| SCANPY: large-scale single-cell gene expression data analysis FA Wolf, P Angerer, FJ Theis Genome biology 19, 1-5, 2018 | 5258 | 2018 |
| SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes W Sungnak, N Huang, C Bécavin, M Berg, R Queen, M Litvinukova, ... Nature medicine 26 (5), 681-687, 2020 | 2795 | 2020 |
| 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 181 (5), 1016-1035. e19, 2020 | 2419 | 2020 |
| The human cell atlas A Regev, SA Teichmann, ES Lander, I Amit, C Benoist, E Birney, ... elife 6, e27041, 2017 | 2130 | 2017 |
| Generalizing RNA velocity to transient cell states through dynamical modeling V Bergen, M Lange, S Peidli, FA Wolf, FJ Theis Nature biotechnology 38 (12), 1408-1414, 2020 | 1888 | 2020 |
| Current best practices in single‐cell RNA‐seq analysis: a tutorial MD Luecken, FJ Theis Molecular systems biology 15 (6), e8746, 2019 | 1764 | 2019 |
| An atlas of genetic influences on human blood metabolites SY Shin, EB Fauman, AK Petersen, J Krumsiek, R Santos, J Huang, ... Nature genetics 46 (6), 543-550, 2014 | 1378 | 2014 |
| Severe COVID-19 is marked by a dysregulated myeloid cell compartment J Schulte-Schrepping, N Reusch, D Paclik, K Baßler, S Schlickeiser, ... Cell 182 (6), 1419-1440. e23, 2020 | 1329 | 2020 |
| 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 | 1259 | 2015 |
| Diffusion pseudotime robustly reconstructs lineage branching L Haghverdi, M Büttner, FA Wolf, F Buettner, FJ Theis Nature methods 13 (10), 845-848, 2016 | 1239 | 2016 |
| PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells FA Wolf, FK Hamey, M Plass, J Solana, JS Dahlin, B Göttgens, ... Genome biology 20, 1-9, 2019 | 1206 | 2019 |
| Eleven grand challenges in single-cell data science D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... Genome biology 21, 1-35, 2020 | 1044 | 2020 |
| Deep learning: new computational modelling techniques for genomics G Eraslan, Ž Avsec, J Gagneur, FJ Theis Nature Reviews Genetics 20 (7), 389-403, 2019 | 1026 | 2019 |
| Single-cell RNA-seq denoising using a deep count autoencoder G Eraslan, LM Simon, M Mircea, NS Mueller, FJ Theis Nature communications 10 (1), 390, 2019 | 906 | 2019 |
| Genome-wide association analyses identify 18 new loci associated with serum urate concentrations A Köttgen, E Albrecht, A Teumer, V Vitart, J Krumsiek, C Hundertmark, ... Nature genetics 45 (2), 145-154, 2013 | 892 | 2013 |
| A cellular census of human lungs identifies novel cell states in health and in asthma FA Vieira Braga, G Kar, M Berg, OA Carpaij, K Polanski, LM Simon, ... Nature medicine 25 (7), 1153-1163, 2019 | 778 | 2019 |
| Benchmarking atlas-level data integration in single-cell genomics MD Luecken, M Büttner, K Chaichoompu, A Danese, M Interlandi, ... Nature methods 19 (1), 41-50, 2022 | 679 | 2022 |
| Diffusion maps for high-dimensional single-cell analysis of differentiation data L Haghverdi, F Buettner, FJ Theis Bioinformatics 31 (18), 2989-2998, 2015 | 657 | 2015 |
| Swarm learning for decentralized and confidential clinical machine learning S Warnat-Herresthal, H Schultze, KL Shastry, S Manamohan, ... Nature 594 (7862), 265-270, 2021 | 656 | 2021 |
| Hypergraphs and cellular networks S Klamt, UU Haus, F Theis PLoS computational biology 5 (5), e1000385, 2009 | 596 | 2009 |
Jan KrumsiekWeill Cornell MedicineVahvistettu sähköpostiosoite verkkotunnuksessa med.cornell.edu
