IET Systems Biology

Aims & Scope

The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science
• Medline
• PubMed

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Mathematics, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Biochemistry, Genetics and Molecular Biology and Mathematics, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Sensitivity analysis approaches applied to systems biology models

  Citation: 327

  Authors: Z.

• Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network

  Citation: 298

  Authors: S., Z.Q., L.J., X.G., Y.D., Y.Y.

• Graph theory and networks in Biology

  Citation: 285

  Authors: O., M.

• Virtual Cell modelling and simulation software environment

  Citation: 197

  Authors: I.I., J.C., B.M., M.L., F., A., F., Y., L.M.

• Biomolecular implementation of linear I/O systems

  Citation: 152

  Authors: K., E.

• Moment-closure approximations for mass-action models

  Citation: 147

  Authors: C.S.

• Addressing parameter identifiability by model-based experimentation

  Citation: 121

  Authors: A., C., T., U., J.

• Designing spatially heterogeneous strategies for control of virus spread

  Citation: 106

  Authors: Y., S., A.

• Computational procedures for optimal experimental design in biological systems

  Citation: 105

  Authors: E., A.A., J.R.

• Networks for systems biology: conceptual connection of data and function

  Citation: 98

  Authors: F., M.