World's Best Scientists 2026 revealed!
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Biology and Biochemistry
UK
2026

D-Index & Metrics

Biology and Biochemistry

D-Index
109
Citations
223132
World Ranking
983
National Ranking
54

Research.com Recognitions

  • 2026 - Research.com Biology and Biochemistry in United Kingdom Leader Award
  • 2025 - Research.com Biology and Biochemistry in United Kingdom Leader Award
  • 1953 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Wolfgang Huber is affiliated with the European Bioinformatics Institute in the United Kingdom. Their work spans several fields within biological and medical sciences, with a strong emphasis on biochemistry, genetics, and molecular biology.

They have contributed extensively to the areas of molecular biology, genetics, pathology, forensic medicine, oncology, and immunology. Their research topics include chronic lymphocytic leukemia research, single-cell and spatial transcriptomics, lymphoma diagnosis and treatment, gene expression and cancer classification, bioinformatics and genomic networks, CAR-T cell therapy research, and cancer genomics and diagnostics.

Some of Wolfgang Huber's recent publications include:

  • Transparency and reproducibility in artificial intelligence, 2020, Nature
  • glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data, 2020, Bioinformatics
  • Reduced proteasome activity in the aging brain results in ribosome stoichiometry loss and aggregation, 2020, Molecular Systems Biology
  • Identifying drug targets in tissues and whole blood with thermal-shift profiling, 2020, Nature Biotechnology
  • Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels, 2020, Nature Cell Biology

Frequent co-authors in their work include Sascha Dietrich, Thorsten Zenz, Junyan Lu, Tobias Roider, and Carsten Müller-Tidow.

Wolfgang Huber has published numerous papers in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Blood
  • Zeitschrift für Evangelische Ethik
  • Nature Communications
  • Bioinformatics

In addition to journal articles, they have also authored book publications, including a title published with Mohr Siebeck eBooks in 2022.

Wolfgang Huber has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS), an award received in 1953.

Best Publications

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

    Michael I Love;Michael I Love;Wolfgang Huber;Simon Anders

  • HTSeq—a Python framework to work with high-throughput sequencing data

    Simon Anders;Paul Theodor Pyl;Wolfgang Huber

  • Bioconductor: open software development for computational biology and bioinformatics

    Robert C Gentleman;Vincent J Carey;Douglas M. Bates;B.M. Bolstad

  • Differential expression analysis for sequence count data.

    Simon Anders;Wolfgang Huber

  • Software for computing and annotating genomic ranges.

    Michael F. Lawrence;Wolfgang Huber;Hervé Pagès;Patrick Aboyoun

  • Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt.

    Steffen Durinck;Paul T Spellman;Ewan Birney;Wolfgang Huber

  • Orchestrating high-throughput genomic analysis with Bioconductor

    Wolfgang Huber;Vincent J Carey;Robert Gentleman;Simon Anders

  • Variance stabilization applied to microarray data calibration and to the quantification of differential expression.

    Wolfgang Huber;Anja von Heydebreck;Holger Sültmann;Annemarie Poustka

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis

    Steffen Durinck;Yves Moreau;Arek Kasprzyk;Sean Davis

  • gplots: Various R Programming Tools for Plotting Data

    GR Warnes;B. Bolker;L. Bonebakker;R. Gentleman

  • Detecting differential usage of exons from RNA-seq data.

    Simon Anders;Alejandro Reyes;Wolfgang Huber

  • Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

    Simon Anders;Davis J McCarthy;Davis J McCarthy;Yunshun Chen;Yunshun Chen;Michal Okoniewski

  • Love MI, Huber W, Anders S.. Moderated estimation of fold change and dispersion for RNA-Seq data with DESeq2. Genome Biol 15: 550

    Michael I. Love;Wolfgang Huber;Simon Anders

  • Two independent modes of chromatin organization revealed by cohesin removal

    Wibke Schwarzer;Nezar Abdennur;Anton Goloborodko;Aleksandra Pekowska

  • Bidirectional promoters generate pervasive transcription in yeast

    Zhenyu Xu;Wu Wei;Julien Gagneur;Fabiana Perocchi

  • arrayQualityMetrics—a bioconductor package for quality assessment of microarray data

    Audrey Kauffmann;Robert C Gentleman;Wolfgang Huber

  • Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes

    Beate Neumann;Thomas Walter;Jean Karim Hériché;Jutta Bulkescher

  • Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets

    Ricard Argelaguet;Britta Velten;Damien Arnol;Sascha Dietrich

  • Human haematopoietic stem cell lineage commitment is a continuous process

    Lars Velten;Simon F. Haas;Simon Raffel;Simon Raffel;Sandra Blaszkiewicz

Frequent Co-Authors

Roland M. Schmid
Roland M. Schmid Technical University of Munich
Lars M. Steinmetz
Lars M. Steinmetz Stanford University
Michael Boutros
Michael Boutros German Cancer Research Center
Martin Vingron
Martin Vingron Max Planck Society
Vincent J. Carey
Vincent J. Carey Harvard Medical School
Marcus Bantscheff
Marcus Bantscheff GlaxoSmithKline (United Kingdom)
Annemarie Poustka
Annemarie Poustka German Cancer Research Center
Mikhail M. Savitski
Mikhail M. Savitski European Bioinformatics Institute
Benedikt Brors
Benedikt Brors German Cancer Research Center

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