Wolfgang Huber

224.7k citations

249 papers · 109.8k indexed · 22 hit papers · h-index 72

Molecular Biology top 0.01%
Plant Science top 0.01%
Cancer Research top 0.01%
Immunology top 0.05%
Genetics top 0.02%

Co-authors: Simon Anders Michael I. Love Paul Theodor Pyl Robert Gentleman Steffen Durinck Ewan Birney Paul T. Spellman Annemarie Poustka
Topics: Gene expression and cancer classification (52 papers)RNA Research and Splicing (34 papers)Genomics and Chromatin Dynamics (32 papers)
Cited by: Molecular Biology Cancer Research Aging
Journals: Nature Science Cell
Partner nations: Germany United Kingdom United States

In The Last Decade

Wolfgang Huber

229 papers receiving 109.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

2014 55.9k citations Wolfgang Huber, Simon Anders et al. profile →
HTSeq—a Python framework to work with high-throughput sequencing data

2014 14.1k citations Simon Anders, Wolfgang Huber et al. Bioinformatics profile →
Differential expression analysis for sequence count data

2010 11.8k citations Simon Anders, Wolfgang Huber profile →
Software for Computing and Annotating Genomic Ranges

2013 2.5k citations Michael Lawrence, Wolfgang Huber et al. profile →
Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt

2009 2.4k citations Wolfgang Huber et al. Nature Protocols profile →
Variance stabilization applied to microarray data calibration and to the quantification of differential expression

2002 1.8k citations Wolfgang Huber, Anja von Heydebreck et al. Bioinformatics profile →
BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis

2005 1.4k citations Wolfgang Huber et al. profile →
Detecting differential usage of exons from RNA-seq data

2012 1.0k citations Simon Anders, Wolfgang Huber et al. profile →
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

2013 841 citations Simon Anders, Wolfgang Huber et al. Nature Protocols profile →
Two independent modes of chromatin organization revealed by cohesin removal

2017 791 citations Wolfgang Huber et al. profile →
Bidirectional promoters generate pervasive transcription in yeast

2009 735 citations Wolfgang Huber, Lars M. Steinmetz et al. profile →
arrayQualityMetrics—a bioconductor package for quality assessment of microarray data

2008 681 citations Wolfgang Huber et al. Bioinformatics profile →
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

2018 664 citations Ricard Argelaguet, Britta Velten et al. Molecular Systems Biology profile →
Human haematopoietic stem cell lineage commitment is a continuous process

2017 539 citations Wolfgang Huber, Lars M. Steinmetz et al. profile →
A high-resolution map of transcription in the yeast genome

2006 523 citations Lior David, Wolfgang Huber et al. Proceedings of the National Academy of Sciences profile →
EBImage—an R package for image processing with applications to cellular phenotypes

2010 491 citations Michael Boutros, Wolfgang Huber et al. Bioinformatics profile →
Love MI, Huber W, Anders S.. Moderated estimation of fold change and dispersion for RNA-Seq data with DESeq2. Genome Biol 15: 550

2014 490 citations Wolfgang Huber, Simon Anders et al. profile →
Proteome-wide identification of ubiquitin interactions using UbIA-MS

2018 437 citations Wolfgang Huber et al. Nature Protocols profile →
Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry

2015 434 citations Wolfgang Huber, Mikhail M. Savitski et al. Nature Protocols profile →
Orchestrating single-cell analysis with Bioconductor

2019 423 citations Wolfgang Huber et al. Nature Methods profile →
Enhancer loops appear stable during development and are associated with paused polymerase

2014 383 citations Yad Ghavi-Helm, Felix A. Klein et al. profile →
Data-driven hypothesis weighting increases detection power in genome-scale multiple testing

2016 347 citations Judith B. Zaugg, Wolfgang Huber et al. Nature Methods profile →

Peers

Countries citing papers authored by Wolfgang Huber

Since Specialization

Citations

This map shows the geographic impact of Wolfgang Huber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wolfgang Huber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Huber more than expected).

