World's Best Scientists 2026 revealed!
Hans A. Kestler

Hans A. Kestler

D-Index & Metrics

Biology and Biochemistry

D-Index
65
Citations
14805
World Ranking
9166
National Ranking
666

Hans A. Kestler publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Hans A. Kestler sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 341 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Hans A. Kestler D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Hans A. Kestler sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 65 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Hans A. Kestler is affiliated with the University of Ulm in Germany and has an extensive research background in biochemistry, genetics, and molecular biology, with notable contributions to medicine. Their publication record reflects a strong focus on molecular biology, artificial intelligence, oncology, cancer research, and general health professions.

The scientist's recent papers include:

  • Concepts in Boolean network modeling: What do they all mean?, 2020, Computational and Structural Biotechnology Journal
  • Reduced Rate of Inpatient Hospital Admissions in 18 German University Hospitals During the COVID-19 Lockdown, 2021, Frontiers in Public Health
  • Synergistic targeting and resistance to PARP inhibition in DNA damage repair-deficient pancreatic cancer, 2020, Gut
  • Protein Kinase D1, Reduced in Human Pancreatic Tumors, Increases Secretion of Small Extracellular Vesicles From Cancer Cells That Promote Metastasis to Lung in Mice, 2020, Gastroenterology
  • A Prospective Feasibility Trial to Challenge Patient-Derived Pancreatic Cancer Organoids in Predicting Treatment Response, 2021, Cancers

Frequent coauthors associated with Hans A. Kestler include:

  • Johann M. Kraus
  • Julian Schwab
  • Nensi Ikonomi
  • Silke D Werle
  • Thomas Seufferlein

The scientist commonly publishes in specific venues such as:

  • Advances in Data Analysis and Classification
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Cancers
  • Briefings in Bioinformatics

Hans A. Kestler's research topics encompass a range of specialized areas, including:

  • Gene Regulatory Network Analysis
  • Bioinformatics and Genomic Networks
  • Mobile Health and mHealth Applications
  • Cancer Genomics and Diagnostics
  • Digital Mental Health Interventions
  • Pancreatic and Hepatic Oncology Research
  • Computational Drug Discovery Methods

Their work often intersects with cutting-edge methods in computational biology and clinical applications, addressing challenges from molecular network modeling to cancer diagnostics and treatment prediction. The collaborations and choice of publication venues indicate a multidisciplinary approach, integrating data analysis, bioinformatics, and medical sciences.

Best Publications

  • An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

    Robert A. Scott;Laura J. Scott;Reedik Mägi;Letizia Marullo

  • Three learning phases for radial-basis-function networks

    Friedhelm Schwenker;Hans A. Kestler;Günther Palm

  • Sequelae of acute myocardial infarction regarding cardiac structure and function and their prognostic significance as assessed by magnetic resonance imaging.

    Vinzenz Hombach;Olaf Grebe;Nico Merkle;Sebastian Waldenmaier

  • BoolNet—an R package for generation, reconstruction and analysis of Boolean networks

    Christoph Müssel;Martin Hopfensitz;Hans A. Kestler

  • MYC stimulates EZH2 expression by repression of its negative regulator miR-26a.

    Sandrine Sander;Lars Bullinger;Kay Klapproth;Katja Fiedler

  • Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

    Kyle J Gaulton;Kyle J Gaulton;Teresa Ferreira;Yeji Lee;Anne Raimondo

  • A differentiation checkpoint limits hematopoietic stem cell self-renewal in response to DNA damage.

    Jianwei Wang;Qian Sun;Yohei Morita;Hong Jiang

  • NF-κB controls the global pro-inflammatory response in endothelial cells: evidence for the regulation of a pro-atherogenic program

    Sybille Kempe;Hans Kestler;Andrea Lasar;Thomas Wirth

  • A canonical to non-canonical Wnt signalling switch in haematopoietic stem-cell ageing

    Maria Carolina Florian;Kalpana J. Nattamai;Karin Dörr;Gina Marka

  • RUNX1 mutations in acute myeloid leukemia are associated with distinct clinico-pathologic and genetic features.

    V I Gaidzik;V Teleanu;E Papaemmanuil;D Weber

  • Insights into Sex Chromosome Evolution and Aging from the Genome of a Short-Lived Fish.

    Kathrin Reichwald;Andreas Petzold;Philipp Koch;Bryan R Downie

  • Automated array-based genomic profiling in chronic lymphocytic leukemia: Development of a clinical tool and discovery of recurrent genomic alterations

    Carsten Schwaenen;Michelle Nessling;Swen Wessendorf;Tatjana Salvi

  • From individual Wnt pathways towards a Wnt signalling network.

    Hans A Kestler;Michael Kühl

  • Transcriptome analysis of microdissected pancreatic intraepithelial neoplastic lesions.

    Malte Buchholz;Mike Braun;Anna Heidenblut;Hans A Kestler

  • Genomic DNA-Chip Hybridization Reveals a Higher Incidence of Genomic Amplifications in Pancreatic Cancer than Conventional Comparative Genomic Hybridization and Leads to the Identification of Novel Candidate Genes

    Karlheinz Holzmann;Holger Kohlhammer;Carsten Schwaenen;Swen Wessendorf

  • Lifestyle impacts on the aging-associated expression of biomarkers of DNA damage and telomere dysfunction in human blood

    Zhangfa Song;Zhangfa Song;Guido Von Figura;Yan Liu;Johann M. Kraus

  • Disclosure of Candidate Genes in Acute Myeloid Leukemia With Complex Karyotypes Using Microarray-Based Molecular Characterization

    Frank G. Rücker;Lars Bullinger;Carsten Schwaenen;Daniel B. Lipka

  • Concepts in Boolean network modeling: What do they all mean?

    Julian D. Schwab;Silke D. Kühlwein;Nensi Ikonomi;Michael Kühl

  • Generalized Venn diagrams: a new method of visualizing complex genetic set relations

    Hans A. Kestler;André Müller;Thomas M. Gress;Malte Buchholz

  • GSE12278: MYC stimulates EZH2 expression by repression of its negative regulator miR-26a.

    Lars Bullinger;Sandrine Sander;Kay Klapproth;Katja Fiedler

Frequent Co-Authors

Friedhelm Schwenker
Friedhelm Schwenker University of Ulm
Günther Palm
Günther Palm University of Ulm
Thomas M. Gress
Thomas M. Gress Philipp University of Marburg
Hartmut Döhner
Hartmut Döhner University of Ulm
Peter Lichter
Peter Lichter German Cancer Research Center
Lars Bullinger
Lars Bullinger Charité - University Medicine Berlin
Heiko Neumann
Heiko Neumann University of Ulm
Thomas F. E. Barth
Thomas F. E. Barth University of Ulm
Konstanze Döhner
Konstanze Döhner University of Ulm
Peter Möller
Peter Möller University of Ulm

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