Frontiers reaches 6.4 on Journal Impact Factors
The scope of the section embraces a wide range of topics in systems biology, physiology, and medicine, including (but not limited to): dynamics and evolution of metabolic and gene regulatory networks, integrative and computational neuroscience, evolutionary genomics, cell dynamics, organismal development, computational biology, ecosystem dynamics, integrative and behavioural medicine, etc. The section's main focus is on analytical and computational models that are strongly supported and inspired by real biological systems and that integrate current empirical knowledge. Work presenting experimental data without a theoretical or computational modelling component will not be considered and neither will work with theoretical models only tangentially inspired by biological systems.
Indexed in: PubMed, PubMed Central, Google Scholar, DOAJ, CrossRef, Chemical Abstracts Service (CAS)
PMCID: all published articles receive a PMCID
Systems Biology welcomes submissions of the following article types: Book Review, Case Report, Clinical Trial, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Protocols, Review, Specialty Grand Challenge, Systematic Review and Technology Report.
All manuscripts must be submitted directly to the section Systems Biology, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Systems Biology will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Neuroscience, Physiology, Genetics, Cell and Developmental Biology, Bioengineering and Biotechnology and Applied Mathematics and Statistics.