World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
60
Citations
16901
World Ranking
11768
National Ranking
838

Edda Klipp 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 Edda Klipp 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: 251 publications — 67th percentile

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

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

Edda Klipp 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 Edda Klipp 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: 60 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Edda Klipp is affiliated with Humboldt-Universität zu Berlin in Germany. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with a stronger emphasis on Molecular Biology and Plant Science. Klipp's work also touches on Epidemiology, Modeling and Simulation, and Biophysics.

The scientist's main research topics include Microbial Metabolic Engineering and Bioproduction, Gene Regulatory Network Analysis, Bioinformatics and Genomic Networks, Fungal and Yeast Genetics Research, Liver Disease Diagnosis and Treatment, COVID-19 Epidemiological Studies, and Photosynthetic Processes and Mechanisms.

Klipp has coauthored frequently with several colleagues, including Stephan O. Adler, Judith A. H. Wodke, M. Seeger, Rune Linding, and Thomas Nägele, reflecting ongoing collaborative efforts in multiple research projects.

Regarding publications, Klipp has contributed to papers in a variety of scientific journals, with multiple outputs published especially in bioRxiv (Cold Spring Harbor Laboratory), Nature Biotechnology, The Plant Journal, FEMS Yeast Research, and Gut. The most cited works associated with Klipp include:

  • MEMOTE for standardized genome-scale metabolic model testing, 2020, Nature Biotechnology
  • Loss of hepatic Mboat7 leads to liver fibrosis, 2020, Gut
  • Nonalcoholic fatty liver disease stratification by liver lipidomics, 2021, Journal of Lipid Research
  • Acclimation in plants - the Green Hub consortium, 2020, The Plant Journal
  • Limitation of sucrose biosynthesis shapes carbon partitioning during plant cold acclimation, 2022, Plant Cell & Environment

Best Publications

  • Systems Biology

    Edda Klipp;Christoph Wierling;Wolfram Liebermeister

  • Systems Biology in Practice: Concepts, Implementation and Application

    Edda Klipp;Ralf Herwig;Axel Kowald;Christoph Wierling

  • Minimum information requested in the annotation of biochemical models (MIRIAM)

    Nicolas Le Novère;Andrew Finney;Michael Hucka;Upinder S. Bhalla

  • A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology

    Markus Herrgard;Neil Swainston;Paul Dobson;Warwick B. Dunn

  • Dynamic rerouting of the carbohydrate flux is key to counteracting oxidative stress

    Markus Ralser;Mirjam M Wamelink;Axel Kowald;Birgit Gerisch

  • Systems Biology: A Textbook

    Edda Klipp;Wolfram Liebermeister;Christoph Wierling;Axel Kowald

  • Integrative model of the response of yeast to osmotic shock

    Edda Klipp;Bodil Nordlander;Roland Krüger;Peter Gennemark

  • MEMOTE for standardized genome-scale metabolic model testing

    Christian Lieven;Moritz Emanuel Beber;Brett G. Olivier;Frank T. Bergmann

  • Triple-negative breast cancer: Present challenges and new perspectives

    Franca Podo;Lutgarde M.C. Buydens;Hadassa Degani;Riet Hilhorst

  • Global Network Reorganization During Dynamic Adaptations of Bacillus subtilis Metabolism

    Joerg Martin Buescher;Wolfram Liebermeister;Matthieu Jules;Markus Uhr

  • Bringing metabolic networks to life: convenience rate law and thermodynamic constraints.

    Wolfram Liebermeister;Edda Klipp

  • SBML Level 3: an extensible format for the exchange and reuse of biological models

    Sarah M. Keating;Sarah M. Keating;Dagmar Waltemath;Matthias König;Fengkai Zhang

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

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

  • Estimation of immune cell content in tumour tissue using single-cell RNA-seq data

    Max Schelker;Sonia Feau;Jinyan Du;Nav Ranu

  • Mathematical modeling of intracellular signaling pathways

    Edda Klipp;Wolfram Liebermeister

  • Minimum Information About a Simulation Experiment (MIASE)

    Dagmar Waltemath;Richard R. Adams;Daniel A. Beard;Frank T. Bergmann;Frank T. Bergmann

  • Selective benefits of damage partitioning in unicellular systems and its effects on aging

    Nika Erjavec;Marija Cvijovic;Edda Klipp;Thomas Nyström

  • Modular rate laws for enzymatic reactions

    Wolfram Liebermeister;Jannis Uhlendorf;Edda Klipp

  • Prediction of temporal gene expression. Metabolic opimization by re-distribution of enzyme activities.

    Edda Klipp;Reinhart Heinrich;Hermann-Georg Holzhütter

  • Biochemical network models simplified by balanced truncation.

    Wolfram Liebermeister;Ulrike Baur;Edda Klipp

Frequent Co-Authors

Andreas Herrmann
Andreas Herrmann Humboldt-Universität zu Berlin
Stefan Hohmann
Stefan Hohmann Chalmers University of Technology
Hans Lehrach
Hans Lehrach Max Planck Society
Jens Nielsen
Jens Nielsen Chalmers University of Technology
Bernhard O. Palsson
Bernhard O. Palsson University of California, San Diego
Pedro Mendes
Pedro Mendes University of Connecticut
Intawat Nookaew
Intawat Nookaew University of Arkansas for Medical Sciences
Sang Yup Lee
Sang Yup Lee Korea Advanced Institute of Science and Technology
Adam M. Feist
Adam M. Feist University of California, San Diego
Lars K. Nielsen
Lars K. Nielsen University of Queensland

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