Cell Systems

Papers
(The H4-Index of Cell Systems is 35. 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 2022-08-01 to 2026-08-01.)
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 responses425
Statistical modeling and analysis of cell counts from multiplexed imaging data210
Engineering functional materials through bacteria-assisted living grafting132
A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals128
Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics117
A combinatorial transcription factor screening platform for immune cell reprogramming116
Probing enzyme-dependent pseudouridylation using direct RNA sequencing to assess epitranscriptome plasticity in a neuronal cell line112
Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identification99
Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites91
A data-driven modeling framework for mapping genotypes to synthetic microbial community functions88
Pitfalls of genotyping microbial communities with rapidly growing genome collections67
A framework for ultra-low-input spatial tissue proteomics61
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?60
Context-informed subgraph foundation models enable interpretable protein-function prediction57
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition55
What are the current bottlenecks in developing and applying CRISPR technologies?53
Diclofenac and acetaminophen dim the acute-phase response but amplify expression of the iron regulator hepcidin in liver cancer cells53
Evolutionary paths that link orthogonal pairs of binding proteins51
Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture49
Identifying maximally informative signal-aware representations of single-cell data using the information bottleneck49
Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation48
Emerging approaches for characterizing spatial and temporal dynamics of pathogen-induced organelle remodeling46
Integrative, high-resolution analysis of single-cell gene expression across experimental conditions with PARAFAC2-RISE45
From modality-specific to compositional foundation models for cell biology45
Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning44
Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks43
A bipartite function of ESRRB can integrate signaling over time to balance self-renewal and differentiation43
Quantifying protein unfolding kinetics with a high-throughput microfluidic platform43
Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors40
How can concepts from ecology enable insights about cellular communities?39
The electrostatic landscape of MHC-peptide binding revealed using inception networks37
Rugged fitness landscapes minimize promiscuity in the evolution of transcriptional repressors36
Modeling elucidates context dependence in adipose regulation36
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing36
Translation elongation as a rate-limiting step of protein production35
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