| Using Bayesian networks to analyze expression data N Friedman, M Linial, I Nachman, D Pe'er Journal of computational biology 7 (3-4), 601-620, 2000 | 4113 | 2000 |
| Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data E Segal, M Shapira, A Regev, D Pe'er, D Botstein, D Koller, N Friedman Nature genetics 34 (2), 166-176, 2003 | 2011 | 2003 |
| Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum SC Bendall, EF Simonds, P Qiu, DA El-ad, PO Krutzik, R Finck, ... Science 332 (6030), 687-696, 2011 | 1731 | 2011 |
| Causal protein-signaling networks derived from multiparameter single-cell data K Sachs, O Perez, D Pe'er, DA Lauffenburger, GP Nolan Science 308 (5721), 523-529, 2005 | 1576 | 2005 |
| viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia ED Amir, KL Davis, MD Tadmor, EF Simonds, JH Levine, SC Bendall, ... Nature biotechnology 31 (6), 545-552, 2013 | 983 | 2013 |
| Learning Bayesian network structure from massive datasets: The" sparse candidate" algorithm N Friedman, I Nachman, D Pe'er arXiv preprint arXiv:1301.6696, 1999 | 765 | 1999 |
| Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis JH Levine, EF Simonds, SC Bendall, KL Davis, DA El-ad, MD Tadmor, ... Cell 162 (1), 184-197, 2015 | 741 | 2015 |
| Inferring subnetworks from perturbed expression profiles D Pe’er, A Regev, G Elidan, N Friedman Bioinformatics 17 (suppl_1), S215-S224, 2001 | 714 | 2001 |
| Science forum: the human cell atlas A Regev, SA Teichmann, ES Lander, I Amit, C Benoist, E Birney, ... Elife 6, e27041, 2017 | 690 | 2017 |
| Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development SC Bendall, KL Davis, ED Amir, MD Tadmor, EF Simonds, TJ Chen, ... Cell 157 (3), 714-725, 2014 | 627 | 2014 |
| An integrated approach to uncover drivers of cancer UD Akavia, O Litvin, J Kim, F Sanchez-Garcia, D Kotliar, HC Causton, ... Cell 143 (6), 1005-1017, 2010 | 472 | 2010 |
| Toward understanding and exploiting tumor heterogeneity AA Alizadeh, V Aranda, A Bardelli, C Blanpain, C Bock, C Borowski, ... Nature medicine 21 (8), 846, 2015 | 457 | 2015 |
| Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade SC Wei, JH Levine, AP Cogdill, Y Zhao, NAAS Anang, MC Andrews, ... Cell 170 (6), 1120-1133. e17, 2017 | 443 | 2017 |
| SARS-CoV-2 receptor ACE2 is an interferon-stimulated gene in human airway epithelial cells and is detected in specific cell subsets across tissues CGK Ziegler, SJ Allon, SK Nyquist, IM Mbano, VN Miao, CN Tzouanas, ... Cell, 2020 | 435 | 2020 |
| Innate immune landscape in early lung adenocarcinoma by paired single-cell analyses Y Lavin, S Kobayashi, A Leader, ED Amir, N Elefant, C Bigenwald, ... Cell 169 (4), 750-765. e17, 2017 | 415 | 2017 |
| Wishbone identifies bifurcating developmental trajectories from single-cell data M Setty, MD Tadmor, S Reich-Zeliger, O Angel, TM Salame, P Kathail, ... Nature biotechnology 34 (6), 637-645, 2016 | 412 | 2016 |
| Single-cell Map of Diverse Immune Phenotypes Driven by the Tumor Microenvironment E Azizi, AJ Carr, G Plitas, AE Cornish, C Konopacki, S Prabhakaran, ... bioRxiv, 221994, 2018 | 401* | 2018 |
| Single-cell map of diverse immune phenotypes in the breast tumor microenvironment E Azizi, AJ Carr, G Plitas, AE Cornish, C Konopacki, S Prabhakaran, ... Cell 174 (5), 1293-1308. e36, 2018 | 399 | 2018 |
| Normalization of mass cytometry data with bead standards R Finck, EF Simonds, A Jager, S Krishnaswamy, K Sachs, W Fantl, ... Cytometry Part A 83 (5), 483-494, 2013 | 383 | 2013 |
| Recovering gene interactions from single-cell data using data diffusion D Van Dijk, R Sharma, J Nainys, K Yim, P Kathail, AJ Carr, C Burdziak, ... Cell 174 (3), 716-729. e27, 2018 | 366 | 2018 |
Garry NolanProfessor of Microbiology and Immunology, Stanford UniversityVerified email at stanford.edu
