| Global trends in antimicrobial resistance in animals in low-and middle-income countries TP Van Boeckel, J Pires, R Silvester, C Zhao, J Song, NG Criscuolo, ... Science 365 (6459), eaaw1944, 2019 | 993 | 2019 |
| Twenty-year trends in antimicrobial resistance from aquaculture and fisheries in Asia D Schar, C Zhao, Y Wang, DG Larsson, M Gilbert, TP Van Boeckel Nature Communications 12 (1), 1-10, 2021 | 156 | 2021 |
| Development of a fast and sensitive method for measuring multiple neonicotinoid insecticide residues in soil and the application in parks and residential areas Y Zhou, X Lu, X Fu, B Yu, D Wang, C Zhao, Q Zhang, Y Tan, X Wang Analytica chimica acta 1016, 19-28, 2018 | 57 | 2018 |
| icumonitoring. ch: a platform for short-term forecasting of intensive care unit occupancy during the COVID-19 epidemic in Switzerland C Zhao, B Tepekule, NG Criscuolo, PD Wendel-Garcia, MP Hilty, ... Swiss medical weekly 150, w20277, 2020 | 36 | 2020 |
| Biotic homogenization, lower soil fungal diversity and fewer rare taxa in arable soils across Europe S Banerjee, C Zhao, G Garland, A Edlinger, P García-Palacios, ... Nature Communications 15 (1), 327, 2024 | 23 | 2024 |
| Geographically targeted surveillance of livestock could help prioritize intervention against antimicrobial resistance in China C Zhao, Y Wang, K Tiseo, J Pires, NG Criscuolo, TP Van Boeckel Nature Food 2 (8), 596-602, 2021 | 21 | 2021 |
| Global surveillance of antimicrobial resistance in food animals using priority drugs maps C Zhao, Y Wang, R Mulchandani, TP Van Boeckel nature communications 15 (1), 763, 2024 | 19 | 2024 |
| A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics R Delli Compagni, Z Cheng, S Russo, TP Van Boeckel PloS one 17 (3), e0263789, 2022 | 18 | 2022 |
| Criscuolo,... Laxminarayan, R.(2019) TP Van Boeckel, J Pires, R Silvester, C Zhao, J Song Global trends in antimicrobial resistance in animals in low-and middle …, 0 | 15 | |
| resistancebank. org, an open-access repository for surveys of antimicrobial resistance in animals NG Criscuolo, J Pires, C Zhao, TP Van Boeckel Scientific Data 8 (1), 1-10, 2021 | 13 | 2021 |
| Mapping Global Bushmeat Activities to Improve Zoonotic Spillover Surveillance by Using Geospatial Modeling S Jagadesh, C Zhao, R Mulchandani, TP Van Boeckel Emerging Infectious Diseases 29 (4), 742, 2023 | 9 | 2023 |
| Predictive Mapping of Antimicrobial Resistance for Escherichia coli, Salmonella, and Campylobacter in Food-Producing Animals, Europe, 2000–2021 R Mulchandani, C Zhao, K Tiseo, J Pires, TP Van Boeckel Emerging Infectious Diseases 30 (1), 96, 2024 | 3 | 2024 |
| Using priorities between human and livestock bacterial antimicrobial resistance (AMR) to identify data gaps in livestock AMR surveillance N Venkateswaran, LR Swetschinski, C Fastl, CD Bari, NG Criscuolo, ... BMC Infectious Diseases 24 (1), 1-11, 2024 | 1 | 2024 |
| A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective EA Le Rutte, AJ Shattock, C Zhao, S Jagadesh, M Balać, SA Müller, ... Epidemics 46, 100734, 2024 | | 2024 |
| Geospatial and disease dynamics modelling against infectious diseases: antimicrobial resistance and COVID-19 C Zhao ETH Zurich, 2024 | | 2024 |
| R09. 5 Antimicrobial resistance in food animals: priority drugs maps to guide global surveillance C Zhao, Y Wang, R Mulchandani, T Van Boeckel GeoVet 2023 International Conference, 2023 | | 2023 |
| P10. 2 Beyond mapping hotspots: using geospatial models to guide surveillance against antimicrobial resistance in animals. T Van Boeckel, C Zhao GeoVet 2023 International Conference, 2023 | | 2023 |
| Bacterial Antimicrobial Resistance: Data Gaps and Relationships between Human and Animal Resistance N Venkateswaran, LR Swetschinski, C Fastl, C Di Bari, NG Criscuolo, ... | | |
