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Gunnar von Heijne

Gunnar von Heijne

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Biology and Biochemistry
Sweden
2026

D-Index & Metrics

Biology and Biochemistry

D-Index
125
Citations
143981
World Ranking
497
National Ranking
12

Research.com Recognitions

  • 2026 - Research.com Biology and Biochemistry in Sweden Leader Award
  • 2025 - Research.com Biology and Biochemistry in Sweden Leader Award
  • 2023 - Research.com Biology and Biochemistry in Sweden Leader Award
  • 2022 - Research.com Biology and Biochemistry in Sweden Leader Award
  • 1998 - Member of Academia Europaea

Overview

Gunnar von Heijne is affiliated with Stockholm University in Sweden, where their research is focused within Biochemistry, Genetics, and Molecular Biology. Their work spans 68 publications primarily in Molecular Biology, Genetics, Materials Chemistry, Immunology, and Cell Biology.

The scientist's research includes topics such as RNA and protein synthesis mechanisms, bacterial genetics and biotechnology, protein structure and dynamics, enzyme structure and function, toxin mechanisms and immunotoxins, lipid membrane structure and behavior, and endoplasmic reticulum stress and disease.

Frequent co-authors in their scientific collaborations include Stephen H. White and Donald M. Engelman, each with 18 joint publications. Other common collaborators are Felix Nicolaus, Renuka Kudva, and Ane Metola.

Publication venues frequently featuring their work include bioRxiv (Cold Spring Harbor Laboratory) with 14 publications, Proceedings of the National Academy of Sciences with 4, FEBS Letters with 2, Repository for Publications and Research Data (ETH Zurich) with 1, and Methods in molecular biology with 1.

Key recent papers authored or co-authored by Gunnar von Heijne include:

  • SignalP 6.0 predicts all five types of signal peptides using protein language models, 2022, Repository for Publications and Research Data (ETH Zurich)
  • SignalP: The Evolution of a Web Server, 2024, Methods in molecular biology
  • The ribosome modulates folding inside the ribosomal exit tunnel, 2021, Communications Biology
  • Residue-by-residue analysis of cotranslational membrane protein integration in vivo, 2021, eLife
  • Cotranslational folding cooperativity of contiguous domains of α-spectrin, 2020, Proceedings of the National Academy of Sciences

Gunnar von Heijne has also contributed to book publications, including a title published by Garland Science eBooks titled Cell Boundaries, released in 2021.

The scientist has been recognized as a Member of Academia Europaea since 1998.

Best Publications

  • Tissue-based map of the human proteome

    Mathias Uhlén;Mathias Uhlén;Linn Fagerberg;Björn M Hallström;Cecilia Lindskog

  • Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes

    A Krogh;B Larsson;G von Heijne;E L Sonnhammer

  • SignalP 4.0: discriminating signal peptides from transmembrane regions

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

  • 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

  • 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

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

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

  • A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences

    Erik L. L. Sonnhammer;Gunnar von Heijne;Anders Krogh

  • Patterns of Amino Acids near Signal‐Sequence Cleavage Sites

    Gunnar Von Heijne

  • ChloroP, a neural network-based method for predicting chloroplast transit peptides and their cleavage sites.

    Olof Emanuelsson;Henrik Nielsen;Henrik Nielsen;Gunnar Von Heijne

  • Membrane protein structure prediction: Hydrophobicity analysis and the positive-inside rule

    Gunnar von Heijne

  • Domain structure of mitochondrial and chloroplast targeting peptides.

    Gunnar von Heijne;Johannes Steppuhn;Reinhold G. Herrmann

  • Prediction of transmembrane alpha-helices in prokaryotic membrane proteins: the dense alignment surface method.

    M Cserzö;E Wallin;I Simon;G von Heijne

  • Feature-based prediction of non-classical and leaderless protein secretion.

    Jannick Dyrløv Bendtsen;Lars Juhl Jensen;Nikolaj Blom;Gunnar von Heijne

  • Prediction of lipoprotein signal peptides in Gram-negative bacteria

    Agnieszka S. Juncker;Hanni Willenbrock;Gunnar von Heijne;Søren Brunak

  • The distribution of positively charged residues in bacterial inner membrane proteins correlates with the trans-membrane topology.

    Gunnar von Heijne

  • Recognition of transmembrane helices by the endoplasmic reticulum translocon

    Tara Hessa;Hyun Kim;Karl Bihlmaier;Karl Bihlmaier;Carolina Lundin

  • Sequence differences between glycosylated and non-glycosylated Asn-X-Thr/Ser acceptor sites : implications for protein engineering

    Ylva Gavel;Gunnar von Heijne

  • How signal sequences maintain cleavage specificity.

    Gunnar von Heijne

Frequent Co-Authors

IngMarie Nilsson
IngMarie Nilsson Stockholm University
Arne Elofsson
Arne Elofsson Science for Life Laboratory
Stephen H. White
Stephen H. White University of California, Irvine
Jan-Willem de Gier
Jan-Willem de Gier Stockholm University
Arthur E. Johnson
Arthur E. Johnson Texas A&M University
Søren Brunak
Søren Brunak University of Copenhagen
Roland Beckmann
Roland Beckmann Ludwig-Maximilians-Universität München
Joen Luirink
Joen Luirink Vrije Universiteit Amsterdam
Robert B. Best
Robert B. Best National Institutes of Health
Bengt Persson
Bengt Persson Science for Life Laboratory

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