Zheng Su

The paper tracks shifts in atrial fibrillation research using fixed-window citation analysis, showing increased focus on pulsed field ablation and precision risk stratification.

This paper analyzes shifts in early citation trends in cancer genomics and diagnostics using bibliometric and semantic methods, finding increased focus on spatial omics and heterogeneity.

This study uses deep learning to compare human and mouse gene expression across 777K bulk RNA-seq samples, identifying genes with differing functional associations between species.

The paper develops GeneRAIN models trained on bulk RNA-seq data to predict gene attributes, showing they capture biological information beyond gene expression and outperform existing models.

This study identifies six new genetic variants associated with major adverse cardiovascular events in ACS patients on dual antiplatelet therapy and develops a predictive classifier for MACE.