World's Best Scientists 2026 revealed!
Oliver Kohlbacher

Oliver Kohlbacher

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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
70
Citations
18943
World Ranking
1881
National Ranking
72

Biology and Biochemistry

D-Index
78
Citations
25620
World Ranking
4493
National Ranking
332

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Oliver Kohlbacher is affiliated with the University of Tübingen in Germany and has contributed extensively to research in the fields of biochemistry, genetics, and molecular biology as well as medicine. Their work spans molecular biology, spectroscopy, genetics, immunology, and public health, environmental and occupational health.

The scientist's main research topics include advanced proteomics techniques and applications, metabolomics and mass spectrometry studies, mass spectrometry techniques and applications, bioinformatics and genomic networks, vaccines and immunoinformatics approaches, RNA and protein synthesis mechanisms, and genomics and phylogenetic studies.

Oliver Kohlbacher has published numerous papers, including important works such as:

  • Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment, 2020, Cell
  • Feature-based molecular networking in the GNPS analysis environment, 2020, Nature Methods
  • SARS-CoV-2-derived peptides define heterologous and COVID-19-induced T cell recognition, 2020, Nature Immunology
  • HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy, 2021, Journal for ImmunoTherapy of Cancer
  • Large-scale discovery of protein interactions at residue resolution using co-evolution calculated from genomic sequences, 2021, Nature Communications

Coauthors frequently collaborating with Oliver Kohlbacher include:

  • Timo Sachsenberg
  • Leon Bichmann
  • Kyowon Jeong
  • Oliver Alka
  • Julianus Pfeuffer

The venues where Oliver Kohlbacher has most frequently published encompass a range of well-regarded scientific platforms, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Nature Methods
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Proteome Research

This body of work situates Oliver Kohlbacher at the intersection of computational biology and experimental methods, with a significant focus on proteomics, mass spectrometry, and immunological applications. The scientist's contribution to better understanding protein interactions, immune responses, and molecular networks continues to shape their field of study.

Best Publications

  • Charting a dynamic DNA methylation landscape of the human genome

    Michael J. Ziller;Hongcang Gu;Fabian Müller;Julie Donaghey;Julie Donaghey

  • OpenMS – An open-source software framework for mass spectrometry

    Marc Sturm;Andreas Bertsch;Clemens Gröpl;Andreas Hildebrandt

  • Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.

    André Kahles;Kjong-Van Lehmann;Nora C Toussaint;Matthias Hüser

  • OptiType: precision HLA typing from next-generation sequencing data.

    András Szolek;Benjamin Schubert;Christopher Mohr;Marc Sturm

  • OpenMS: a flexible open-source software platform for mass spectrometry data analysis

    Hannes L Röst;Hannes L Röst;Timo Sachsenberg;Stephan Aiche;Chris Bielow

  • Visualization of omics data for systems biology

    Nils Gehlenborg;Seán I O'Donoghue;Nitin S Baliga;Alexander Goesmann

  • NRPSpredictor2-a web server for predicting NRPS adenylation domain specificity

    Marc Röttig;Marnix H. Medema;Kai Blin;Tilmann Weber

  • SARS-CoV-2-derived peptides define heterologous and COVID-19-induced T cell recognition.

    Annika Nelde;Tatjana Bilich;Jonas S. Heitmann;Yacine Maringer

  • Sequence co-evolution gives 3D contacts and structures of protein complexes

    Thomas A Hopf;Charlotta P I Schärfe;Charlotta P I Schärfe;João P G L M Rodrigues;Anna G Green

  • Specificity prediction of adenylation domains in nonribosomal peptide synthetases (NRPS) using transductive support vector machines (TSVMs)

    Christian Rausch;Tilmann Weber;Oliver Kohlbacher;Wolfgang Wohlleben

  • Transcriptional and epigenetic dynamics during specification of human embryonic stem cells.

    Casey A. Gifford;Michael Johannes Ziller;Michael Johannes Ziller;Hongcang Gu;Cole Trapnell;Cole Trapnell

  • From hype to reality: data science enabling personalized medicine

    Holger Fröhlich;Rudi Balling;Niko Beerenwinkel;Oliver Kohlbacher

  • MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition

    Annette Höglund;Pierre Dönnes;Torsten Blum;Hans-Werner Adolph

  • Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19.

    Joana P. Bernardes;Neha Mishra;Florian Tran;Thomas Bahmer

  • YLoc—an interpretable web server for predicting subcellular localization

    Sebastian Briesemeister;Jörg Rahnenführer;Oliver Kohlbacher

  • TOPP---the OpenMS proteomics pipeline

    Oliver Kohlbacher;Knut Reinert;Clemens Gröpl;Eva Lange

  • MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction.

    Torsten Blum;Sebastian Briesemeister;Oliver Kohlbacher

  • WIPI proteins: essential PtdIns3P effectors at the nascent autophagosome

    Tassula Proikas-Cezanne;Zsuzsanna Takacs;Pierre Dönnes;Oliver Kohlbacher

  • Tools for label-free peptide quantification

    Sven Nahnsen;Chris Bielow;Knut Reinert;Oliver Kohlbacher

  • Simultaneous alignment of short reads against multiple genomes

    Korbinian Schneeberger;Jörg Hagmann;Stephan Ossowski;Norman Warthmann

  • Feature-based Molecular Networking in the GNPS Analysis Environment

    Louis Felix Nothias;Daniel Petras;Robin Schmid;Kai Dührkop

Frequent Co-Authors

Hans-Peter Lenhof
Hans-Peter Lenhof Saarland University
Stefan Stevanovic
Stefan Stevanovic University of Tübingen
Knut Reinert
Knut Reinert Freie Universität Berlin
Christian G. Huber
Christian G. Huber University of Salzburg
Hans-Georg Rammensee
Hans-Georg Rammensee University of Tübingen
Michael Kaufmann
Michael Kaufmann University of Tübingen
Lothar Kanz
Lothar Kanz University of Tübingen
Andreas Zell
Andreas Zell University of Tübingen
Juan Antonio Vizcaíno
Juan Antonio Vizcaíno European Bioinformatics Institute
Debora S. Marks
Debora S. Marks Harvard University

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