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Author
Fabian J. Theis
also known as F J Theis, F Theis, F. J. Theis
Helmholtz Zentrum München · Technical University of Munich · Florida State University · Broad Institute
About this author
Works
1,087
Cited by
82,847
h-index
126
i10
524
ORCID ↗
Top papers
SCANPY: large-scale single-cell gene expression data analysis
F. Alexander Wolf, Philipp Angerer, Fabian J. Theis
·
2018
·
Genome biology
↗ 9,016
OA
Generalizing RNA velocity to transient cell states through dynamical modeling
Volker Bergen, Marius Lange, Stefan Peidli, et al.
·
2020
·
Nature Biotechnology
↗ 3,014
SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues
Carly G.K. Ziegler, Samuel J. Allon, Sarah K. Nyquist, et al.
·
2020
·
Cell
↗ 2,482
OA
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Malte D. Luecken, Fabian J. Theis
·
2019
·
Molecular Systems Biology
↗ 2,279
OA
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
F. Alexander Wolf, Fiona Hamey, Mireya Plass, et al.
·
2019
·
Genome biology
↗ 1,776
OA
An atlas of genetic influences on human blood metabolites
So–Youn Shin, Eric B. Fauman, Ann-Kristin Petersen, et al.
·
2014
·
Nature Genetics
↗ 1,633
OA
Diffusion pseudotime robustly reconstructs lineage branching
Laleh Haghverdi, Maren Büttner, F. Alexander Wolf, et al.
·
2016
·
Nature Methods
↗ 1,465
Eleven grand challenges in single-cell data science
David Lähnemann, Johannes Köster, Ewa Szczurek, et al.
·
2020
·
Genome biology
↗ 1,393
OA
Benchmarking atlas-level data integration in single-cell genomics
Malte D. Luecken, Maren Büttner, Kridsadakorn Chaichoompu, et al.
·
2021
·
Nature Methods
↗ 1,352
OA
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
Florian Buettner, Kedar Nath Natarajan, Francesco Paolo Casale, et al.
·
2015
·
Nature Biotechnology
↗ 1,296
OA
Deep learning: new computational modelling techniques for genomics
Gökçen Eraslan, Žiga Avsec, Julien Gagneur, et al.
·
2019
·
Nature Reviews Genetics
↗ 1,195
Single-cell RNA-seq denoising using a deep count autoencoder
Gökçen Eraslan, Lukas M. Simon, Maria Mircea, et al.
·
2019
·
Nature Communications
↗ 1,139
OA
Books
Biomedical signal analysis
2009
·
MIT Press