| Eleven grand challenges in single-cell data science D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... Genome biology 21 (1), 31, 2020 | 1436 | 2020 |
| Discovering highly potent antimicrobial peptides with deep generative model HydrAMP P Szymczak, M Możejko, T Grzegorzek, R Jurczak, M Bauer, D Neubauer, ... Nature Communications 14 (1), 1453, 2023 | 165 | 2023 |
| ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning Ł Rączkowski, M Możejko, J Zambonelli, E Szczurek Scientific Reports 9 (14347), 2019 | 149 | 2019 |
| A look into the future of the COVID-19 pandemic in Europe: an expert consultation EN Iftekhar, V Priesemann, R Balling, S Bauer, P Beutels, AC Valdez, ... The Lancet Regional Health–Europe 8, 2021 | 145 | 2021 |
| An action plan for pan-European defence against new SARS-CoV-2 variants V Priesemann, R Balling, MM Brinkmann, S Ciesek, T Czypionka, ... The Lancet 397 (10273), 469-470, 2021 | 126 | 2021 |
| Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ... Elife 12, e81916, 2023 | 113 | 2023 |
| Modeling mutual exclusivity of cancer mutations E Szczurek, N Beerenwinkel PLoS computational biology 10 (3), e1003503, 2014 | 101 | 2014 |
| Calling for pan-European commitment for rapid and sustained reduction in SARS-CoV-2 infections V Priesemann, MM Brinkmann, S Ciesek, S Cuschieri, T Czypionka, ... The lancet 397 (10269), 92-93, 2021 | 99 | 2021 |
| TiMEx: a waiting time model for mutually exclusive cancer alterations S Constantinescu, E Szczurek, P Mohammadi, J Rahnenführer, ... Bioinformatics 32 (7), 968-975, 2016 | 88 | 2016 |
| Predicting cancer type from tumour DNA signatures KP Soh, E Szczurek, T Sakoparnig, N Beerenwinkel Genome medicine 9 (1), 104, 2017 | 77 | 2017 |
| Mitigation and herd immunity strategy for COVID-19 is likely to fail B Adamik, M Bawiec, V Bezborodov, W Bock, M Bodych, JP Burgard, ... MedRxiv, 2020.03. 25.20043109, 2020 | 68 | 2020 |
| Artificial intelligence-driven antimicrobial peptide discovery P Szymczak, E Szczurek Current Opinion in Structural Biology 83, 102733, 2023 | 66 | 2023 |
| Risk assessment of COVID-19 epidemic resurgence in relation to SARS-CoV-2 variants and vaccination passes T Krueger, K Gogolewski, M Bodych, A Gambin, G Giordano, S Cuschieri, ... Communications Medicine 2 (1), 23, 2022 | 58 | 2022 |
| Towards a European strategy to address the COVID-19 pandemic V Priesemann, R Balling, S Bauer, P Beutels, AC Valdez, S Cuschieri, ... The Lancet 398 (10303), 838-839, 2021 | 57 | 2021 |
| Feature selection strategies for drug sensitivity prediction K Koras, D Juraeva, J Kreis, J Mazur, E Staub, E Szczurek Scientific reports 10 (1), 9377, 2020 | 54 | 2020 |
| Simultaneous analysis of large-scale RNAi screens for pathogen entry P Rämö, A Drewek, C Arrieumerlou, N Beerenwinkel, H Ben-Tekaya, ... BMC genomics 15 (1), 1162, 2014 | 54 | 2014 |
| gespeR: a statistical model for deconvoluting off-target-confounded RNA interference screens F Schmich, E Szczurek, S Kreibich, S Dilling, D Andritschke, A Casanova, ... Genome biology 16 (1), 220, 2015 | 43 | 2015 |
| Inferring the paths of somatic evolution in cancer N Misra, E Szczurek, M Vingron Bioinformatics 30 (17), 2456-2463, 2014 | 43 | 2014 |
| Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers A Jankowski, E Szczurek, R Jauch, J Tiuryn, S Prabhakar Genome research 23 (8), 1307-1318, 2013 | 43 | 2013 |
| CONET: copy number event tree model of evolutionary tumor history for single-cell data M Markowska, T Cąkała, B Miasojedow, B Aybey, D Juraeva, J Mazur, ... Genome Biology 23 (1), 128, 2022 | 37 | 2022 |
Niko BeerenwinkelProfessor of Computational Biology, ETH ZurichVerified email at bsse.ethz.ch
