World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
10520
World Ranking
3621
National Ranking
114

Jan Baumbach publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jan Baumbach sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 254 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jan Baumbach D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jan Baumbach sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Jan Baumbach is affiliated with Universität Hamburg in Germany and has established a research profile with extensive contributions in the areas of biochemistry, genetics, and molecular biology. Their academic output includes significant work in molecular biology, artificial intelligence, genetics, cancer research, and computational theory and mathematics.

The scientist's main fields of study encompass biochemistry, genetics, and molecular biology with 354 publications, as well as medicine with 135 publications. Their subfield focus is detailed further into molecular biology with 278 publications, artificial intelligence with 44, genetics with 28, cancer research with 26, and computational theory and mathematics with 19 publications.

Key topics in Jan Baumbach's research portfolio are:

  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • RNA Research and Splicing
  • Privacy-Preserving Technologies in Data
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • Metabolomics and Mass Spectrometry Studies

Frequent publication venues emphasize preprint and peer-reviewed platforms including:

  • bioRxiv (Cold Spring Harbor Laboratory) with 40 publications
  • arXiv (Cornell University) with 14 publications
  • Bioinformatics with 13 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 8 publications
  • Nucleic Acids Research with 6 publications

Jan Baumbach has coauthored extensively with various researchers, primarily collaborating with:

  • Markus List (92 collaborations)
  • Tim Kacprowski (59 collaborations)
  • Olga Tsoy (44 collaborations)
  • David B. Blumenthal (27 collaborations)
  • Uwe Völker (24 collaborations)

Notable papers authored or coauthored by Jan Baumbach include:

  • Mass-spectrometry-based draft of the Arabidopsis proteome, 2020, Nature
  • Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing, 2021, mSphere
  • Network analysis methods for studying microbial communities: A mini review, 2021, Computational and Structural Biotechnology Journal
  • Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes, 2020, Cell Host & Microbe
  • Molecular networks in Network Medicine: Development and applications, 2020, WIREs Systems Biology and Medicine

Best Publications

  • Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology

    Gregor Sturm;Francesca Finotello;Florent Petitprez;Jitao David Zhang

  • clusterMaker: a multi-algorithm clustering plugin for Cytoscape

    John H Morris;Leonard Apeltsin;Aaron M Newman;Jan Baumbach

  • AltAnalyze and DomainGraph: analyzing and visualizing exon expression data

    Dorothea Emig;Nathan Salomonis;Jan Baumbach;Thomas Lengauer

  • Network analysis methods for studying microbial communities: A mini review.

    Monica Steffi Matchado;Michael Lauber;Sandra Reitmeier;Tim Kacprowski;Tim Kacprowski

  • Comparing the performance of biomedical clustering methods

    Christian Wiwie;Jan Baumbach;Richard Röttger

  • Graph-based analysis and visualization of experimental results with ONDEX

    Jacob Köhler;Jan Baumbach;Jan Taubert;Michael Specht

  • From single drug targets to synergistic network pharmacology in ischemic stroke.

    Ana I. Casas;Ahmed A. Hassan;Simon J. Larsen;Vanessa Gomez-Rangel

  • Current breathomics--a review on data pre-processing techniques and machine learning in metabolomics breath analysis.

    A Smolinska;A-Ch Hauschild;R R R Fijten;J W Dallinga

  • The Economic Impact of Artificial Intelligence in Health Care: Systematic Review.

    Justus Wolff;Josch Pauling;Andreas Keck;Jan Baumbach

  • Osteogenesis depends on commissioning of a network of stem cell transcription factors that act as repressors of adipogenesis.

    Alexander Rauch;Anders K Haakonsson;Jesper G S Madsen;Mette Larsen

  • Molecular networks in Network Medicine: Development and applications.

    Edwin K. Silverman;Harald H. H. W. Schmidt;Eleni Anastasiadou;Lucia Altucci

  • Long-term instability of the intestinal microbiome is associated with metabolic liver disease, low microbiota diversity, diabetes mellitus and impaired exocrine pancreatic function.

    Fabian Frost;Tim Kacprowski;Malte Rühlemann;Maik Pietzner

  • GIPSy: Genomic island prediction software

    Siomar C Soares;Hakan Geyik;Hakan Geyik;Rommel T J Ramos;Pablo H C G de Sá

  • Partitioning biological data with transitivity clustering.

    Tobias Wittkop;Tobias Wittkop;Tobias Wittkop;Dorothea Emig;Sita J. Lange;Sven Rahmann

  • Network medicine for disease module identification and drug repurposing with the NeDRex platform.

    Sepideh Sadegh;Sepideh Sadegh;James Skelton;Elisa Anastasi;Judith Bernett

  • Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.

    Franziska Hufsky;Kevin Lamkiewicz;Alexandre Almeida;Abdel Aouacheria

  • Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies

    Gihanna Galindez;Julian Matschinske;Tim Daniel Rose;Sepideh Sadegh

  • The GlxR regulon of the amino acid producer Corynebacterium glutamicum: in silico and in vitro detection of DNA binding sites of a global transcription regulator.

    Thomas A. Kohl;Jan Baumbach;Britta Jungwirth;Alfred Pühler

  • PanRV: Pangenome-reverse vaccinology approach for identifications of potential vaccine candidates in microbial pangenome.

    Kanwal Naz;Anam Naz;Shifa Tariq Ashraf;Muhammad Rizwan

  • Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

    Unknown

  • Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing

    Tobias Wittkop;Jan Baumbach;Francisco Pereira Lobo;Francisco Pereira Lobo;Sven Rahmann

  • PIPS: Pathogenicity Island Prediction Software

    Siomar C. Soares;Vinícius A. C. Abreu;Rommel T. J. Ramos;Louise Cerdeira

  • Exact and heuristic algorithms for weighted cluster editing.

    Sven Rahmann;Tobias Wittkop;Jan Baumbach;Marcel Martin

Frequent Co-Authors

Vasco Azevedo
Vasco Azevedo Universidade Federal de Minas Gerais
Harald H.H.W. Schmidt
Harald H.H.W. Schmidt Maastricht University
Andreas Tauch
Andreas Tauch Bielefeld University
Henrik J. Ditzel
Henrik J. Ditzel University of Southern Denmark
Mads Thomassen
Mads Thomassen Odense University Hospital
Jiong Guo
Jiong Guo Shandong University
Lene Christiansen
Lene Christiansen University of Southern Denmark
Richard Reynolds
Richard Reynolds Imperial College London
Kaare Christensen
Kaare Christensen University of Southern Denmark
Gary D. Bader
Gary D. Bader University of Toronto

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Jan Baumbach

Trending Scientists

Recently Published Articles