Alex Wolf

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Fabian J TheisHelmholtz Munich, Technical University of MunichVerified email at helmholtz-muenchen.de
Mo LotfollahiWelcome Sanger institute,Verified email at sanger.ac.uk
Ulrich SchollwöckUniversity of MunichVerified email at lmu.de
Ian McCullochNational Tsing Hua UniversityVerified email at phys.nthu.edu.tw
Maren BüttnerPrincipal Data Scientist at Calico Life SciencesVerified email at calicolabs.com
Mireya PlassGroup Leader, IDIBELLVerified email at idibell.cat
Nikolaus RajewskyProfessor, Systems Biology, Max Delbruck Center for Molecular Medicine, BerlinVerified email at mdc-berlin.de
Jordi SolanaLiving Systems InstituteVerified email at exeter.ac.uk
Lukas SimonBaylor College of MedicineVerified email at bcm.edu
Sarah A. TeichmannUniversity of CambridgeVerified email at cam.ac.uk
Marius LangePostdoctoral Researcher, ETH Zurich, D-BSSEVerified email at bsse.ethz.ch
Volker BergenHelmholtz & Cellarity (Principal Scientist)Verified email at volkerbergen.de
Stefan PeidliPostdoc, EMBL HeidelbergVerified email at embl.de
Martin EcksteinProfessor for Physics, University of Erlangen NürnbergVerified email at fau.de
Florian BuettnerFrankfurt University/DKFZVerified email at med.uni-frankfurt.de
Laleh HaghverdiBIMSB-MDCVerified email at mdc-berlin.de
Bertie GottgensProfessor of Molecular Haematology, University of CambridgeVerified email at cam.ac.uk
Joakim DahlinKarolinska InstitutetVerified email at ki.se
Yuge JiVerified email at helmholtz-muenchen.de
Mohsen NaghipourfarPhD Student at University of California, BerkeleyVerified email at berkeley.edu

Alex Wolf

Lamin

Verified email at lamin.ai - Homepage

data engineering machine learning computational biology computational physics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
SCANPY: large-scale single-cell gene expression data analysis FA Wolf, P Angerer, FJ Theis Genome Biology 19, 15, 2018	5702	2018
Generalizing RNA velocity to transient cell states through dynamical modeling V Bergen, M Lange, S Peidli, FA Wolf†, FJ Theis† Nature Biotechnology, 2020	2009	2020
Diffusion pseudotime robustly reconstructs lineage branching L Haghverdi, M Buettner, FA Wolf, F Buettner, FJ Theis Nature Methods 13, 845-848, 2016	1287	2016
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells FA Wolf, FK Hamey, M Plass, [...], N Rajewsky, L Simon, FJ Theis Genome Biology 20, 59, 2019	1279	2019
Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics M Plass, J Solana, FA Wolf, [...], FJ Theis, C Kocks, N Rajewsky Science 360 (6391), eaaq1723, 2018	478	2018
scGen predicts single-cell perturbation responses M Lotfollahi, FA Wolf†, FJ Theis† Nature methods 16 (8), 715-721, 2019	412	2019
A test metric for assessing single-cell RNA-seq batch correction M Büttner, Z Miao, FA Wolf, SA Teichmann†, FJ Theis† Nature Methods 16, 43, 2019	398	2019
Generalized Gibbs ensemble prediction of prethermalization plateaus and their relation to nonthermal steady states in integrable systems M Kollar, FA Wolf, M Eckstein Physical Review B 84 (5), 054304, 2011	349	2011
Reconstructing cell cycle and disease progression using deep learning P Eulenberg, N Koehler, T Blasi, [...], P Rees, FJ Theis†, FA Wolf† Nature Communications 8, 463, 2017	291	2017
Single cells make big data: new challenges and opportunities in transcriptomics P Angerer, L Simon, S Tritschler, FA Wolf, D Fischer, FJ Theis Current Opinion in Systems Biology 4, 85-91, 2017	221	2017
Strictly Single-Site DMRG Algorithm with Subspace Expansion C Hubig, IP McCulloch, U Schollwöck, FA Wolf Physical Review B 91 (15), 155115, 2015	204	2015
anndata: Annotated data I Virshup, S Rybakov, FJ Theis, P Angerer†, FA Wolf† bioRxiv, 2021	158	2021
Predicting cellular responses to complex perturbations in high‐throughput screens M Lotfollahi, A Klimovskaia Susmelj, C De Donno, L Hetzel, Y Ji, IL Ibarra, ... Molecular systems biology 19 (6), e11517, 2023	147*	2023
Solving nonequilibrium dynamical mean-field theory using matrix product states FA Wolf, IP McCulloch, U Schollwöck Physical Review B 90 (23), 235131, 2014	135	2014
The scverse project provides a computational ecosystem for single-cell omics data analysis I Virshup, D Bredikhin, L Heumos, G Palla, G Sturm, A Gayoso, I Kats, ... Nature biotechnology, 1-3, 2023	122	2023
Chebyshev matrix product state impurity solver for dynamical mean-field theory FA Wolf, IP McCulloch, O Parcollet, U Schollwöck Physical Review B 90 (11), 115124, 2014	117	2014
Conditional out-of-distribution generation for unpaired data using transfer VAE M Lotfollahi, M Naghipourfar, FJ Theis†, FA Wolf† Bioinformatics 36 (Supplement_2), i610-i617, 2020	113*	2020
Imaginary-time matrix product state impurity solver for dynamical mean-field theory FA Wolf, A Go, IP McCulloch, AJ Millis, U Schollwöck Physical Review X 5 (4), 041032, 2015	106	2015
Machine learning for perturbational single-cell omics Y Ji, M Lotfollahi, FA Wolf, FJ Theis Cell Systems 12 (6), 522-537, 2021	101	2021
How to discretize a quantum bath for real-time evolution I de Vega, U Schollwöck, FA Wolf Physical Review B 92 (15), 155126, 2015	83	2015

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