Fields of papers citing papers by Wolfgang Huber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wolfgang Huber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wolfgang Huber. The network helps show where Wolfgang Huber may publish in the future.

Co-authorship network of co-authors of Wolfgang Huber

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Huber. A scholar is included among the top collaborators of Wolfgang Huber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wolfgang Huber. Wolfgang Huber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines 2025 ·Nature Methods ·Constantin Ahlmann-Eltze,Wolfgang Huber,Simon Anders	12
2	Functional phenotyping of genomic variants using joint multiomic single-cell DNA–RNA sequencing 2025 ·Nature Methods ·Dominik Lindenhofer,Julia Bauman,John A. Hawkins,(unknown),Umut Yildiz,(unknown),(unknown),Mikael Marttinen,Moritz Kueblbeck,Judith B. Zaugg,Kyung‐Min Noh,Sascha Dietrich,Wolfgang Huber,Oliver Stegle,Lars M. Steinmetz	0
3	Comparing the value of mono- vs coculture for high-throughput compound screening in hematological malignancies 2023 ·Blood Advances ·Sophie A. Herbst,Vladislav Kim,Tobias Roider,(unknown),Peter‐Martin Bruch,Nora Liebers,Carolin Kolb,(unknown),Junyan Lu,Peter Dreger,Carsten Müller‐Tidow,Thorsten Zenz,Wolfgang Huber,Sascha Dietrich	7
4	Systematic analysis of drug combinations against Gram-positive bacteria 2023 ·Nature Microbiology ·Elisabetta Cacace,Vladislav Kim,Vallo Varik,Michael Knopp,(unknown),(unknown),Kemal İnecik,André Mateus,Alessio Milanese,(unknown),Karin Mitosch,Joel Selkrig,Ana Rita Brochado,Oscar P. Kuipers,Morten Kjos,Georg Zeller,Mikhail M. Savitski,Stephan Göttig,Wolfgang Huber,Athanasios Typas	31
5	Metabolic balance in colorectal cancer is maintained by optimal Wnt signaling levels 2022 ·Molecular Systems Biology ·Katharina Imkeller,Giulia Ambrosi,(unknown),(unknown),(unknown),Wolfgang Huber,Michael Boutros	9
6	Drug‐microenvironment perturbations reveal resistance mechanisms and prognostic subgroups in CLL 2022 ·Molecular Systems Biology ·Peter‐Martin Bruch,(unknown),Carolin Kolb,Sophie A. Herbst,(unknown),Tobias Roider,Junyan Lu,(unknown),Lena Wagner,(unknown),Ivan Berest,Mark Kriegsmann,Katharina Kriegsmann,Christiane Zgorzelski,Peter Dreger,Judith B. Zaugg,Carsten Müller‐Tidow,Thorsten Zenz,Wolfgang Huber,Sascha Dietrich	10
7	MatrixQCvis: shiny-based interactive data quality exploration for omics data 2021 ·Bioinformatics ·Thomas Naake,Wolfgang Huber	4
8	Timer-based proteomic profiling of the ubiquitin-proteasome system reveals a substrate receptor of the GID ubiquitin ligase 2021 ·Molecular Cell ·(unknown),Bernd Fischer,Matthias Meurer,Ilia Kats,Zhaoyan Li,Frank Rühle,Joseph D. Barry,Daniel Kirrmaier,(unknown),Bryan-Joseph San Luis,Michael Costanzo,Wolfgang Huber,Brenda Andrews,Charles Boone,Michael Knop,Anton Khmelinskii	37
9	glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data 2020 ·Bioinformatics ·Constantin Ahlmann-Eltze,Wolfgang Huber	123
10	Drug-based perturbation screen uncovers synergistic drug combinations in Burkitt lymphoma 2018 ·Scientific Reports ·(unknown),(unknown),Kwang Seok Lee,Jennifer Hüllein,Marina Lukas,Leopold Sellner,Tatjana Walther,Lena Wagner,Małgorzata Oleś,Benedikt Brors,Wolfgang Huber,Thorsten Zenz	21
