npj Systems Biology and Applications

Papers
(The H4-Index of npj Systems Biology and Applications is 18. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Identifying inhibitors of epithelial–mesenchymal plasticity using a network topology-based approach68
Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery64
Mitigating the risk of cytokine release syndrome in a Phase I trial of CD20/CD3 bispecific antibody mosunetuzumab in NHL: impact of translational system modeling61
ROS networks: designs, aging, Parkinson’s disease and precision therapies53
Metabolic modelling reveals broad changes in gut microbial metabolism in inflammatory bowel disease patients with dysbiosis45
Stratification and prediction of drug synergy based on target functional similarity33
Comparative transcriptome analysis reveals key epigenetic targets in SARS-CoV-2 infection32
Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining32
Nobel Turing Challenge: creating the engine for scientific discovery32
Adaptive coding for DNA storage with high storage density and low coverage27
High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures27
3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis25
Cell morphology-based machine learning models for human cell state classification25
Crosstalk between Plk1, p53, cell cycle, and G2/M DNA damage checkpoint regulation in cancer: computational modeling and analysis23
Supervised learning of gene-regulatory networks based on graph distance profiles of transcriptomics data22
Signatures of co-deregulated genes and their transcriptional regulators in colorectal cancer19
Linking metabolic phenotypes to pathogenic traits among “Candidatus Liberibacter asiaticus” and its hosts19
An expanded whole-cell model of E. coli links cellular physiology with mechanisms of growth rate control18
Integrative computational approach identifies drug targets in CD4+ T-cell-mediated immune disorders18
Dynamic resource allocation drives growth under nitrogen starvation in eukaryotes18
The in vitro micronucleus assay using imaging flow cytometry and deep learning18
A global network for network medicine18
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