Journals in Mathematical biosciences

BioSystems

ISSN: 0303-2647
5 Year impact factor: 1.8
Impact factor: 2

BioSystems encourages theoretical, computational, and experimental articles that link biology, evolutionary concepts, and the information sciences. The journal is dedicated to publishing research on self-organizing information systems—with the goal of obtaining a better understanding of the origins of biochemical, genetic, epigenetic, physiological, cognitive, linguistic, sociocultural, and biological organization and evolution.The scope of the journal encompasses the fundamental nature of biological information and (self)-organization. This includes quantum phenomena in information transfer, natural computing, biological coding systems, biological complexity, theoretical biology, artificial life, computational modeling of complex biological systems, evolutionary models of computation, application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.The journal does not publish purely medical, computational, or ecological research, unless it is clearly linked to the basic and conceptual aspects of biological organization.The editors encourage articles that deal, in particular, with the following topics:Biological computationMolecular recognitionPhysical foundations of biologyQuantum phenomena in biological systemsCellular controlNeuromolecular computingBiological coding systemsMolecular computing processesSelf-organizing and self-replicating systemsOrigin of the genetic codeOrigins and evolution of genomesStochastic evolutionary algorithmsOrigins and evolution of mind and languageEcological evolutionary developmental biologyReticulate evolution (symbiosis, symbiogenesis, lateral gene transfer)Simulation of genetic and ecological systemsApplications (neural nets, machine learning, robotics)History and philosophy of scienceIn addition, the editors encourage the following types of papers for submission: Papers that extract novel biological insights from multidimensional data, using AI-driven language modelsBiological hypothesis papers producing new insights based on a body of pre-existing empirical researchPerspectives papers intended to stimulate scientific discussions and provide guidelines for future directions

Brain Multiphysics

ISSN: 2666-5220

A multidisciplinary journal dedicated to the physics of the brain and its biological and clinical implications in:Brain development (e.g., morphogenesis, neural networks),Brain physiology and function (e.g., regulation, neuromodulation),Brain pathology (e.g., neurodegeneration, TBI, cancer, stroke).The journal offers an open-access multidisciplinary publishing platform (under the format of letters, research articles, and reviews) to researchers interested in physical aspects of the brain. The journal will consider experimental, clinical, theoretical, and computational studies aimed at improving our understanding of the brain or developing new methods to probe the fascinating inner working of the brain. Authors are welcome to contact the Editors-in-Chief ahead of submission to ask whether their work is suitable for the journal.

Computational Biology and Chemistry

ISSN: 1476-9271
5 Year impact factor: 2.6
Impact factor: 2.6

Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.

Current Opinion in Systems Biology

ISSN: 2452-3100
Impact factor: 3.4

Current Opinion in Systems Biology is a new review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is regularly reviewed.The following areas will be covered by Current Opinion in Systems Biology: • Genomics and Epigenomics • Gene Regulation • Metabolic Networks • Cancer and Systemic Diseases • Mathematical Modelling • Big Data Acquisition and Analysis • Systems Pharmacology and Physiology • Synthetic Biology • Stem Cells, Development, and Differentiation • Systems Biology of Model Organisms • Systems Immunology and Host-Pathogen Interaction • Systems Ecology and EvolutionSection Editors, who are major authorities in the field, are appointed by the Editors in Chief of the journal. They divide their sections into a number of topics, ensuring that the field is comprehensively covered and that all issues of current importance are emphasised. Section Editors commission reviews from authors on each topic that they have selected and arrange for the peer review process. The papers are reviewed by 2 independent reviewers.ReviewsAuthors write short review articles in which they present recent developments in their subject, emphasizing the aspects that, in their opinion, are most important. In addition, they provide short annotations to the papers that they consider to be most interesting from all those published in their topic over the previous year.Opinion ArticlesAuthoritative opinion articles that provide an in-depth background and personal, well reasoned perspective on current, relevant as well as controversial topics within the themes of the journal will be written by the Editor-in-Chief and / or invited by the Editor-in-Chief.Editorial OverviewSection Editors write a short overview at the beginning of the section to introduce the reviews and to draw the reader's attention to any particular interesting developments.Invited authors are encouraged to visit our Guide for Authors for information on article submission.

