Systems Biology
Section edited by Martin Lercher and Itai Yanaiuyne
Systems biology aims to build and apply models for biological systems too complex to be understood intuitively. The systems may comprise, for example, genes, their products, or metabolites, but the focus of the research should be the connections between the parts rather than the parts themselves. Suitable research includes work on systems at all scales, including, but not limited to, metabolic networks, signalling networks, and developmental pathways. Theoretical work should lead to testable predictions that can be applied to biological data. Evolutionary comparisons of systems are particularly welcome, as are analyses of systems-level properties and their relations to biological function.
2018 Journal Metrics
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Speed
96 days to first decision for reviewed manuscripts only
72 days to first decision for all manuscripts
185 days from submission to acceptance
31 days from acceptance to publication
Citation Impact
2.649 - 2-year Impact Factor
3.518 - 5-year Impact Factor
0.666 - Source Normalized Impact per Paper (SNIP)
1.694 - SCImago Journal Rank (SJR)
Usage
271,811 downloads
157 Altmetric mentions