| Global disparities in SARS-CoV-2 genomic surveillance AF Brito, E Semenova, G Dudas, GW Hassler, CC Kalinich, MUG Kraemer, ... Nature communications 13 (1), 7003, 2022 | 186 | 2022 |
| Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England S Mishra, S Mindermann, M Sharma, C Whittaker, TA Mellan, T Wilton, ... EClinicalMedicine 39, 2021 | 118 | 2021 |
| Track Omicron’s spread with molecular data L Scott, N Hsiao, S Moyo, L Singh, H Tegally, G Dor, P Maes, OG Pybus, ... Science 374 (6574), 1454-1455, 2021 | 105 | 2021 |
| Predicting drug-induced liver injury with Bayesian machine learning DP Williams, SE Lazic, AJ Foster, E Semenova, P Morgan Chemical research in toxicology 33 (1), 239-248, 2019 | 80 | 2019 |
| Determining organ weight toxicity with Bayesian causal models: Improving on the analysis of relative organ weights SE Lazic, E Semenova, DP Williams Scientific Reports 10 (1), 6625, 2020 | 70 | 2020 |
| Assessment of COVID-19 as the underlying cause of death among children and young people aged 0 to 19 years in the US S Flaxman, C Whittaker, E Semenova, T Rashid, RM Parks, A Blenkinsop, ... JAMA Network Open 6 (1), e2253590-e2253590, 2023 | 59 | 2023 |
| Uncertainty quantification in drug design LH Mervin, S Johansson, E Semenova, KA Giblin, O Engkvist Drug discovery today 26 (2), 474-489, 2021 | 59 | 2021 |
| Bayesian workflow for disease transmission modeling in Stan L Grinsztajn, E Semenova, CC Margossian, J Riou Statistics in Medicine, 1-26, 2021 | 47 | 2021 |
| Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals A Brizzi, C Whittaker, LMS Servo, I Hawryluk, CA Prete Jr, WM de Souza, ... Nature medicine 28 (7), 1476-1485, 2022 | 36 | 2022 |
| A Bayesian neural network for toxicity prediction E Semenova, DP Williams, AM Afzal, SE Lazic Computational Toxicology 16, 2020 | 35 | 2020 |
| COVID-19 genomics UK (COG-UK) consortium, changing composition of SARS-CoV-2 lineages and rise of delta variant in England S Mishra, S Mindermann, M Sharma, C Whittaker, TA Mellan, T Wilton, ... EClinicalMedicine 39, 101064, 2021 | 20 | 2021 |
| Introduction to artificial intelligence and machine learning SK Ashenden, A Bartosik, PM Agapow, E Semenova The era of artificial intelligence, machine learning, and data science in …, 2021 | 13 | 2021 |
| Report 46: Factors driving extensive spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals A Brizzi, C Whittaker, LMS Servo, I Hawryluk, CA Prete Jr, WM de Souza, ... Medrxiv, 2021 | 11 | 2021 |
| Dynamic stability of deformable elements of one class of aeroelastic constructions PA Velmisov, AV Ankilov, EP Semenova AIP Conference Proceedings 1789 (1), 2016 | 8 | 2016 |
| PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation E Semenova, Y Xu, A Howes, T Rashid, S Bhatt, S Mishra, S Flaxman Journal of the Royal Society Interface 19 (191), 20220094, 2022 | 7 | 2022 |
| Global disparities in SARS-CoV-2 genomic surveillance. Nat. Commun. 13, 7003 AF Brito, E Semenova, G Dudas, GW Hassler, CC Kalinich, MUG Kraemer, ... | 7 | 2022 |
| COVID-19 Genomics UK (COG-UK) Consortium. 2021. Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England. EClinicalMedicine 39: 101064 S Mishra, S Mindermann, M Sharma, C Whittaker, TA Mellan, T Wilton, ... | 7 | 2021 |
| Covid-19 is a leading cause of death in children and young people ages 0-19 years in the United States S Flaxman, C Whittaker, E Semenova, T Rashid, RM Parks, A Blenkinsop, ... medRxiv, 2022.05. 23.22275458, 2022 | 5 | 2022 |
| Flexible fitting of PROTAC concentration-response curves with changepoint Gaussian Processes E Semenova, ML Guerriero, B Zhang, A Hock, P Hopcroft, G Kadamur, ... SLAS Discovery 26 (9), 1212-1224, 2021 | 5 | 2021 |
| Mathematical modeling of aeroelastic systems PA Velmisov, AV Ankilov, EP Semenova AIP Conference Proceedings 1910 (1), 2017 | 5 | 2017 |
Samir BhattProfessor of Machine Learning and Public Health University of CopenhagenVerified email at sund.ku.dk
