plamen ch. ivanov
Boston University
Boston, United States
Field Chief Editor
Frontiers in Network Physiology
For a detailed description of the fundamental questions, aims, challenges, analytic and modeling approaches, theoretic framework, impacts, current and future directions of research in Network Physiology see “The New Field of Network Physiology: Building the Human Physiolome”
The multidisciplinary field of Network Physiology focuses on whole-body research to understand the mechanisms through which diverse physiological systems and subsystems across spatiotemporal scales — from the metabolic, genomic and cellular scale, to organs and the organism level — interact to synchronize their dynamics and coordinate their functions. Investigations in Network Physiology aim to uncover the laws of cross-communication among systems, and establish basic principles underlying the integration of systems and organs as a network to generate distinct physiological states and behaviors in health and disease.
In addition to defining health and disease through biochemical, structural, dynamical and regulatory changes in individual physiological systems, the conceptual framework of Network Physiology emphasizes the signaling pathways, coordination and network interactions among systems and subsystems as a hallmark of physiological state and function. Integrating data-driven empirical and theoretical knowledge across disciplines ranging from applied mathematics, data science, physics and biomedical engineering to biology, genomics and proteomics, neuroscience, physiology, psychology and clinical medicine, Network Physiology develops the methodical instrumentarium — including integrated platforms of biomedical devices and sensor networks for multisystem and multimodality data recording and imaging, large databases development and curation, computational and analytical methods — and the theoretical framework necessary to address the fundamental question of how physiological states and functions at the organism level emerge out of complex dynamic interactions across systems from biochemical pathways to cellular, tissue, and organ interactions to whole-body behaviors and conditions.
Launched in 2021, Frontiers in Network Physiology is the first and only peer-reviewed scientific journal dedicated to advancing this emerging discipline. The journal is committed to furthering our understanding of how physiological systems and subsystems interact to synchronize functions and integrate as networks to generate physiological states and conditions in health and disease. As a multidisciplinary, open-access forum, it communicates impactful discoveries to both academics and clinicians, and provides a platform for cutting-edge empirical and theoretical research spanning every level of physiological organization, from metabolic, subcellular, and cellular processes to integrated organ systems and the whole organism, while also addressing challenges, current frontiers, and future developments in the field.
Led by Prof. Plamen Ch. Ivanov (Boston University, USA), Frontiers in Network Physiology welcomes research contributions from scientists with backgrounds in adaptive networks of dynamical systems, applied mathematics and nonlinear dynamics, information theory, physics, neuroscience, physiology and psycho-physiology, clinical medicine, biomedical engineering, computational and data science, AI, intelligent devices, and robotics. The journal embraces both basic research and clinical studies aiming to promote discoveries of the laws and control mechanisms that underlie physiologic network interactions in health and disease.
Frontiers in Network Physiology encourages research focused on the development of novel biomedical device platforms and multimodal data acquisition systems — including imaging modalities, sensor networks, and wearables — for synchronized, high-frequency, multichannel recordings of physiological processes across scales, from biochemical to the organism level. It also promotes the advancement of computational, analytic, and modeling approaches to identify forms of interaction, causality, and principles of systems integration across spatiotemporal scales. Together, these efforts support the creation of the Human Physiolome: a comprehensive dynamic BigData and atlas of thousands (possibly millions) of dynamic maps representing physiologic network interactions derived from large-scale signals across multiple levels and physiological systems.
The journal aims to bridge the gap between basic physiology, clinical medicine, and other related disciplines by exploring the interactions and network integration among systems and sub-systems across levels as a hallmark of physiologic state and function. Topics of interest include:
The journal aims to contribute to the understanding of how physiological systems dynamically interact and integrate their functions, ultimately leading to scientific breakthroughs in the field of Network Physiology.
Frontiers in Network Physiology is committed to advancing developments in the field by providing unrestricted access to articles and communicating scientific knowledge to researchers and the public. Advances in Network Physiology will revolutionize our understanding of health and disease. We invite the community to join this new multidisciplinary science, and take part in an exciting journey of new discoveries and applications to build the Human Physiolome
The journal also welcomes submissions which support and advance the UN’s Sustainable Development Goals (SDGs), notably SDG 3: good health and well-being.
Manuscripts submitted to Frontiers in Network Physiology should include an explanation of how the article is relevant to Network Physiology in the introduction or the discussion of reported new results, and have "Network Physiology" as a keyword.
Frontiers in Network Physiology is a member of the Committee on Publication Ethics.
Short name
Front. Netw. Physiol.
Abbreviation
fnetp
Electronic ISSN
2674-0109
Indexed in
Google Scholar, DOAJ, CrossRef, CLOCKSS, OpenAIRE, Scopus, Web of Science Emerging Sources Citation Index (ESCI) , PubMed Central (PMC), PubMed Central (PMC)
PMCID
All published articles receive a PMCID
Impact
3 Impact Factor
4.4 CiteScore
Frontiers in Network Physiology is composed of the following Specialty sections:
The specialty sections of Frontiers in Network Physiology welcome submission of the following article types: Brief Research Report, Case Report, Clinical Trial, Correction, Data Report, Editorial, General Commentary, Hypothesis & Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Systematic Review, Technology and Code.
When submitting a manuscript to Frontiers in Network Physiology, authors must submit the material directly to one of the specialty sections. Manuscripts are peer-reviewed by the Associate and Review Editors of the respective specialty section.
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