Nicholas P. Tatonetti
About
Nicholas P. Tatonetti has authored 128 papers that have received a total of 5.6k indexed citations.
This includes 56 papers in Molecular Biology, 29 papers in Computational Theory and Mathematics and 24 papers in Toxicology. The topics of these papers are Computational Drug Discovery Methods (29 papers), Pharmacovigilance and Adverse Drug Reactions (23 papers) and Machine Learning in Healthcare (15 papers). Nicholas P. Tatonetti is often cited by papers focused on Computational Drug Discovery Methods (29 papers), Pharmacovigilance and Adverse Drug Reactions (23 papers) and Machine Learning in Healthcare (15 papers) and collaborates with scholars based in United States, Spain and Germany. Nicholas P. Tatonetti's co-authors include Santiago Vilar, George Hripcsak, Russ B. Altman, Mary Regina Boland and Eugenio Uriarte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.
In The Last Decade
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Jean‐Claude Meunier Breakdown of academic impact, for papers by Stuart B. Piertney Breakdown of academic impact, for papers by Xiaodi Hao Breakdown of academic impact, for papers by He Huang Breakdown of academic impact, for papers by Matt Friedman Breakdown of academic impact, for papers by A M Dawson Breakdown of academic impact, for papers by Michael D. Lebowitz Breakdown of academic impact, for papers by David A. Johnson