| BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis R Bouckaert, TG Vaughan, J Barido-Sottani, S Duchêne, M Fourment, ... PLoS computational biology 15 (4), e1006650, 2019 | 2037 | 2019 |
| Inference for nonlinear epidemiological models using genealogies and time series DA Rasmussen, O Ratmann, K Koelle PLoS computational biology 7 (8), e1002136, 2011 | 180 | 2011 |
| Sunflower domestication alleles support single domestication center in eastern North America BK Blackman, M Scascitelli, NC Kane, HH Luton, DA Rasmussen, RA Bye, ... Proceedings of the National Academy of Sciences 108 (34), 14360-14365, 2011 | 140 | 2011 |
| A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa EWMGHTJESRLDCDPMDARARNZAKSASOAKSAPASKAMOAOOOAHAAAASAEOOAENAAAFVAKAGAJTAAYAKK ... Science 374 (6566), 423-431, 2021 | 127 | 2021 |
| Phylodynamic inference for structured epidemiological models DA Rasmussen, EM Volz, K Koelle PLoS computational biology 10 (4), e1003570, 2014 | 111 | 2014 |
| Insights into the early epidemic spread of Ebola in Sierra Leone provided by viral sequence data T Stadler, D Kühnert, DA Rasmussen, L du Plessis PLoS currents 6, 2014 | 99 | 2014 |
| Contributions of flowering time genes to sunflower domestication and improvement BK Blackman, DA Rasmussen, JL Strasburg, AR Raduski, JM Burke, ... Genetics 187 (1), 271-287, 2011 | 94 | 2011 |
| One size fits all? Molecular evidence for a commonly inherited petal identity program in Ranunculales DA Rasmussen, EM Kramer, EA Zimmer American Journal of Botany 96 (1), 96-109, 2009 | 93 | 2009 |
| Taming the BEAST—A community teaching material resource for BEAST 2 J Barido-Sottani, V Bošková, LD Plessis, D Kühnert, C Magnus, V Mitov, ... Systematic biology 67 (1), 170-174, 2018 | 89 | 2018 |
| The structured coalescent and its approximations NF Müller, DA Rasmussen, T Stadler Molecular biology and evolution 34 (11), 2970-2981, 2017 | 84 | 2017 |
| MASCOT: parameter and state inference under the marginal structured coalescent approximation NF Müller, D Rasmussen, T Stadler Bioinformatics 34 (22), 3843-3848, 2018 | 72 | 2018 |
| What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly Megaselia scalaris (Phoridae) DA Rasmussen, MAF Noor Bmc Genomics 10 (1), 1-9, 2009 | 72 | 2009 |
| The effects of a deleterious mutation load on patterns of influenza A/H3N2's antigenic evolution in humans K Koelle, DA Rasmussen Elife 4, e07361, 2015 | 69 | 2015 |
| Phylogenetic tools for generalized HIV-1 epidemics: findings from the PANGEA-HIV methods comparison O Ratmann, EB Hodcroft, M Pickles, A Cori, M Hall, S Lycett, C Colijn, ... Molecular biology and evolution 34 (1), 185-203, 2017 | 64 | 2017 |
| Reconciling phylodynamics with epidemiology: the case of dengue virus in southern Vietnam DA Rasmussen, MF Boni, K Koelle Molecular Biology and Evolution 31 (2), 258-271, 2014 | 58 | 2014 |
| Aphid Transmission of Potyvirus: The Largest Plant-Infecting RNA Virus Genus KR Gadhave, S Gautam, DA Rasmussen, R Srinivasan Viruses 12 (7), 773, 2020 | 53 | 2020 |
| Rates of coalescence for common epidemiological models at equilibrium K Koelle, DA Rasmussen Journal of the Royal Society Interface 9 (70), 997-1007, 2012 | 48 | 2012 |
| Estimating epidemic incidence and prevalence from genomic data TG Vaughan, GE Leventhal, DA Rasmussen, AJ Drummond, D Welch, ... Molecular biology and evolution 36 (8), 1804-1816, 2019 | 44 | 2019 |
| Origin, imports and exports of HIV-1 subtype C in South Africa: A historical perspective E Wilkinson, D Rasmussen, O Ratmann, T Stadler, S Engelbrecht, ... Infection, Genetics and Evolution 46, 200-208, 2016 | 31 | 2016 |
| The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance H Tegally, JE San, M Cotten, M Moir, B Tegomoh, G Mboowa, DP Martin, ... Science 378 (6615), eabq5358, 2022 | 27 | 2022 |
Tanja StadlerETH ZurichVerified email at env.ethz.ch
