Cell Systems

Papers
(The H4-Index of Cell Systems is 38. 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 2021-09-01 to 2025-09-01.)
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 responses236
Statistical modeling and analysis of cell counts from multiplexed imaging data173
Approaching deconvolution with Fermi’s mindset126
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics123
Engineering functional materials through bacteria-assisted living grafting115
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line106
A framework for ultra-low-input spatial tissue proteomics103
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals101
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites89
What are the current bottlenecks in developing and applying CRISPR technologies?87
Pitfalls of genotyping microbial communities with rapidly growing genome collections87
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture85
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments76
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation74
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?73
Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE73
Design, mutate, screen: Multiplexed creation and arrayed screening of synchronized genetic clocks70
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning69
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition68
Homeostasis67
Evolutionary paths that link orthogonal pairs of binding proteins67
What differentiates a stress response from responsiveness in general?64
The structure of the human cell cycle63
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation62
How can concepts from ecology enable insights about cellular communities?60
Dynamics of huntingtin protein interactions in the striatum identifies candidate modifiers of Huntington disease59
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks58
Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation54
The geometry of cell fate52
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors51
Modeling elucidates context dependence in adipose regulation49
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing48
The electrostatic landscape of MHC-peptide binding revealed using inception networks46
The metallome and the biological periodic table: A metal atlas in cells43
Deciphering tumor ecosystems at super resolution from spatial transcriptomics with TESLA43
Redesign of an Escherichia coli Nissle treatment for phenylketonuria using insulated genomic landing pads and genetic circuits to reduce burden41
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors40
Mapping combinatorial expression perturbations to growth in Escherichia coli40
Statistically derived geometrical landscapes capture principles of decision-making dynamics during cell fate transitions38
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