| SC3: consensus clustering of single-cell RNA-seq data VY Kiselev, K Kirschner, MT Schaub, T Andrews, A Yiu, T Chandra, ... Nature methods 14 (5), 483-486, 2017 | 1308 | 2017 |
| SC3: consensus clustering of single-cell RNA-seq data VY Kiselev, K Kirschner, MT Schaub, T Andrews, A Yiu, T Chandra, ... Nature methods 14 (5), 483-486, 2017 | 1308 | 2017 |
| Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells F Buettner, KN Natarajan, FP Casale, V Proserpio, A Scialdone, FJ Theis, ... Nature biotechnology 33 (2), 155-160, 2015 | 1213 | 2015 |
| Power analysis of single-cell RNA-sequencing experiments V Svensson, KN Natarajan, LH Ly, RJ Miragaia, C Labalette, IC Macaulay, ... Nature methods 14 (4), 381-387, 2017 | 583 | 2017 |
| Single cell RNA-sequencing of pluripotent states unlocks modular transcriptional variation AA Kolodziejczyk, JK Kim, JCH Tsang, T Ilicic, J Henriksson, ... Cell stem cell 17 (4), 471-485, 2015 | 555 | 2015 |
| Computational assignment of cell-cycle stage from single-cell transcriptome data A Scialdone, KN Natarajan, LR Saraiva, V Proserpio, SA Teichmann, ... Methods 85, 54-61, 2015 | 377 | 2015 |
| BioModels: ten-year anniversary V Chelliah, N Juty, I Ajmera, R Ali, M Dumousseau, M Glont, M Hucka, ... Nucleic acids research 43 (D1), D542-D548, 2015 | 321 | 2015 |
| Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression ASE Cuomo, DD Seaton, DJ McCarthy, I Martinez, MJ Bonder, ... Nature communications 11 (1), 810, 2020 | 228 | 2020 |
| The Malaria Cell Atlas: Single parasite transcriptomes across the complete Plasmodium life cycle VM Howick, AJC Russell, T Andrews, H Heaton, AJ Reid, K Natarajan, ... Science 365 (6455), eaaw2619, 2019 | 210 | 2019 |
| SBML Level 3: an extensible format for the exchange and reuse of biological models SM Keating, D Waltemath, M König, F Zhang, A Dräger, C Chaouiya, ... Molecular systems biology 16 (8), e9110, 2020 | 204 | 2020 |
| A rapid and robust method for single cell chromatin accessibility profiling X Chen, RJ Miragaia, KN Natarajan, SA Teichmann Nature communications 9 (1), 5345, 2018 | 186 | 2018 |
| Comparative analysis of sequencing technologies for single-cell transcriptomics KN Natarajan, Z Miao, M Jiang, X Huang, H Zhou, J Xie, C Wang, S Qin, ... Genome Biology 20, 1-8, 2019 | 94 | 2019 |
| Transcriptional dynamics of hepatic sinusoid‐associated cells after liver injury MK Terkelsen, SM Bendixen, D Hansen, EAH Scott, AF Moeller, ... Hepatology 72 (6), 2119-2133, 2020 | 76 | 2020 |
| Genome-wide analyses reveal the IRE1a-XBP1 pathway promotes T helper cell differentiation by resolving secretory stress and accelerating proliferation J Pramanik, X Chen, G Kar, J Henriksson, T Gomes, JE Park, K Natarajan, ... Genome medicine 10, 1-19, 2018 | 75 | 2018 |
| Flipping between Polycomb repressed and active transcriptional states introduces noise in gene expression G Kar, JK Kim, AA Kolodziejczyk, KN Natarajan, E Torlai Triglia, B Mifsud, ... Nature communications 8 (1), 36, 2017 | 74 | 2017 |
| Single-cell transcriptomics identifies CD44 as a marker and regulator of endothelial to haematopoietic transition M Oatley, ÖV Bölükbası, V Svensson, M Shvartsman, K Ganter, K Zirngibl, ... Nature communications 11 (1), 586, 2020 | 73 | 2020 |
| Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation V Proserpio, A Piccolo, L Haim-Vilmovsky, G Kar, T Lönnberg, ... Genome biology 17, 1-15, 2016 | 67 | 2016 |
| Distinctive features of lincRNA gene expression suggest widespread RNA-independent functions AC Tuck, KN Natarajan, GM Rice, J Borawski, F Mohn, A Rankova, ... Life science alliance 1 (4), 2018 | 39 | 2018 |
| The systems biology format converter N Rodriguez, JB Pettit, P Dalle Pezze, L Li, A Henry, MP van Iersel, ... BMC bioinformatics 17, 1-7, 2016 | 33 | 2016 |
| TENET: gene network reconstruction using transfer entropy reveals key regulatory factors from single cell transcriptomic data J Kim, S T. Jakobsen, KN Natarajan, KJ Won Nucleic acids research 49 (1), e1-e1, 2021 | 32 | 2021 |
