npj Systems Biology and Applications

Papers
(The TQCC of npj Systems Biology and Applications is 8. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Measuring criticality in control of complex biological networks99
Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery76
Spatial computational modelling illuminates the role of the tumour microenvironment for treating glioblastoma with immunotherapies73
Knowledge-based mechanistic modeling accurately predicts disease progression with gefitinib in EGFR-mutant lung adenocarcinoma58
Sunset Yellow protects against oxidative damage and exhibits chemoprevention in chemically induced skin cancer model54
Leveraging public AI tools to explore systems biology resources in mathematical modeling51
Data-driven modeling of core gene regulatory network underlying leukemogenesis in IDH mutant AML50
Optimization of nutrient utilization efficiency and productivity for algal cultures under light and dark cycles using genome-scale model process control45
Comprehensive molecular interaction map of TGFβ induced epithelial to mesenchymal transition in breast cancer44
Causality-aware graph neural networks for functional stratification and phenotype prediction at scale39
Calibrating tissue level PDE models of ligand dynamics using single cell and spatial transcriptomics data39
Understanding the role of toggle genes in chronic lymphocytic leukemia proliferation36
Network-based transfer of pan-cancer immunotherapy responses to guide breast cancer prognosis34
Revisiting the evolution of bow-tie architecture in signaling networks34
Data-driven universal insights into tumorigenesis via hallmark networks30
Extracellular matrix-driven patient stratification and network modeling reveal distinct molecular grades with potential clinical implications30
Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancer29
Integrative temporal multi-omics reveals uncoupling of transcriptome and proteome during human T cell activation29
Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods27
Leveraging quantitative systems pharmacology modeling for elranatamab regimen optimization in relapsed or refractory multiple myeloma27
Modelling HIV-1 control and remission26
Author Correction: Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms25
sciCAN: single-cell chromatin accessibility and gene expression data integration via cycle-consistent adversarial network25
Data-driven synthetic microbes for sustainable future25
Tissue-wide cell-specific proteogenomic modeling reveals novel candidate risk genes in autism spectrum disorders25
Region-specific mean field models enhance simulations of local and global brain dynamics24
An integrative mathematical model for timing treatment toxicity and Zeitgeber impact in colorectal cancer cells23
Integrated omics of Saccharomyces cerevisiae CENPK2-1C reveals pleiotropic drug resistance and lipidomic adaptations to cannabidiol23
Gene regulatory network transitions reveal the central transcription factors in lung adenocarcinoma progression22
Matters of life and death in computational cell biology22
Enhancing yeast cell tracking with a time-symmetric deep learning approach22
Personalizing neoadjuvant chemotherapy regimens for triple-negative breast cancer using a biology-based digital twin21
Exploring cell-to-cell variability and functional insights through differentially variable gene analysis20
Adaptive coding for DNA storage with high storage density and low coverage20
Hif-1 responsive IFFLs to explain specific transcriptional responses to cycling hypoxia in cancers20
EMBED: Essential MicroBiomE Dynamics, a dimensionality reduction approach for longitudinal microbiome studies20
Spatiotemporal instability of influenza seasonality during viral co-circulation19
YAP/TAZ drives Notch and angiogenesis mechanoregulation in silico19
Merging metabolic modeling and imaging for screening therapeutic targets in colorectal cancer19
A mechanism for the emergence of low-dimensional structures in brain dynamics19
Alzheimer’s disease rewires gene coexpression networks coupling different brain regions19
Systematic analysis of negative and positive feedback loops for robustness and temperature compensation in circadian rhythms19
WEE1 inhibition delays resistance to CDK4/6 inhibitor and antiestrogen treatment in ER+ MCF7 cells18
SIMBA-GNN: mechanistic graph learning for microbiome prediction18
General relationship of local topologies, global dynamics, and bifurcation in cellular networks18
A single-cell network approach to decode metabolic regulation in gynecologic and breast cancers18
