Stacey B. Andersen - Concepedia

Concepedia

Author

Stacey B. Andersen

The University of Queensland ORCID

Also Known As

Andersen, Stacey, Andersen, Stacey, B., S Andersen, S. Andersen, Stacey Andersen, Stacey B Andersen, Stacey B. Andersen

49

Publications

1.7K

Citations

16

H-Index

72

Concepts

All Affiliations

The University of Queensland UNSW Sydney Garvan Institute of Medical Research The University of Melbourne Centre for Eye Research Australia

SB

About

Stacey B. Andersen is an author at The University of Queensland specializing in medicine, genetics, and functional genomics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	8	8	865
2	Engineering	1	1	14
3	Health Sciences	1	1	11
4	Natural Sciences	1	1	156
5	Public Health	1	1	16

Stacey B. Andersen

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24

Publications

1.7K

Citations

16

H-Index

	Year	Citations
Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease Seyhan Yazar, José Alquicira-Hernández, Kristof Wing, Science Human Immune SystemImmunodeficienciesGeneticsImmune RegulationImmunology	2022	571
Genome-wide discovery of human splicing branchpoints Tim R. Mercer, Michael B. Clark, Stacey B. Andersen, Genome Research	2015	241
Spliced synthetic genes as internal controls in RNA sequencing experiments Simon A. Hardwick, Wendy Y. Chen, Ted Wong, Nature Methods Transcriptional RegulationFunctional GenomicsSpliced Synthetic GenesGeneticsNatural Sciences	2016	156
Single-Cell Transcriptional Profiling of Aortic Endothelium Identifies a Hierarchy from Endovascular Progenitors to Differentiated Cells Samuel W. Lukowski, Jatin Patel, Stacey B. Andersen, Cell Reports	2019	106
Genotype-free demultiplexing of pooled single-cell RNA-seq Jun Xu, Caitlin Falconer, Quan Nguyen, Genome biology	2019	105
Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing Anne Senabouth, Stacey B. Andersen, Qianyu Shi, NAR Genomics and Bioinformatics	2020	59
Representing genetic variation with synthetic DNA standards Ira W. Deveson, Wendy Y. Chen, Ted Wong, Nature Methods Genetic AnalysisGeneticsGenetic EngineeringSynthetic CircuitGenetic Variation	2016	55
<i>ascend</i> : R package for analysis of single-cell RNA-seq data Anne Senabouth, Samuel W. Lukowski, José Alquicira-Hernández, GigaScience	2019	49
Shedding light: The importance of reverse transcription efficiency standards in data interpretation Jessica L. Schwaber, Stacey B. Andersen, Lars K. Nielsen Biomolecular Detection and Quantification	2019	47
Single-Cell Profiling Identifies Key Pathways Expressed by iPSCs Cultured in Different Commercial Media Maciej Daniszewski, Quan Nguyen, Hun S. Chy, iScience	2018	38

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