic community, BIOSYSTEMS invites submissions that enhance understanding of biosystem processes, enabling readers to stay at the forefront of research trends and applications.

Systematic Biology

Connecting the dots in the web of life and its systems.
Publisher: OXFORD UNIV PRESSISSN: 1063-5157Frequency: 6 issues/year

Systematic Biology is a premier journal published by Oxford University Press, dedicated to advancing the field of systematic biology through rigorous research and comprehensive reviews. Established in 1952, this esteemed journal has become a cornerstone of scholarship in Ecology, Evolution, Behavior and Systematics and Genetics, consistently ranking in the Q1 category as of 2023. With an impressive Scopus ranking—19th in Ecology and Evolution and 23rd in Genetics—Systematic Biology offers a platform for the dissemination of groundbreaking research, novel methodologies, and critical discussions that shape our understanding of biological diversity and evolution. While the journal does not currently offer open access options, it maintains a strong commitment to quality and integrity in publishing, ensuring that every article contributes meaningfully to the scientific community. Researchers, professionals, and students alike will find valuable insights and a wealth of knowledge within its pages, supporting their work and fostering a deeper appreciation for the intricate web of life.

npj Systems Biology and Applications

Exploring the Nexus of Mathematics and Life Sciences
Publisher: NATURE PORTFOLIOISSN: Frequency: 1 issue/year

npj Systems Biology and Applications, published by NATURE PORTFOLIO, is a premier open-access journal that has been at the forefront of the field since its inception in 2015. With a commendable focus on the interdisciplinary integration of applied mathematics, biochemistry, computer science, and drug discovery, the journal currently enjoys a Q1 ranking across multiple categories, showcasing its significant impact within the scientific community. In 2023, it ranked 70 out of 635 in Applied Mathematics and holds a notable place in the 89th percentile, confirming its esteemed reputation among researchers. Situated in the United Kingdom, this journal not only promotes innovative research in systems biology but also serves as an essential platform for the dissemination of high-quality studies that delve into modeling, simulation, and the application of biological systems in drug discovery processes. With an open-access model, authors can reach a broad audience, enhancing collaborations and advancing knowledge across disciplines, making it an indispensable resource for researchers, professionals, and students alike seeking to contribute to the evolving landscape of systems biology.

COMPUTATIONAL BIOLOGY AND CHEMISTRY

Pioneering Solutions for Tomorrow’s Biological Challenges with Computational Techniques
Publisher: ELSEVIER SCI LTDISSN: 1476-9271Frequency: 6 issues/year

COMPUTATIONAL BIOLOGY AND CHEMISTRY is a distinguished academic journal published by Elsevier Science Ltd, focusing on the dynamic intersection of computational biology, biochemistry, and chemistry. With an ISSN of 1476-9271 and an E-ISSN of 1476-928X, this journal is committed to disseminating high-quality research that employs computational techniques to solve complex biological and chemical problems. As of 2023, the journal holds a substantial impact factor reflecting its significance and rigorous peer-review process, categorized in the Q2 quartile for both Computational Mathematics and Organic Chemistry, alongside Q3 classifications in Biochemistry and Structural Biology. With a continuous publication history spanning from 2003 to 2024, it serves as a critical resource for researchers, professionals, and students alike. The journal offers various open access options, ensuring that vital research findings are accessible to a global audience, further enhancing collaboration across disciplines. Engage with cutting-edge studies and contribute to the evolving landscape of computational methodologies in the life sciences through this esteemed publication.

