| BEAST 2: a software platform for Bayesian evolutionary analysis R Bouckaert, J Heled, D Kühnert, T Vaughan, CH Wu, D Xie, MA Suchard, ... PLoS Comput Biol 10 (4), e1003537, 2014 | 6620 | 2014 |
| 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 | 3359 | 2019 |
| The effect of human mobility and control measures on the COVID-19 epidemic in China MUG Kraemer, CH Yang, B Gutierrez, CH Wu, B Klein, DM Pigott, ... Science, 2020 | 3248 | 2020 |
| An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China H Tian, Y Liu, Y Li, CH Wu, B Chen, MUG Kraemer, B Li, J Cai, B Xu, ... Science 368 (6491), 638-642, 2020 | 2179 | 2020 |
| Genomics and epidemiology of the P. 1 SARS-CoV-2 lineage in Manaus, Brazil NR Faria, TA Mellan, C Whittaker, IM Claro, DS Candido, S Mishra, ... Science, 2021 | 1597 | 2021 |
| Evolution and epidemic spread of SARS-CoV-2 in Brazil D da Silva Candido, IM Claro, JG de Jesus, WM de Souza, FRR Moreira, ... Science, 2020 | 696 | 2020 |
| Establishment and cryptic transmission of Zika virus in Brazil and the Americas NR Faria, J Quick, IM Claro, J Theze, JG de Jesus, M Giovanetti, ... Nature 546 (7658), 406-410, 2017 | 653 | 2017 |
| Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil WM de Souza, LF Buss, D da Silva Candido, JP Carrera, S Li, ... Nature Human Behaviour, 1-9, 2020 | 477 | 2020 |
| Epidemiological data from the COVID-19 outbreak, real-time case information B Xu, B Gutierrez, S Mekaru, K Sewalk, L Goodwin, A Loskill, EL Cohn, ... Scientific data 7 (1), 106, 2020 | 452 | 2020 |
| Genomic and epidemiological monitoring of yellow fever virus transmission potential NR Faria, MUG Kraemer, S Hill, JG de Jesus, RS de Aguiar, FCM Iani, ... Science 361 (6405), 894-899, 2018 | 317 | 2018 |
| Identifying lineage effects when controlling for population structure improves power in bacterial association studies SG Earle, CH Wu, J Charlesworth, N Stoesser, NC Gordon, TM Walker, ... Nature microbiology 1 (5), 1-8, 2016 | 296 | 2016 |
| Open access epidemiological data from the COVID-19 outbreak B Xu, MUG Kraemer, B Gutierrez, S Mekaru, K Sewalk, A Loskill, L Wang, ... The Lancet Infectious Diseases 20 (5), 534, 2020 | 289 | 2020 |
| New routes to phylogeography: a Bayesian structured coalescent approximation N De Maio, CH Wu, KM O’Reilly, D Wilson PLoS genetics 11 (8), e1005421, 2015 | 255 | 2015 |
| Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning K Sirinukunwattana, E Domingo, SD Richman, KL Redmond, A Blake, ... Gut 70 (3), 544-554, 2021 | 206 | 2021 |
| Evolutionary dynamics of language systems SJ Greenhill, CH Wu, X Hua, M Dunn, SC Levinson, RD Gray Proceedings of the National Academy of Sciences 114 (42), E8822-E8829, 2017 | 183 | 2017 |
| Genomics and epidemiology of a novel SARS-CoV-2 lineage in Manaus NR Faria, TA Mellan, C Whittaker, IM Claro, DS Candido, S Mishra, ... Brazil. medRxiv 2021 (26.21252554), 2021 | 137 | 2021 |
| SCOTTI: efficient reconstruction of transmission within outbreaks with the structured coalescent N De Maio, CH Wu, DJ Wilson PLoS computational biology 12 (9), e1005130, 2016 | 137 | 2016 |
| Severe infections emerge from commensal bacteria by adaptive evolution BC Young, CH Wu, NC Gordon, K Cole, JR Price, E Liu, AE Sheppard, ... elife 6, e30637, 2017 | 118 | 2017 |
| Genomic epidemiology reconstructs the introduction and spread of Zika virus in Central America and Mexico J Thézé, T Li, L Du Plessis, J Bouquet, MUG Kraemer, S Somasekar, G Yu, ... Cell host & microbe 23 (6), 855-864. e7, 2018 | 115 | 2018 |
| Phylogenetic and epidemic modeling of rapidly evolving infectious diseases D Kühnert, CH Wu, AJ Drummond Infection, genetics and evolution 11 (8), 1825-1841, 2011 | 109 | 2011 |
Huaiyu TianDistinguished Professor of Chang Jiang Scholars Program, Beijing Normal UniversityVerified email at bnu.edu.cn
