IET Systems Biology

Papers
(The TQCC of IET Systems Biology is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-01-01 to 2025-01-01.)
ArticleCitations
25
19
A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer11
Fusion of various optimisation based feature smoothing methods for wearable and non‐invasive blood glucose estimation10
9
Research on symptoms composition, time series evolution, and network visualisation of interstitial cystitis based on complex network community discovery algorithm8
Identification and validation of a seven‐gene prognostic marker in colon cancer based on single‐cell transcriptome analysis8
Machine learning unveils RNA polymerase II binding as a predictor for SMAD2‐dependent transcription dynamics in response to Actvin signalling8
Identifying driver modules based on multi‐omics biological networks in prostate cancer8
The effect of normalisation and error model choice on the distribution of the maximum likelihood estimator for a biochemical reaction7
siRNAEfficacyDB: An experimentally supported small interfering RNA efficacy database7
Multi‐model fusion of classifiers for blood pressure estimation7
A two‐stage neural network prediction of chronic kidney disease7
Erratum: Identifying genuine protein–protein interactions within communities of gene co‐expression networks using a deconvolution method7
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression6
Comprehensive analysis of LILR family genes expression and tumour‐infiltrating immune cells in early‐stage pancreatic ductal adenocarcinoma6
High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry5
State Feedback and Synergetic controllers for tuberculosis in infected population5
Bioinformatics identification of a T‐cell‐related signature for predicting prognosis and drug sensitivity in hepatocellular carcinoma5
Deep sequencing of circulating miRNAs and target mRNAs level in deep venous thrombosis patients5
Construction and characterization of rectal cancer‐related lncRNA‐mRNA ceRNA network reveals prognostic biomarkers in rectal cancer4
In silico analysis of the association between long non‐coding RNA family with sequence similarity 99 member A (FAM99A) and hepatic cancer4
Kinetic modelling of β‐cell metabolism reveals control points in the insulin‐regulating pyruvate cycling pathways4
RYR2mutation in non‐small cell lung cancer prolongs survival via down‐regulation ofDKK1and up‐regulation ofGS1‐115G20.1: A weighted gene Co‐expression network analysis and risk pr4
PPDTS: Predicting potential drug–target interactions based on network similarity3
3
Identification of molecular subtypes of ischaemic stroke based on immune‐related genes and weighted co‐expression network analysis3
Variable structure robust controller design for blood glucose regulation for type 1 diabetic patients: A backstepping approach3
Integrated bioinformatics analysis identified leucine rich repeat containing 15 and secreted phosphoprotein 1 as hub genes for calcific aortic valve disease and osteoarthritis3
3
3
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