Interdisciplinary Sciences-Computational Life Sciences

Catalyzing Interdisciplinary Research in Life Sciences
Publisher: SPRINGER HEIDELBERGISSN: 1913-2751Frequency: 4 issues/year

Interdisciplinary Sciences-Computational Life Sciences, published by SPRINGER HEIDELBERG, is a premier journal dedicated to advancing the field of life sciences through the lens of computational methods. With an ISSN of 1913-2751 and an E-ISSN of 1867-1462, this journal serves as a significant platform for researchers and professionals alike, fostering innovation and collaboration across various disciplines. As a testament to its impact, the journal holds a Q2 category status in Biochemistry, Genetics and Molecular Biology, Computer Science Applications, and Health Informatics, reflecting its influential contributions and rigorous peer-review process. The Scopus rankings demonstrate its esteemed placement within its fields, with notable percentiles that highlight its relevance and reach. While the journal operates under a traditional access model, its commitment to publishing high-quality research continues to stimulate important discussions and developments within the scientific community. Founded in 2009 and converging through 2024, Interdisciplinary Sciences-Computational Life Sciences remains an essential resource for the latest discoveries at the intersection of computation and life sciences, appealing to both seasoned researchers and enthusiastic students eager to contribute to this dynamic field.

PLoS Computational Biology

Connecting Minds in Computational Biology
Publisher: PUBLIC LIBRARY SCIENCEISSN: 1553-734XFrequency: 12 issues/year

PLoS Computational Biology is a premier open-access journal published by the Public Library of Science, committed to advancing the understanding of complex biological data through computational approaches. Since its inception in 2005, the journal has made significant strides in the fields of Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Ecology, Genetics, and Molecular Biology, achieving a notable Q1 ranking in various categories as of 2023. With an exceptional impact factor and an esteemed ranking—such as Rank #23/176 in Computational Theory and Mathematics—PLoS Computational Biology provides a vital platform for researchers, professionals, and students to disseminate their cutting-edge findings and insights. The journal's open-access model ensures that high-quality research is freely accessible worldwide, fostering collaboration and innovation across disciplines. Located in San Francisco, CA, it serves as a hub for the global scientific community, making it an indispensable resource for anyone at the forefront of computational biology and its diverse applications.

EXPERIMENTAL BIOLOGY AND MEDICINE

Transforming biological research into medical advancements.
Publisher: FRONTIERS MEDIA SAISSN: 1535-3702Frequency: 18 issues/year

EXPERIMENTAL BIOLOGY AND MEDICINE is a distinguished open-access journal published by FRONTIERS MEDIA SA, specializing in the interdisciplinary fields of biochemistry, genetics, and medicine. With an ISSN of 1535-3702 and an E-ISSN of 1535-3699, this journal presents a robust platform for cutting-edge research and innovative clinical studies. Since its inception in 1996, it has evolved to feature a broad scope that caters to the evolving needs of researchers, professionals, and students, ensuring a dynamic dissemination of knowledge in biological and medical sciences. In 2023, the journal achieved a notable Q2 ranking in both Biochemistry, Genetics and Molecular Biology and Medicine categories, reflecting its strong impact and relevance within the academic community, as supported by its Scopus rank of #59 out of 221 in general biochemistry and genetics, placing it in the 73rd percentile. By offering open access options, EXPERIMENTAL BIOLOGY AND MEDICINE aims to maximize the reach and visibility of research findings, fostering collaboration and knowledge sharing across global audiences. Researchers are encouraged to contribute to this vital resource as it continues to advance the understanding of biological mechanisms and therapeutic approaches crucial for modern medicine.

Journal of Integrative Bioinformatics

Advancing the Frontiers of Bioinformatics Research
Publisher: WALTER DE GRUYTER GMBHISSN: Frequency: 1 issue/year

Journal of Integrative Bioinformatics, published by WALTER DE GRUYTER GMBH, is a leading open-access journal that has been at the forefront of the field since its inception in 2004. With an E-ISSN of 1613-4516, it serves as a crucial platform for researchers engaged in the interdisciplinary study of bioinformatics, blending insights from biology, computer science, and mathematics. Based in Germany, the journal is recognized for its impact in the realm of general medicine, boasting a Scopus rank of #172 out of 636 and placing in the 73rd percentile of its category. The journal continuously strives to disseminate high-quality research contributions that unify experimental and computational approaches to address complex biomedical questions. Targeted towards academics, professionals, and students alike, the Journal of Integrative Bioinformatics provides essential access to innovative research that enhances our understanding of integrative methodologies in medicine and beyond, especially with converged years spanning from 2008 to 2024.