Standout Papers

Comprehensive Integration of Single-Cell Data 2015 2026 2018 2022 7.5k
  1. Comprehensive Integration of Single-Cell Data (2019)
    Tim Stuart, Andrew Butler et al. Cell
  2. Integrating single-cell transcriptomic data across different conditions, technologies, and species (2018)
    Andrew Butler, Paul Hoffman et al. Nature Biotechnology
  3. Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets (2015)
    Evan Z. Macosko, Anindita Basu et al. Cell
  4. Spatial reconstruction of single-cell gene expression data (2015)
    Rahul Satija, Jeffrey A. Farrell et al. Nature Biotechnology
  5. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression (2019)
    Christoph Hafemeister, Rahul Satija Genome biology
  6. Simultaneous epitope and transcriptome measurement in single cells (2017)
    Marlon Stoeckius, Christoph Hafemeister et al. Nature Methods
  7. Single-cell RNA sequencing to explore immune cell heterogeneity (2017)
    Efthymia Papalexi, Rahul Satija Nature reviews. Immunology
  8. Dictionary learning for integrative, multimodal and scalable single-cell analysis (2023)
    Yuhan Hao, Tim Stuart et al. Nature Biotechnology
  9. Perturbation of m6A Writers Reveals Two Distinct Classes of mRNA Methylation at Internal and 5′ Sites (2014)
    Schraga Schwartz, Maxwell R. Mumbach et al. Cell Reports
  10. Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells (2013)
    Alex K. Shalek, Rahul Satija et al. Nature
  11. Integrative single-cell analysis (2019)
    Tim Stuart, Rahul Satija Nature Reviews Genetics
  12. Transcriptome-wide Mapping Reveals Widespread Dynamic-Regulated Pseudouridylation of ncRNA and mRNA (2014)
    Schraga Schwartz, Douglas A. Bernstein et al. Cell
  13. Landscape of X chromosome inactivation across human tissues (2017)
    Taru Tukiainen, Alexandra–Chloé Villani et al. Nature
  14. Single-cell chromatin state analysis with Signac (2021)
    Tim Stuart, Avi Srivastava et al. Nature Methods
  15. Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput (2017)
    Todd M. Gierahn, Marc H. Wadsworth et al. Nature Methods
  16. Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics (2018)
    Marlon Stoeckius, Shiwei Zheng et al. Genome biology
  17. High-Resolution Mapping Reveals a Conserved, Widespread, Dynamic mRNA Methylation Program in Yeast Meiosis (2013)
    Schraga Schwartz, Sudeep D. Agarwala et al. Cell
  18. The technological landscape and applications of single-cell multi-omics (2023)
    Alev Baysoy, Zhiliang Bai et al. Nature Reviews Molecular Cell Biology
  19. Comparison and evaluation of statistical error models for scRNA-seq (2022)
    Saket Choudhary, Rahul Satija Genome biology

Immediate Impact

7 by Nobel laureates 87 from Science/Nature 202 standout
Sub-graph 1 of 16

Citing Papers

Effect of the intratumoral microbiota on spatial and cellular heterogeneity in cancer
2022 StandoutNature
Liver tumour immune microenvironment subtypes and neutrophil heterogeneity
2022 StandoutNature

Works of Rahul Satija being referenced

Spatial reconstruction of single-cell gene expression data
2015 Standout
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
2015 Standout

Author Peers

Author Last Decade Papers Cites
Rahul Satija 27535 10715 6787 70 39.1k
Ido Amit 24614 9747 7909 164 38.8k
Sarah A. Teichmann 22836 6249 3665 261 31.3k
Anne J. Ridley 25727 6280 3237 303 43.3k
Peter Smibert 12692 5863 3411 44 18.9k
Alan Hall 31710 5618 2777 160 47.4k
Aravind Subramanian 28779 6994 9687 52 44.4k
Leonard I. Zon 29107 9896 4777 483 48.0k
Avi Ma’ayan 16265 5123 3494 184 28.2k
Keith Burridge 20714 3539 2795 240 39.5k
John S. Condeelis 15814 5515 4601 335 34.0k

All Works

Loading papers...

Rankless by CCL
2026