Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Robert C Green, M.D.

Co-Author

This page shows the publications co-authored by Robert Green and Richard Kaufman.
Connection Strength

0.272
  1. Lane WJ, Gleadall NS, Aeschlimann J, Vege S, Sanchis-Juan A, Stephens J, Sullivan JC, Mah HH, Aguad M, Smeland-Wagman R, Lebo MS, Vijay Kumar PK, Kaufman RM, Green RC, Ouwehand WH, Westhoff CM. Multiple GYPB gene deletions associated with the U- phenotype in those of African ancestry. Transfusion. 2020 Jun; 60(6):1294-1307.
    View in: PubMed
    Score: 0.061
  2. Lane WJ, Vege S, Mah HH, Lomas-Francis C, Aguad M, Smeland-Wagman R, Koch C, Killian JM, Gardner CL, De Castro M, Lebo MS, Kaufman RM, Green RC, Westhoff CM. Automated typing of red blood cell and platelet antigens from whole exome sequences. Transfusion. 2019 10; 59(10):3253-3263.
    View in: PubMed
    Score: 0.058
  3. Lane WJ, Aguad M, Smeland-Wagman R, Vege S, Mah HH, Joseph A, Blout CL, Nguyen TT, Lebo MS, Sidhu M, Lomas-Francis C, Kaufman RM, Green RC, Westhoff CM. A whole genome approach for discovering the genetic basis of blood group antigens: independent confirmation for P1 and Xga. Transfusion. 2019 03; 59(3):908-915.
    View in: PubMed
    Score: 0.055
  4. Lane WJ, Westhoff CM, Gleadall NS, Aguad M, Smeland-Wagman R, Vege S, Simmons DP, Mah HH, Lebo MS, Walter K, Soranzo N, Di Angelantonio E, Danesh J, Roberts DJ, Watkins NA, Ouwehand WH, Butterworth AS, Kaufman RM, Rehm HL, Silberstein LE, Green RC. Automated typing of red blood cell and platelet antigens: a whole-genome sequencing study. Lancet Haematol. 2018 Jun; 5(6):e241-e251.
    View in: PubMed
    Score: 0.053
  5. Lane WJ, Westhoff CM, Uy JM, Aguad M, Smeland-Wagman R, Kaufman RM, Rehm HL, Green RC, Silberstein LE. Comprehensive red blood cell and platelet antigen prediction from whole genome sequencing: proof of principle. Transfusion. 2016 Mar; 56(3):743-54.
    View in: PubMed
    Score: 0.045
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.