
Academic Journal
Q2IET Systems Biology
About IET Systems Biology
IET Systems Biology is a scholarly journal published by John Wiley & Sons Inc.. SCImago 2025 lists it in Q2, with an SJR of 0.456 and H-index of 56.
Coverage: 2007-2026. Research categories: Modeling and Simulation (Q2); Biotechnology (Q3); Genetics (Q3); Cell Biology (Q4); Molecular Biology (Q4).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2026-03-17. This snapshot does not establish today’s listing status or fee quotation.
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Source-backed journal facts
Topics in published research
Gene Regulatory Network Analysis; Bioinformatics and Genomic Networks; Microbial Metabolic Engineering and Bioproduction; Gene expression and cancer classification; Computational Drug Discovery Methods; Ferroptosis and cancer prognosis.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Unravelling the Mechanism of Compound Kushen Injection in Treating Cervical Cancer Through Ferroptosis Regulation: An Integrated Network Pharmacology and Molecular Docking Study
Linlin Chen, Chunmei Li, Cheng Xu, Rong Cai et al.
2026-01 · DOI: 10.1049/syb2.70075Research of the Abnormal Mechanism of Brain Functional Network in Early Mild Cognitive Impairment Patients
Dong Qi, Weiping Wang, Yapeng Diao, Wenxiu Zhao et al.
2026-01 · DOI: 10.1049/syb2.70063Decoding Asthma Therapy: The Role of VEGFA and HIF1A in Yanghe Pingchuan Granule's Mechanism
Qiuping Zhang, Huizhi Zhu, Yongqi Xia, Chuan Lv et al.
2026-01 · DOI: 10.1049/syb2.70067Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
Ze Liu, Yanhui Wu, Shanshan Wang, Fei Lin et al.
2026-01 · DOI: 10.1049/syb2.70062Identification of Chemokine‐Related Genes Derived From T and NK Cells in the Tumour Microenvironment of Ovarian Cancer Based on scRNA‐Seq
Liang Wang, Guifen Liu, Liying Wang, Yisen Cao et al.
2026-01 · DOI: 10.1049/syb2.70069Comprehensive Analysis of FOXO1 as a Tumour Suppressor Biomarker Related to Immune Infiltration and Cell Proliferation of Hepatocellular Carcinoma
Senzhe Xia, Xueqian Qin, Chenggeng Pan, Dingwei Fan et al.
2026-01 · DOI: 10.1049/syb2.70051Causality‐Preserving Generative Adversarial Networks for the Diagnosis of Neurological Disorders
Junhong Ren, Wensheng Zhang
2026-01 · DOI: 10.1049/syb2.70085Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis
Zeqian Li, Jian Yang, Jiale Dong, Zhaofei Ye et al.
2026-01 · DOI: 10.1049/syb2.70053Network Pharmacology and Experimental Validation to Explore the Potential Mechanism of Salvianolic Acid B in Reversing Oxaliplatin Resistance of Colorectal Cancer Cells
Wei Liang, Bo Li, Huan Yang, Yuehong Sun et al.
2026-01 · DOI: 10.1049/syb2.70074Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data
Yajing Li, Hongru Deng, Yongquan Gu
2026-01 · DOI: 10.1049/syb2.70058TSSP‐UNet: A Two‐Stage Weakly Supervised Pathological Image Segmentation With Point Annotations
Shaoqiang Wang, Guiling Shi, Yuchen Wang, Qiang Li et al.
2026-01 · DOI: 10.1049/syb2.70055Data‐Driven Identification of Rational Nonlinear Dynamics in Biochemical Networks via an Implicit Singular Value Decomposition Based Framework
Hongtao Zhu, Longwei Zuo, Chunjian Pan, Qingchao Jiang et al.
2026-01 · DOI: 10.1049/syb2.70068Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures
Hang Li, Yan‐Ting Jin, Dong‐Xin Ye, Qing Liu et al.
2026-01 · DOI: 10.1049/syb2.70056Utilising Machine Learning and Single‐Cell Analysis to Uncover SKCM Metastasis–Related Genes
Zhiwei Liao, Weiming Chen, Yingdi He, Yichen Zheng et al.
2026-01 · DOI: 10.1049/syb2.70061Exposure the Hazardous Potential of Quinalphos: An In‐Depth Analysis for Environmental and Biological Effects on Human Health
Jyoti Kant Choudhari, Biju Prava Sahariah, Anand Kumar Jayapal, Jyotsna Choubey et al.
2026-01 · DOI: 10.1049/syb2.70077A Potential miR‐1246‐5p–H3K27ac–NOL12 Regulatory Axis and Its Putative Tumour‐Promoting Function in Hepatocellular Carcinoma
Li Xiao, Yu‐Long Deng, Li‐Na Liang, Jian‐Di Li et al.
2026-01 · DOI: 10.1049/syb2.70071Mechanistic Investigation of Nitidine Chloride‐Mediated Anti‐Colorectal Cancer Activity: Centromere‐Associated Protein E Targeting via Integrated Molecular Dynamics, Spatial Transcriptomic and Single‐Cell Approaches
Bin Li, Zhi‐Su Liu, Ke‐Jun Wu, Zong‐Yu Li et al.
2026-01 · DOI: 10.1049/syb2.70054Deep Learning Can Predict the Overall Survival of Cervical Cancer Based on Histopathological Image, Gene Mutation and Clinical Information
Jie Shen, Zheng Miao, Lixia Wang, Zhen Huo et al.
2026-01 · DOI: 10.1049/syb2.70060Stochastic Delay Modelling of Streptococcal Transmission: Stability Analysis and Dynamically Consistent Numerical Schemes
Ali Raza, Mansoor Alsulami, Emad Fadhal, Faridah Alruwaili et al.
2026-01 · DOI: 10.1049/syb2.70086Decoding the Anti‐Tumour Mechanism of ɑ‐Solanine: SRC Inhibition and Ferroptosis Induction in Colon Cancer
Chao Zheng, Yu Mao, Yongfeng Chen, Jianping Ye et al.
2026-01 · DOI: 10.1049/syb2.70057Reviews
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October 2, 2026 at 9:33 pm
October 2, 2026