Rahul Satija
Molecular Biology · 2006–2023
A researcher in the Science corpus: 29 papers; trusts 99 researchers and is trusted by 63 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 721 citations into it; #510 of 17,773 by trust here, #276 by citations
- Cancer Research — 165 citations into it; #678 of 1,780 by trust here, #203 by citations
- Immunology — 135 citations into it; #616 of 2,160 by trust here, #151 by citations
- Biophysics — 124 citations into it
- Genetics — 120 citations into it
- Biomedical Engineering — 30 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Computational Biology & Bioinformatics — 21 citations into it
Whom Rahul Satija trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Aaron T. L. Lun
- Christoph Hafemeister
- Gordon K. Smyth
- Leland McInnes
- Valentine Svensson
- A. Shalek
- John D. Storey
- Marlon Stoeckius
- Dominic Grün
Who trusts Rahul Satija overall
- Tim Stuart
- Luke Zappia
- Valentine Svensson
- Cole Trapnell
- F. Alexander Wolf
- Serena Liu
- Andrew W. Butler
- Emma Pierson
- Christoph Hafemeister
- Zixuan Cang
Papers from Rahul Satija's perspective
Ordered by how strongly the researchers Rahul Satija trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
- Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- Fast unfolding of communities in large networks
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
Their papers
- Comprehensive integration of single-cell data (2018) — 13,024 citations
- Spatial reconstruction of single-cell gene expression (2015) — 5,883 citations
- The Human Cell Atlas (2017) — 1,788 citations
- Single cell RNA Seq reveals dynamic paracrine control of cellular variation (2014) — 990 citations
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells (2013) — 1,193 citations
- Integrating single-cell transcriptomic data across different conditions, technologies, and species (2018) — 10,784 citations
- Large-scale simultaneous measurement of epitopes and transcriptomes in single cells (2017) — 2,234 citations
- Dictionary learning for integrative, multimodal, and massively scalable single-cell analysis (2022) — 3,442 citations
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets (2015) — 6,545 citations
- Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression (2019) — 3,813 citations
- Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma (2016) — 1,053 citations
- Integrated analysis of multimodal single-cell data (2020) — 12,409 citations
- Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics (2018) — 899 citations
- Seq-Well: A Portable, Low-Cost Platform for High-Throughput Single-Cell RNA-Seq of Low-Input Samples (2017) — 702 citations
- Developmental diversification of cortical inhibitory interneurons (2017) — 431 citations
- Perturbation of m6A writers reveals two distinct classes of mRNA methylation at internal and 5' sites. (2014) — 1,109 citations
- Integrative single-cell analysis (2019) — 1,320 citations
- Single-cell chromatin state analysis with Signac (2021) — 1,363 citations
- Transcriptome-wide mapping reveals widespread dynamic regulated pseudouridylation of ncRNA and mRNA (2014) — 934 citations
- Landscape of X chromosome inactivation across human tissues (2016) — 943 citations