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D-Index & Metrics

Biology and Biochemistry

D-Index
58
Citations
12941
World Ranking
13112
National Ranking
933

Ursula Klingmüller 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 Ursula Klingmüller 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: 204 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Ursula Klingmüller 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 Ursula Klingmüller 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: 58 D-Index — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)

Overview

Ursula Klingmüller is a researcher affiliated with the German Cancer Research Center in Germany. Their work primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with a focus on several subfields including Molecular Biology, Immunology, Hepatology, Pulmonary and Respiratory Medicine, and Epidemiology.

The main topics covered by their research include:

  • Liver Disease Diagnosis and Treatment
  • Liver physiology and pathology
  • Metabolomics and Mass Spectrometry Studies
  • Cytokine Signaling Pathways and Interactions
  • Advanced Proteomics Techniques and Applications
  • Interferon and immune responses
  • Lung Cancer Treatments and Mutations

Klingmüller has contributed to multiple papers in well-recognized venues. Recent publications include:

  • mTOR-mediated cancer drug resistance suppresses autophagy and generates a druggable metabolic vulnerability, 2020, Nature Communications
  • Conditional deletion of Nedd4-2 in lung epithelial cells causes progressive pulmonary fibrosis in adult mice, 2020, Nature Communications
  • Quantitative analysis of amino acid metabolism in liver cancer links glutamate excretion to nucleotide synthesis, 2020, Proceedings of the National Academy of Sciences
  • Disentangling molecular mechanisms regulating sensitization of interferon alpha signal transduction, 2020, Molecular Systems Biology
  • Hypoxia Routes Tryptophan Homeostasis Towards Increased Tryptamine Production, 2021, Frontiers in Immunology

Frequent coauthors who have collaborated extensively with Klingmüller are:

  • Barbara Helm
  • Marcel Schilling
  • Lorenza A. D'Alessandro
  • Jan G. Hengstler
  • Thomas Muley

Research output is distributed across several publication venues with the most frequent venues being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zeitschrift für Gastroenterologie
  • Nature Communications
  • Zenodo (CERN European Organization for Nuclear Research)
  • Molecular Systems Biology

Klingmüller is recognized as a member of the European Molecular Biology Organization (EMBO).

Best Publications

  • Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood

    A. Raue;C. Kreutz;T. Maiwald;J. Bachmann

  • SPECIFIC RECRUITMENT OF SH-PTP1 TO THE ERYTHROPOIETIN RECEPTOR CAUSES INACTIVATION OF JAK2 AND TERMINATION OF PROLIFERATIVE SIGNALS

    Ursula Klingmüller;Ursula Klingmüller;Ulrike Lorenz;Lewis C Cantley;Benjamin G Neel

  • Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by databased modeling

    I. Swameye;I. Swameye;T. G. Müller;J. Timmer;O. Sandra;O. Sandra

  • Lessons learned from quantitative dynamical modeling in systems biology.

    Andreas Raue;Marcel Schilling;Julie Bachmann;Andrew Matteson

  • Interaction of the erythropoietin and stem-cell-factor receptors

    Hong Wu;Ursula Klingmüller;Peter Besmer;Harvey F. Lodish

  • The liver-specific microRNA miR-122 controls systemic iron homeostasis in mice

    Mirco Castoldi;Maja Vujic Spasic;Sandro Altamura;Joacim Elmén

  • CYTOKINE RECEPTOR SIGNAL TRANSDUCTION AND THE CONTROL OF HEMATOPOIETIC CELL DEVELOPMENT

    Stephanie S. Watowich;Hong Wu;Merav Socolovsky;Ursula Klingmuller

  • Data2Dynamics: A modeling environment tailored to parameter estimation in dynamical systems

    A. Raue;B. Steiert;M. Schelker;C. Kreutz

  • Intramolecular regulation of protein tyrosine phosphatase SH-PTP1: a new function for Src homology 2 domains

    Dehua Pei;Ulrike Lorenz;Ulrike Lorenz;Ursula Klingmuller;Benjamin G. Neel;Benjamin G. Neel

  • Multiple tyrosine residues in the cytosolic domain of the erythropoietin receptor promote activation of STAT5.

    Ursula Klingmüller;Svetlana Bergelson;Jonathan G. Hsiao;Harvey F. Lodish

  • Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models.

    Richard J Weaver;Eric A Blomme;Amy E Chadwick;Ian M Copple

  • Identification of a novel pathway important for proliferation and differentiation of primary erythroid progenitors

    Ursula Klingmüller;Hong Wu;Hong Wu;Jonathan G. Hsiao;Jonathan G. Hsiao;Alex Toker

  • Addressing parameter identifiability by model-based experimentation

    A. Raue;C. Kreutz;T. Maiwald;U. Klingmuller

  • Functional interaction of erythropoietin and stem cell factor receptors is essential for erythroid colony formation

    Hong Wu;Ursula Klingmüller;Adriana Acurio;Jonathan G. Hsiao;Jonathan G. Hsiao

  • Covering a Broad Dynamic Range: Information Processing at the Erythropoietin Receptor

    Verena Becker;Verena Becker;Marcel Schilling;Julie Bachmann;Ute Baumann

  • Hepadnavirus infection requires interaction between the viral pre-S domain and a specific hepatocellular receptor.

    Ursula Klingmüller;Heinz Schaller

  • Simulation Methods for Optimal Experimental Design in Systems Biology

    Daniel Faller;Ursula Klingmüller;Jens Timmer

  • Interleukin-6 and oncostatin M-induced growth inhibition of human A375 melanoma cells is STAT-dependent and involves upregulation of the cyclin-dependent kinase inhibitor p27/Kip1

    Marcin Kortylewski;Peter C. Heinrich;Andrzej Mackiewicz;Ute Schniertshauer

  • A mouse model for visualization and conditional mutations in the erythroid lineage

    Achim C. Heinrich;Roberta Pelanda;Ursula Klingmüller

  • The glucocorticoid receptor controls hepatic dyslipidemia through Hes1.

    Ulrike Lemke;Anja Krones-Herzig;Mauricio Berriel Diaz;Prachiti Narvekar

Frequent Co-Authors

Fabian J. Theis
Fabian J. Theis Technical University of Munich
Hong Wu
Hong Wu Peking University
Norbert Gretz
Norbert Gretz Heidelberg University
Thomas Höfer
Thomas Höfer German Cancer Research Center
Jan G. Hengstler
Jan G. Hengstler TU Dortmund University
Bob van de Water
Bob van de Water Leiden University
Stephanie S. Watowich
Stephanie S. Watowich The University of Texas MD Anderson Cancer Center
Benjamin G. Neel
Benjamin G. Neel New York University Langone Medical Center
Dieter Häussinger
Dieter Häussinger Heinrich Heine University Düsseldorf

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