Ecological Complexity

ISSN: 1476-945X
5 Year impact factor: 2.7
Impact factor: 3.1

An International Journal on Biocomplexity in the Environment and Theoretical EcologyEcological Complexity is an international journal devoted to publishing high-quality, peer-reviewed articles on the complex nature of ecological systems, observed and theoretical and special issues on related and emerging topics. In addition to ecological questions, the journal welcomes papers that ask ecological questions by linking natural and social processes at various spatio-temporal scales.Ecological Complexity will publish research into the following areas: • Ecosystems and the biosphere as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and dynamics across scales), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Approaches to complex systems for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexityThe papers that should appear in this journal are characterized by: • Biocomplexity related to the environment and vice versa • Inter disciplinarity (e.g. biology, ecology, environmental science, mathematics, modelling) • Integration of natural and social processes (esp. over time)

Healthcare Analytics

ISSN: 2772-4425

Healthcare Analytics is an interdisciplinary journal promoting the application of data science, business analytics, information technology, operations research, statistics, simulation, optimization, and mathematical modeling to decision-making and problem-solving in healthcare organizations within the private and public sectors. The principal objective of Healthcare Analytics is to provide state-of-the-art information for academic researchers, policy-makers, and practitioners concerned with developing new methodologies, tools, and technologies to formulate and solve operational, tactical, and strategic problems in healthcare organizations. The journal views a healthcare organization as an entity that provides medical services, health-related support, or medical care to individuals or communities. These organizations are structured to deliver a wide range of services to promote, maintain, or restore health. Healthcare organizations can vary in size, scope, and purpose and can be classified into different types based on their function, ownership, and services. A healthcare organization can be a hospital (providing a broad range of medical services, including emergency care, surgeries, inpatient treatment, and specialized care), a clinic (offering outpatient services, preventive care, and treatment for non-emergency conditions), a nursing home (providing long-term care for elderly or disabled individuals who need help with daily activities), a home healthcare agency (offering medical care and assistance to patients in their homes), a public health organization (focusing on population health through disease prevention, health education, and community health initiatives), a health maintenance organization (managing healthcare services through a network of providers with a focus on preventive care), an urgent care center (providing immediate care for non-life-threatening conditions), a rehabilitation center (focusing on helping patients recover from injuries, surgeries, or illnesses), a clinical or hospital laboratory (performing blood tests, pathology, microbiology, and biochemistry analysis), a pharmaceutical or biotech laboratory (developing and testing new drugs and treatments or new medical equipment and devices), a public health laboratory (focusing on disease surveillance, testing for infectious diseases, and managing public health emergencies), an environmental health laboratory (analyzing samples related to environmental factors, such as water, air, and soil quality), or health research centers (such as academic medical centers, national research institutes, government-funded institutions, non-governmental research centers, or private companies or foundations) among others.Healthcare Analytics is comprised of four Departments:The Descriptive Analytics Department handles manuscripts and studies that answer what happened by analyzing historical data and extracting hindsight about the past without explaining why.The Diagnostic Analytics Department handles manuscripts and studies that answer why something happened by measuring historical data against other data (i.e., benchmarks) and extracting insight into the present.The Predictive Analytics Department handles manuscripts and studies that answer what will happen using descriptive and diagnostic analytics findings to provide foresight for the future.The Prescriptive Analytics Department handles manuscripts and studies that answer what to do using descriptive, diagnostic, and predictive analytics findings and prescribe for the future to eliminate a problem or take advantage of a promising trend.The journal is a source of information for theoretical, empirical, and analytical research and real-world applications and case studies in healthcare analytics and informatics.

Heliyon

ISSN: 2405-8440
5 Year impact factor: 3.9
Impact factor: 3.4

Heliyon considers research from all areas of the physical, applied, life, social and medical sciences. We publish manuscripts reporting scientifically accurate and valuable research, which adheres to accepted ethical and scientific publishing standards. As such Heliyon publishes new insights as well as extensions on existing theories, negative/null results and replication studies.Submissions covering arts, humanities and law are not considered in Heliyon. Authors of these submissions are encouraged to submit directly to our partner journal Social Sciences & Humanities Open.Heliyon classifies manuscripts/articles into different sections based on the research topic discussed. Some sections exclude certain types of studies from their scope. To know more and to see the kind of manuscripts the various sections publish, please visit: https://www.cell.com/heliyon/sectionsA dedicated in-house editorial office team, internal editors as well as external academic section and associate editors handle your manuscript and manage the publication process, giving your research the editorial support and quality control it deserves.If it's important to you, it's important to us. Submit your paper today.

Journal of Theoretical Biology

ISSN: 0022-5193
5 Year impact factor: 1.9
Impact factor: 1.9

The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including:• Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game TheoryAcceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.Whatever the topic of the paper, please note that the biological significance of the problem being studied should be clearly stated. In addition, Highlights are required for each article and they should feature the biological applications as well as any theoretical advancements.Highly speculative papers not based on current biological knowledge will not be accepted. Importantly, papers in which only mathematics is utilized, only technical mathematical results are proved, or standard statistical/bioinformatics methods are applied to existing genomic data, without new theoretical perspective or biologically novel insight will NOT be considered. The journal does not accept unsolicited review papers. Comments on theoretical issues or on papers published specifically in the Journal of Theoretical Biology are welcomed in the form of Letters to the Editors.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

Mathematical Biosciences

ISSN: 0025-5564
5 Year impact factor: 2.3
Impact factor: 1.9

Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.

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