Enrico Ferrero
ORCID: 0000-0002-8362-100XPilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Indexed papers
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.
Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.
Read the full methodology →Papers
Driven by 5 papers. Top paper: “Opportunities and obstacles for deep learning in biology and medicine”.
Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more
Valeria de Luca, Anna Kostikova, Jason Laramie, Scott Kennedy, Enrico Ferrero +9 more
Zuni I. Bassi, Marco Geymonat, Sofia Todesca, Liviu Copoiu, Anton J. Enright +10 more
Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more
The midbody interactome reveals new unexpected roles for PP1 phosphatases in cytokinesis
Zuni I. Bassi, Marco Geymonat, Sofia Todesca, Liviu Copoiu, Anton Enright +10 more