Nima Aghaeepour - Concepedia

Author

Nima Aghaeepour

Also Known As

Aghaeepour, Nima, Angst, Martin S, David K. Stevenson, Gary Shaw, N. Aghaeepour, NIMA AGHAEEPOUR, Nima Aghaeepour, Nizar, Ambreen, Patricia Diaz-Gimeno, Price, Joan T.

301

Publications

9.3K

Citations

H-Index

151

Concepts

All Affiliations

Stanford University Stanford Medicine University of California, San Francisco University of British Columbia BC Cancer Agency

About

Nima Aghaeepour is an author at Stanford University specializing in medicine, public health, and cell biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	20	22	2.9K
2	Public Health	11	12	1K
3	Engineering	6	6	292
4	Health Sciences	4	4	1.4K
5	Business	1	1	14

Nima Aghaeepour

108

Publications

7.7K

Citations

H-Index

Page 1

	Year	Citations
Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) Andrea Cossarizza, Hyun‐Dong Chang, Andreas Radbruch, European Journal of Immunology Laboratory ImmunologyImmunologyPathologyImmunophenotypingImmune System	2019	965
Critical assessment of automated flow cytometry data analysis techniques Nima Aghaeepour, Greg Finak, Holger H. Hoos, Nature Methods	2013	603
An immune clock of human pregnancy Nima Aghaeepour, Edward A. Ganio, David R. McIlwain, Science Immunology InflammationMaternal ImmunizationImmune AdaptationsImmune ClockImmunology	2017	498
Hematopoietic Stem Cell Subtypes Expand Differentially during Development and Display Distinct Lymphopoietic Programs Claudia Benz, Michael R. Copley, David G. Kent, Cell stem cell Developmental BiologyLymphocyte DevelopmentMedicineStem Cell MobilizationHematology	2012	318
Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium Greg Finak, Marc Langweiler, Maria Jaimes, Scientific Reports	2016	285
CytoNorm: A Normalization Algorithm for Cytometry Data Sofie Van Gassen, Brice Gaudillière, Martin S. Angst, Cytometry Part A	2019	237
Rapid cell population identification in flow cytometry data Nima Aghaeepour, Radina Nikolic, Holger H. Hoos, Cytometry Part A	2010	231
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy Mohammad Sajjad Ghaemi, Daniel B. DiGiulio, Kévin Contrepois, Bioinformatics	2018	190
Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse Zinaida Good, Jolanda Sarno, Astraea Jager, Nature Medicine Hematological MalignancyLymphoid NeoplasiaMixed-phenotype Acute LeukemiaHematologyPathology	2018	150
Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset Ina A. Stelzer, Mohammad Sajjad Ghaemi, Xiaoyuan Han, Science Translational Medicine	2021	138

Page 1