Jonathan A. Rebhahn

Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch et al. · European Journal of Immunology · 2019 · 993 citations · Full text

Life Sciences, Cell Biology, Immunology +13

Guidelines for the use of flow cytometry and cell sorting in immunological studies ^*

Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch et al. · European Journal of Immunology · 2017 · 552 citations · Full text

Life Sciences, Cell Biology, Immunology +14

T Regulatory and Primed Uncommitted CD4 T Cells Express CD73, Which Suppresses Effector CD4 T Cells by Converting 5′-Adenosine Monophosphate to Adenosine

James J. Kobie, Pranav R. Shah, Yang Li et al. · The Journal of Immunology · 2006 · 453 citations · Full text

Life Sciences, Cell Biology, Immunology +17

SWIFT—scalable clustering for automated identification of rare cell populations in large, high‐dimensional flow cytometry datasets, Part 1: Algorithm design

Iftekhar Naim, Suprakash Datta, Jonathan A. Rebhahn et al. · Cytometry Part A · 2014 · 96 citations · Full text

Life Sciences, Biology, Cell Biology +15

SWIFT—scalable clustering for automated identification of rare cell populations in large, high‐dimensional flow cytometry datasets, Part 2: Biological evaluation

Tim R. Mosmann, Iftekhar Naim, Jonathan A. Rebhahn et al. · Cytometry Part A · 2014 · 96 citations · Full text

Life Sciences, Biostatistics, Cell Biology +16