Latest Research in RNA Research and Splicing
16 research papers · 0.2 average citations · 2026 median publication year
Top Research Topics in RNA Research and Splicing
- Cellular Mechanics and Interactions — 3 papers
- RNA Research and Splicing — 2 papers
- CRISPR and Genetic Engineering — 1 papers
- Nuclear Structure and Function — 1 papers
- Telomeres, Telomerase, and Senescence — 1 papers
- Microtubule and mitosis dynamics — 1 papers
- Pluripotent Stem Cells Research — 1 papers
- Genetic Mapping and Diversity in Plants and Animals — 1 papers
- Neuroscience and Neuropharmacology Research — 1 papers
- Lipid Membrane Structure and Behavior — 1 papers
Highest-Cited Papers
- Modulating splicing in 5ʹ untranslated regions to treat rare haploinsufficient disease
- Whole genome duplication through mitotic slippage causes nuclear instability
- Telomeres in mitosis: organization and dynamics
- The TUBG meshwork is associated with centromere dynamics and micronuclear organization
- Target-Site Selection by Transcription Factors: Roles of DNA, Chromatin, and Cofactor-Mediated Regulation
- Estimating cis and trans contributions to differences in gene regulation
- Biophysical characterization of Arc protein-RNA interactions
- Phase Separation of SF3B1 Serves as a Critical Post‐Transcriptional Regulator During Early Mouse Embryogenesis
- Tissue flow acts as a guidance cue for immune cell polarization and directional migration
- Geometry‐dependent migration dynamics of fibroblasts on ECM protein micropatterns
- Perplexity as a metric for isoform diversity in the human transcriptome (3 citations)
- Cis glycan–glycan interactions organize membrane nanodomains that tune receptor signaling
- Tracking cell fate through morphodynamics
- Predictive design of tissue-specific mammalian enhancers that function in the mouse embryo
- Extracellular vesicles in COVID-19 and long COVID: Structural mediators of viral persistence and immune dysfunction
- NECROGENESIS: A Pre-Registered Pilot Study Using Cross-Tissue Gene Regulatory Network Inference to Identify Candidate Age-Associated Regulators, with an Extension of the CYTOS Tree-Tensor-Network-vs-Graph-Neural-Network Framework to Single-Cell Aging