Conditional universal differential equations capture population dynamics and interindividual variation in c-peptide production17
Few-shot prediction of amyloid β accumulation from mainly unpaired data on biomarker candidates17
Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy17
LumbriCyc: towards metabolic modelling of earthworms16
Synthetic lethality in large-scale integrated metabolic and regulatory network models of human cells16
Endosomal pH is an evolutionarily conserved driver of phenotypic plasticity in colorectal cancer16
Exploring chronic and transient tumor hypoxia for predicting the efficacy of hypoxia-activated pro-drugs16
Globally invariant behavior of oncogenes and random genes at population but not at single cell level16
Minimal gene signatures enable high-accuracy prediction of antibiotic resistance in Pseudomonas aeruginosa16
Genetic basis of temporal variation in phenology in a woody perennial plant15
Integrating AI, mechanistic modelling and network approaches in systems biology for translational research15
Unraveling anti-inflammatory metabolic signatures of Glycyrrhiza uralensis and isoliquiritigenin through multiomics15
A Python toolbox for neural circuit parameter inference15
Learning patient-specific spatial biomarker dynamics via operator learning for Alzheimer’s disease progression15
Manifold-based learning for high-throughput single-peanut phenotyping15
A robust ultrasensitive transcriptional switch in noisy cellular environments15
An architecture for collaboration in systems biology at the age of the Metaverse15
Design principles of improving the dose-response alignment in coupled GTPase switches15
An integrative molecular systems approach unravels mechanisms underlying biphasic nitrate uptake by plant nitrate transporter NRT1.114
PYEAST – A Computational Toolkit for Saccharomyces cerevisiae Genetic Engineering14
Spatial cell graph analysis reveals skin tissue organization characteristic for cutaneous T cell lymphoma14
Identification of drug responsive enhancers by predicting chromatin accessibility change from perturbed gene expression profiles14
A comprehensive mechanistic model of adipocyte signaling with layers of confidence14
Cellular patterns in Arabidopsis root epidermis emerge from gene regulatory network and diffusion dynamical feedback14
Extending PROXIMAL to predict degradation pathways of phenolic compounds in the human gut microbiota14
Effects of resource packaging on the adaptative and pleiotropic consequences of evolution13
Harnessing synthetic biology for advancing RNA therapeutics and vaccine design13
QSP modeling of loncastuximab tesirine with T-cell-dependent bispecific antibodies guides dose-regimen strategy13
Design principles for robust multistability in coupled feedforward-feedback regulatory circuits13
Development of a severe rat refeeding syndrome model and mathematical modeling of the associated hypophosphatemia13
Cell populations simulated in silico within SimulCell accurately reproduce the behaviour of experimental cell cultures13
A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors13
The modular biochemical reaction network structure of cellular translation13
Computational gastronomy: capturing culinary creativity by making food computable13
Mesenchymal ovarian cancer cells promote CD8+ T cell exhaustion through the LGALS3-LAG3 axis13
Multistability and predominant hybrid phenotypes in a four node mutually repressive network of Th1/Th2/Th17/Treg differentiation13
Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease12
Assessing the impact of sampling bias on node centralities in synthetic and biological networks12
Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival12
A benchmark of RNA-seq data normalization methods for transcriptome mapping on human genome-scale metabolic networks12
Publisher Correction: Mammalian synthetic gene circuits for biopharmaceutical development & manufacture12
Fluxomics reveals cellular and molecular basis of increased renal ammoniagenesis12
Protein painting reveals pervasive remodeling of conserved proteostasis machinery in response to pharmacological stimuli12
Mathematical modeling and mechanisms of HIV latency for personalized anti latency therapies12
Decoding cellular population dynamics through mechanistic modelling and statistical data analysis12
Genetic risk in Alzheimer’s disease11
A statistical framework for detecting therapy-induced resistance from drug screens11
Transformer-based modeling of Clonal Selection and Expression Dynamics reveals resistance mechanisms in breast cancer11
Transomics2cytoscape: an automated software for interpretable 2.5-dimensional visualization of trans-omic networks11
