Database of host-pathogen and related species interactions, and their global distributionMaya Wardeh, Matthew Baylis, Claire Risley et al.|Scientific Data|2015Cited by 155
Predicting mammalian hosts in which novel coronaviruses can be generatedMaya Wardeh, Marcus S. C. Blagrove, Matthew Baylis|Nature Communications|2021Cited by 79
Distinct spread of DNA and RNA viruses among mammals amid prominent role of domestic speciesKonstans Wells, Matthew Baylis, Sergé Morand et al.|Global Ecology and Biogeography|2019Cited by 68
Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associationsMaya Wardeh, Matthew Baylis, Marcus S. C. Blagrove et al.|Nature Communications|2021Cited by 44
Integration of shared-pathogen networks and machine learning reveals the key aspects of zoonoses and predicts mammalian reservoirsMaya Wardeh, Matthew Baylis, Kieran J. Sharkey|Proceedings of the Royal Society B Biological Sciences|2020Cited by 42