Cell Systems

Papers
(The H4-Index of Cell Systems is 40. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Evaluation of Peterson et al.: MAPK cascades don’t work in silos: MAP3K cross-activation of MAPKs and the effect of crosstalk on cellular responses251
Statistical modeling and analysis of cell counts from multiplexed imaging data220
Approaching deconvolution with Fermi’s mindset169
A framework for ultra-low-input spatial tissue proteomics163
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line122
Pitfalls of genotyping microbial communities with rapidly growing genome collections118
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites106
Engineering functional materials through bacteria-assisted living grafting105
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics101
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals98
What are the current bottlenecks in developing and applying CRISPR technologies?87
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition87
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning84
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture82
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?73
Evolutionary paths that link orthogonal pairs of binding proteins71
Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE69
Design, mutate, screen: Multiplexed creation and arrayed screening of synchronized genetic clocks68
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments67
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation65
What differentiates a stress response from responsiveness in general?65
Homeostasis65
The structure of the human cell cycle64
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation63
Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation61
How can concepts from ecology enable insights about cellular communities?59
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks59
The geometry of cell fate58
Dynamics of huntingtin protein interactions in the striatum identifies candidate modifiers of Huntington disease57
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors57
Modeling elucidates context dependence in adipose regulation53
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing52
Mapping combinatorial expression perturbations to growth in Escherichia coli51
The electrostatic landscape of MHC-peptide binding revealed using inception networks50
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden48
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing48
The structure is the message: Preserving experimental context through tensor decomposition45
The metallome and the biological periodic table: A metal atlas in cells43
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors42
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA40
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