TrackRefiner a tool for refinement of bacillus cell tracking data11
Network medicine informed multiomics integration identifies drug targets and repurposable medicines for Amyotrophic Lateral Sclerosis11
Identification of Probucol as a candidate for combination therapy with Metformin for Type 2 diabetes11
Peptide hemolytic activity analysis using visual data mining of similarity-based complex networks10
Modelling reliable metabolic phenotypes by analysing the context-specific transcriptomics data10
Dual RAF inhibition outperforms RAF-MEK combinations for suppressing ERK signaling in KRAS mutant cells10
Time and dose selective glucose metabolism for glucose homeostasis and energy conversion in the liver10
Understanding therapeutic tolerance through a mathematical model of drug-induced resistance10
Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations10
DeepARV: ensemble deep learning to predict drug-drug interaction of clinical relevance with antiretroviral therapy10
Rewiring miR-22/SNAI1 via CRISPR-based edge editing destabilizes the epithelial phenotype10
Flexible modeling of regulatory networks improves transcription factor activity estimation10
Representation and quantification of module activity from omics data with rROMA9
Mechanisms of rectified gap junctional coupling enhancing pacemaking activity of biologically engineered pacemaker cells9
BioNetGMMFit: estimating parameters of a BioNetGen model from time-stamped snapshots of single cells9
A novel approach to quantify out-of-distribution uncertainty in Neural and Universal Differential Equations9
Computational modeling of AMPK and mTOR crosstalk in glutamatergic synapse calcium signaling9
Optimal control theory as a method for designing multidrug adaptive therapy regimens9
GO2Sum: generating human-readable functional summary of proteins from GO terms9
Cross-platform metabolomics imputation using importance-weighted autoencoders9
NETISCE: a network-based tool for cell fate reprogramming9
A machine learning framework reveals key drivers of cytokine responses in a healthy human cohort9
Author Correction: Mitochondria interaction networks show altered topological patterns in Parkinson’s disease9
A Boolean model explains phenotypic plasticity changes underlying hepatic cancer stem cells emergence9
Machine learning estimation of FVIII pharmacokinetic parameters in Chinese children with severe Hemophilia A9
Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy8
Position-dependent effects of RNA-binding proteins in the context of co-transcriptional splicing8
Sometimes extracellular recordings fail for good reasons8
Quantitative systems-based prediction of antimicrobial resistance evolution8
Multiscale, mechanistic model of Rheumatoid Arthritis to enable decision making in late stage drug development8
Author Correction: Enhancing randomized clinical trials with digital twins8
Data-driven energy landscape reveals critical genes in cancer progression8
Metabolic gene expression-based stratification and prognostic risk predictive model of head and neck squamous cell carcinoma8
Decoupling the chemical and physical origins of the seed spectral manifold in sorghum8
Systems profiling reveals recurrently dysregulated cytokine signaling responses in ER+ breast cancer patients’ blood8
Patient-specific gene co-expression networks reveal novel subtypes and predictive biomarkers in lung adenocarcinoma8
Cross-species transcriptomics translation reveals a role for the unfolded protein response in Mycobacterium tuberculosis infection8
PEACOCK: a machine learning approach to assess the validity of cell type-specific enhancer-gene regulatory relationships8
Next generation lineage tracing and its applications to unravel development8
An integrated study to decipher immunosuppressive cellular communication in the PDAC environment8
Multi-omics integration reveals ANXA6-high γδ T cell–endothelial communication as a potential link between periodontitis and MASLD8
Liver progenitor cells perform wound healing in a scratch assay by concerted bistable circuits8
Insights gained from computational modeling of YAP/TAZ signaling for cellular mechanotransduction8
Immune digital twins for complex human pathologies: applications, limitations, and challenges8
Inferring relationships among major psychiatric disorders in a resting-state functional connectivity-informed embedding space8
A data-driven Boolean model explains memory subsets and evolution in CD8+ T cell exhaustion8
Publisher Correction: Rethinking medical education through systems biology to address complexity8
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