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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 52 3623 3469 113 108 254 10520

Jan Baumbach publications per year

The chart shows the history of publications by Jan Baumbach between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jan Baumbach published across 20 years, from 2006 to 2025, averaging 25 papers a year. Output peaked at 62 publications in 2023. 106 of the 499 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 62. Peak 62 publications in 2023. 2006: 3 publications 2007: 8 publications 2008: 4 publications 2009: 4 publications 2010: 4 publications 2011: 9 publications 2012: 14 publications 2013: 15 publications 2014: 20 publications 2015: 13 publications 2016: 18 publications 2017: 18 publications 2018: 20 publications 2019: 31 publications 2020: 46 publications 2021: 49 publications 2022: 55 publications 2023: 62 publications 2024: 51 publications 2025: 55 publications
2006 2025

499 publications in total across all disciplines

View publications per year as a table
Jan Baumbach: publications per year, 2006 to 2025
Year Publications
2006 3
2007 8
2008 4
2009 4
2010 4
2011 9
2012 14
2013 15
2014 20
2015 13
2016 18
2017 18
2018 20
2019 31
2020 46
2021 49
2022 55
2023 62
2024 51
2025 55
Total 499
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Jan Baumbach publications per year - data summary

  • Jan Baumbach, a Engineering and Technology scholar from Universität Hamburg, has 499 publications recorded across 20 years, from 2006 to 2025.
  • The oldest publication on record dates to 2006 and the most recent to 2025.
  • The most productive year is 2023, with 62 publications.
  • The least productive year with any output is 2006, with 3 publications.
  • The rate of publication averages 24.9 papers per year over the whole span, or 24.9 per year counting only the 20 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 272 publications, 55% of the career total.
  • Split into equal eras - 2006-2012: 46 publications (6.6 per year); 2013-2019: 135 publications (19.3 per year); 2020-2025: 318 publications (53.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 248–257 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 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: 118 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: 60 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280 254
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Jan Baumbach publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • Jan Baumbach, a Engineering and Technology scholar from Universität Hamburg, records 254 publications - the 65th percentile of the discipline.
  • 65% of ranked Engineering and Technology scientists score the same or lower than Jan Baumbach, and about 35% score higher.
  • The median of the discipline falls in the 198–207 publications range, and Jan Baumbach ranks above the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 804 publications or more, 100 scientists in all (1% of the field).

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 52 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 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: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 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: 95 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: 25 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213 52
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

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

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • Jan Baumbach, a Engineering and Technology scholar from Universität Hamburg, records 52 D-Index - the 64th percentile of the discipline.
  • 64% of ranked Engineering and Technology scientists score the same or lower than Jan Baumbach, and about 36% score higher.
  • The median of the discipline falls in the 47 D-Index range, and Jan Baumbach ranks above the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 107 D-Index or more, 99 scientists in all (1% of the field).

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

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