Year 2019: top* 10 papers with the highest R-portion

Topic: Comprehensive Integration of Single-Cell Transcriptomic Data

* The top 5% of entries has been removed to reduce statistical anomalies. Further fine-tuning, filtering, and error cleaning are in progress.

Individual brain organoids reproducibly form cell diversity of the human cerebral cortex

YCR = 2019 / 683 /  21.89 

A single-cell molecular map of mouse gastrulation and early organogenesis

YCR = 2019 / 690 /  21.28 

High-definition spatial transcriptomics for in situ tissue profiling

YCR = 2019 / 735 /  20.77 

EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

YCR = 2019 / 652 /  20.12 

RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types

YCR = 2019 / 608 /  19.99 

Single-cell genomics identifies cell type–specific molecular changes in autism

YCR = 2019 / 626 /  19.61 

A practical guide to linking brain-wide gene expression and neuroimaging data

YCR = 2019 / 460 /  19.14 

Altered human oligodendrocyte heterogeneity in multiple sclerosis

YCR = 2019 / 537 /  18.90 

Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

YCR = 2019 / 599 /  18.80 

Atheroprotective roles of smooth muscle cell phenotypic modulation and the TCF21 disease gene as revealed by single-cell analysis

YCR = 2019 / 513 /  18.53