Cell Systems

Papers
(The H4-Index of Cell Systems is 44. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Approaching deconvolution with Fermi’s mindset332
Modeling non-genetic adaptation in tumor cells212
Spatial transcriptomics-aided localization for single-cell transcriptomics with STALocator164
DeST-OT: Alignment of spatiotemporal transcriptomics data155
Subspecies phylogeny in the human gut revealed by co-evolutionary constraints across the bacterial kingdom153
Highly parallel production of designer organoids by mosaic patterning of progenitors146
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning103
AlphaFold2 enables accurate deorphanization of ligands to single-pass receptors94
Observations and implication of thermal tolerance in the Arabidopsis proteome92
Self-organization of plasticity and specialization in a primitively social insect91
Quantifying the uncertainty of assembly-free genome-wide distance estimates and phylogenetic relationships using subsampling91
Evolution in microbial microcosms is highly parallel, regardless of the presence of interacting species90
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals88
How has the AI boom impacted algorithmic biology?79
Periodic spatial patterning with a single morphogen78
Pitfalls of genotyping microbial communities with rapidly growing genome collections78
Unraveling phenotypic plasticity and evolution in small cell lung cancer76
Minding the gaps: The importance of navigating holes in protein fitness landscapes75
Reproducibility metrics for context-specific CRISPR screens69
Systems analysis of de novo mutations in congenital heart diseases identified a protein network in the hypoplastic left heart syndrome67
Seeds of their own destruction: Dominant-negative peptide screening yields functional insight and therapeutic leads65
ImmunoTyper-SR: A computational approach for genotyping immunoglobulin heavy chain variable genes using short-read data63
Evaluation of Sadagopan et al.: X chromosome inactivation in male cancers61
Advancing remote homology detection: A step toward understanding and accurately predicting protein function60
What are the keys to succeeding as a computational biologist in today’s research climate?60
Spatiotemporal dynamics during niche remodeling by super-colonizing microbiota in the mammalian gut60
Evaluation of Peterson et al.: MAPK cascades don’t work in silos: MAP3K cross-activation of MAPKs and the effect of crosstalk on cellular responses57
Group dynamics goes awry: PolyQ-expanded huntingtin gains unwanted partners56
Context matters: DNA virus infection reshapes DNA damage response pathways55
Predicting gene-level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework55
What cannot be seen correctly in 2D visualizations of single-cell ‘omics data?54
Deep computational analysis details dysregulation of eukaryotic translation initiation complex eIF4F in human cancers54
SOPHIE: Viral outbreak investigation and transmission history reconstruction in a joint phylogenetic and network theory framework54
Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations52
A tale of two rhythms: Locked clocks and chaos in biology52
Startle: A star homoplasy approach for CRISPR-Cas9 lineage tracing51
The resilience of Ukrainian scientists51
Evaluation of De Vries et al.: Quantifying cellular shapes and how they correlate to cellular responses50
What is the key challenge in engineering microbiomes?50
Decoupled degradation and translation enables noise modulation by poly(A) tails50
Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition50
To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy47
Alignment of single-cell trajectories by tuMap enables high-resolution quantitative comparison of cancer samples45
Engineering highly active nuclease enzymes with machine learning and high-throughput screening44
Becoming fluent in proteins44
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