Cell Systems

Papers
(The H4-Index of Cell Systems is 43. 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 2021-05-01 to 2025-05-01.)
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 responses343
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals221
Approaching deconvolution with Fermi’s mindset176
Seeds of their own destruction: Dominant-negative peptide screening yields functional insight and therapeutic leads159
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics155
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line154
Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma110
A framework for ultra-low-input spatial tissue proteomics96
Pitfalls of genotyping microbial communities with rapidly growing genome collections95
Engineering functional materials through bacteria-assisted living grafting95
Which image-based phenotypes are most promising for using AI to understand cellular functions and why?94
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture93
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning93
Evolutionary paths that link orthogonal pairs of binding proteins83
What are the current bottlenecks in developing and applying CRISPR technologies?83
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments82
Design, mutate, screen: Multiplexed creation and arrayed screening of synchronized genetic clocks80
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?77
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition69
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation66
Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation66
Homeostasis64
What differentiates a stress response from responsiveness in general?62
The structure of the human cell cycle62
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation59
Dynamics of huntingtin protein interactions in the striatum identifies candidate modifiers of Huntington disease58
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors57
A forecast for large-scale, predictive biology: Lessons from meteorology57
How can concepts from ecology enable insights about cellular communities?57
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks56
The geometry of cell fate56
Mapping the multiscale structure of biological systems56
Schrödinger’s What Is Life? at 7555
Modeling elucidates context dependence in adipose regulation54
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing54
Conservation of metabolic regulation by phosphorylation and non-covalent small-molecule interactions53
The structure is the message: Preserving experimental context through tensor decomposition53
The electrostatic landscape of MHC-peptide binding revealed using inception networks51
Mapping combinatorial expression perturbations to growth in Escherichia coli51
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors49
Statistically derived geometrical landscapes capture principles of decision-making dynamics during cell fate transitions47
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing47
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden44
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA43
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