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
4492
National Ranking
333

Oliver Kohlbacher publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Oliver Kohlbacher sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 270 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Oliver Kohlbacher D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Oliver Kohlbacher sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 70 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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