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Genetics
Denmark
2026
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Genetics and Molecular Biology
Denmark
2024

D-Index & Metrics

Genetics

D-Index
121
Citations
146414
World Ranking
355
National Ranking
3

Medicine

D-Index
126
Citations
155638
World Ranking
2864
National Ranking
35

Research.com Recognitions

  • 2026 - Research.com Genetics in Denmark Leader Award
  • 2025 - Research.com Genetics in Denmark Leader Award
  • 2024 - Research.com Genetics in Denmark Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in Denmark Leader Award
  • 2023 - Research.com Genetics in Denmark Leader Award
  • 2023 - Research.com Genetics and Molecular Biology in Denmark Leader Award
  • 2022 - Research.com Genetics and Molecular Biology in Denmark Leader Award
  • 2011 - Fellow of the International Society for Computational Biology
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)

Overview

Søren Brunak is affiliated with the University of Copenhagen in Denmark. The research primarily focuses on Medicine and Biochemistry, Genetics and Molecular Biology, with significant contributions in Genetics, Molecular Biology, Artificial Intelligence, Surgery, and Epidemiology.

The scientist has explored several main topics, including Genetic Associations and Epidemiology, Machine Learning in Healthcare, Bioinformatics and Genomic Networks, Liver Disease Diagnosis and Treatment, Diabetes and associated disorders, Pancreatic function and diabetes, and Cancer Genomics and Diagnostics.

Among the recent papers authored or co-authored are:

  • SignalP 6.0 predicts all five types of signal peptides using protein language models, 2022, Repository for Publications and Research Data (ETH Zurich)
  • Analyses of non-coding somatic drivers in 2,658 cancer whole genomes, 2020, Nature
  • The sequences of 150,119 genomes in the UK Biobank, 2022, Nature
  • A reference map of potential determinants for the human serum metabolome, 2020, Nature
  • Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records, 2020, The Lancet Digital Health

Frequent co-authors collaborating with Søren Brunak include:

  • Karina Banasik
  • Ole Birger Pedersen
  • Sisse Rye Ostrowski
  • Christian Erikstrup
  • Henrik Ullum

Key publication venues where the scientist has contributed multiple works are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Nature Genetics
  • Communications Biology
  • Diabetologia

There is also a recorded book publication:

  • Computational Advances in Bio and Medical Sciences, Springer Science+Business Media, 2021

Søren Brunak has been recognized with awards such as:

  • Fellow of the International Society for Computational Biology, 2011
  • Member of the European Molecular Biology Organization (EMBO)

Best Publications

  • A human gut microbial gene catalogue established by metagenomic sequencing

    Junjie Qin;Ruiqiang Li;Jeroen Raes;Manimozhiyan Arumugam

  • SignalP 4.0: discriminating signal peptides from transmembrane regions

    Thomas Nordahl Petersen;Søren Brunak;Søren Brunak;Gunnar von Heijne;Gunnar von Heijne;Henrik Nielsen

  • Enterotypes of the human gut microbiome

    Manimozhiyan Arumugam;Jeroen Raes;Eric Pelletier;Denis Le Paslier

  • Improved Prediction of Signal Peptides: SignalP 3.0

    Jannick Dyrløv Bendtsen;Henrik Nielsen;Gunnar von Heijne;Søren Brunak

  • Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.

    H Nielsen;J Engelbrecht;S Brunak;G von Heijne

  • Richness of human gut microbiome correlates with metabolic markers

    Trine Nielsen;Junjie Qin;Edi Prifti

  • Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.

    Olof Emanuelsson;Henrik Nielsen;Søren Brunak;Gunnar von Heijne

  • SignalP 5.0 improves signal peptide predictions using deep neural networks

    Jose Juan Almagro Armenteros;Konstantinos D. Tsirigos;Casper Kaae Sønderby;Thomas Nordahl Petersen

  • Sequence and structure-based prediction of eukaryotic protein phosphorylation sites.

    Nikolaj Blom;Steen Gammeltoft;Søren Brunak

  • Locating proteins in the cell using TargetP, SignalP and related tools

    Olof Emanuelsson;Søren Brunak;Gunnar von Heijne;Henrik Nielsen

  • Pan-cancer analysis of whole genomes

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

  • Assessing the accuracy of prediction algorithms for classification: an overview

    Pierre Baldi;Søren Brunak;Yves Chauvin;Claus A. F. Andersen

  • Prediction of post-translational glycosylation and phosphorylation of proteins from the amino acid sequence.

    Nikolaj Blom;Thomas Sicheritz-Pontén;Ramneek Gupta;Steen Gammeltoft

  • An integrated catalog of reference genes in the human gut microbiome

    Junhua Li;Huijue Jia;Xianghang Cai;Huanzi Zhong

  • Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota

    Kristoffer Forslund;Falk Hildebrand;Falk Hildebrand;Trine Nielsen;Gwen Falony;Gwen Falony

  • Human gut microbes impact host serum metabolome and insulin sensitivity

    Helle Krogh Pedersen;Valborg Gudmundsdottir;Henrik B. Nielsen;Tuulia Hyötyläinen;Tuulia Hyötyläinen

  • Population genomics of Bronze Age Eurasia

    Morten E. Allentoft;Martin Sikora;Karl-Göran Sjögren;Simon Rasmussen

  • Mining electronic health records: towards better research applications and clinical care

    Peter B Jensen;Lars Juhl Jensen;Søren Brunak;Søren Brunak

  • Quantitative Phosphoproteomics Reveals Widespread Full Phosphorylation Site Occupancy During Mitosis

    Jesper V. Olsen;Michiel Vermeulen;Anna Santamaria;Chanchal Kumar

  • SHORT COMMUNICATION Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

    Henrik Nielsen;Jacob Engelbrecht;Søren Brunak

Frequent Co-Authors

Torben Hansen
Torben Hansen University of Copenhagen
Oluf Pedersen
Oluf Pedersen University of Copenhagen
Ole Lund
Ole Lund Danish National Genome Center
Pierre Baldi
Pierre Baldi University of California, Irvine
Thomas Sicheritz-Pontén
Thomas Sicheritz-Pontén University of Copenhagen
Søren Buus
Søren Buus University of Copenhagen
Eske Willerslev
Eske Willerslev University of Copenhagen
Morten Nielsen
Morten Nielsen Technical University of Denmark
Emmanouil T. Dermitzakis
Emmanouil T. Dermitzakis University of Geneva

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