Brian T. Do
Harvard–MIT Division of Health Sciences and Technology
ORCID: 0000-0003-4992-2623Also affiliated with Massachusetts Institute of Technology
Pilot 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
Papers
Driven by 13 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
Matthew Z. Madden, Melissa M. Wolf, Anna Chytil, Jackie E. Bader, Andrew R. Patterson +27 more
Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more
Yetiş Gültekin, Peter Winter, Sidney Y. Vermeulen, Konstantine Tchourine, Keene L. Abbott +22 more
Ahmed Ali, Dominick Casalena, Brian T. Do, Raphaël Ferreira, Jaime H. Cheah +29 more
Ahmed Ali, Dominick Casalena, Brian T. Do, Raphaël Ferreira, Jaime H. Cheah +25 more
Brian Zhang, Jonah Frazier, Meijuan Chen, Brian T. Do, Sally Padayao +9 more
Peggy P. Hsu, Sidney Y. Vermeulen, Zhishan Wang, Taghreed Hirz, Keene L. Abbott +21 more
Matthew G. Vander Heiden, Brian T. Do
Yiming Guo, Shiyang He, Meijuan Chen, Fei Ji, Xinyue Zhou +16 more
Teemu P. Miettinen, Ryan Elbashir, Christopher S. Nabel, Alicia M. Darnell, Brian T. Do +4 more
Zhaoqi Li, Dan Y. Gui, Lucas B. Sullivan, Maria Zagorulya, Brian T. Do +9 more
MZ Madden, M. Wolf, Anna Chytil, JE Bader, Andrew R. Patterson +26 more