11	Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data setsbreakdown → 2018 ·Molecular Systems Biology ·Ricard Argelaguet,Britta Velten,Damien Arnol,Sascha Dietrich,Thorsten Zenz,John C. Marioni,Florian Buettner,Wolfgang Huber,Oliver Stegle	664
12	Research Techniques Made Simple: Bioinformatics for Genome-Scale Biology 2017 ·Journal of Investigative Dermatology ·Amy Foulkes,David Watson,C.E.M. Griffiths,Richard B. Warren,Wolfgang Huber,Michael R. Barnes	12
13	FourCSeq: analysis of 4C sequencing data 2015 ·Bioinformatics ·Felix A. Klein,Tibor Pakozdi,Simon Anders,Yad Ghavi-Helm,Eileen E. M. Furlong,Wolfgang Huber	67
14	The RNA-binding proteomes from yeast to man harbour conserved enigmRBPs 2015 ·Nature Communications ·Benedikt M. Beckmann,Rastislav Horos,Bernd Fischer,Alfredo Castelló,Katrin Eichelbaum,Anne-Marie Alleaume,Thomas Schwarzl,Tomaž Curk,(unknown),Wolfgang Huber,Jeroen Krijgsveld,Matthias W. Hentze	341
15	SomaticSignatures: inferring mutational signatures from single-nucleotide variants 2015 ·Bioinformatics ·Julian Gehring,Bernd Fischer,Michael Lawrence,Wolfgang Huber	198
16	Measuring genetic interactions in human cells by RNAi and imaging 2014 ·Nature Protocols ·Christina Laufer,Bernd Fischer,Wolfgang Huber,Michael Boutros	16
17	Variation in Transcription Factor Binding Among Humans 2010 ·Science ·Maya Kasowski,Fabian Grubert,Christopher Heffelfinger,Manoj Hariharan,(unknown),Sebastian M. Waszak,Lukas Habegger,Joel Rozowsky,Minyi Shi,Alexander E. Urban,Mi-Young Hong,Konrad J. Karczewski,Wolfgang Huber,Sherman M. Weissman,Mark Gerstein,Jan O. Korbel,M Snyder	423
18	A high-resolution map of transcription in the yeast genomebreakdown → 2006 ·Proceedings of the National Academy of Sciences ·Lior David,Wolfgang Huber,(unknown),Joern Toedling,Curtis Palm,(unknown),Ted Jones,Ronald W. Davis,Lars M. Steinmetz	523
19	Variance stabilization applied to microarray data calibration and to the quantification of differential expressionbreakdown → 2002 ·Bioinformatics ·Wolfgang Huber,Anja von Heydebreck,Holger Sültmann,Annemarie Poustka,Martin Vingron	1806
20	Kirche zwischen Krieg und Frieden : Studien zur Geschichte des deutschen Protestantismus 1976 ·Wolfgang Huber,(unknown)	3

About Wolfgang Huber

Wolfgang Huber is a scholar working on Molecular Biology, Biophysics and Religious studies, having authored 249 papers that have together received 109.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (52 papers), RNA Research and Splicing (34 papers) and Genomics and Chromatin Dynamics (32 papers). The work is most often cited by research in Molecular Biology (67.0k citations), Cancer Research (14.6k citations) and Aging (1.4k citations). Wolfgang Huber has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Simon Anders, Michael I. Love, Paul Theodor Pyl, Robert Gentleman, Steffen Durinck, Ewan Birney, Paul T. Spellman, Annemarie Poustka, Alejandro Reyes and Anja von Heydebreck. Their work appears in journals such as Nature, Science and Cell.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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