World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
66
Citations
14958
World Ranking
8709
National Ranking
155

Vassily Hatzimanikatis 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 Vassily Hatzimanikatis 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: 308 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Vassily Hatzimanikatis 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 Vassily Hatzimanikatis 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: 66 D-Index — 57th percentile

57% 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

  • 2009 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Vassily Hatzimanikatis is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research primarily lies within the domain of Biochemistry, Genetics, and Molecular Biology, supported by an extensive publication record with 250 works in this area. Subfields of focus include Molecular Biology, Biomedical Engineering, Computational Theory and Mathematics, Pharmacology, and Genetics.

Their research topics cover a range of subjects related to microbial and metabolic systems, including Microbial Metabolic Engineering and Bioproduction, Metabolomics and Mass Spectrometry Studies, Gene Regulatory Network Analysis, Bioinformatics and Genomic Networks, Viral Infectious Diseases and Gene Expression in Insects, Computational Drug Discovery Methods, and Biofuel production and bioconversion.

Recent significant publications by Hatzimanikatis and collaborators include:

  • MEMOTE for standardized genome-scale metabolic model testing, 2020, Nature Biotechnology
  • Metabolic interaction models recapitulate leaf microbiota ecology, 2023, Science
  • Functional and Computational Genomics Reveal Unprecedented Flexibility in Stage-Specific Toxoplasma Metabolism, 2020, Cell Host & Microbe
  • The ETFL formulation allows multi-omics integration in thermodynamics-compliant metabolism and expression models, 2020, Nature Communications
  • A genome-scale metabolic model of Saccharomyces cerevisiae that integrates expression constraints and reaction thermodynamics, 2021, Nature Communications

Frequent co-authors with whom Hatzimanikatis has collaborated extensively include Ljubiša Mišković, Hameri Tuure, Georgios Fengos, Meriç Ataman, and María Masid.

The main venues for their publications are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Metabolic Engineering

Hatzimanikatis was awarded the title of Fellow of the Indian National Academy of Engineering (INAE) in 2009.

Best Publications

  • A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information.

    Adam M Feist;Christopher S Henry;Jennifer L Reed;Markus Krummenacker

  • Thermodynamics-Based Metabolic Flux Analysis

    Christopher S. Henry;Linda J. Broadbelt;Vassily Hatzimanikatis

  • MEMOTE for standardized genome-scale metabolic model testing

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

  • Group Contribution Method for Thermodynamic Analysis of Complex Metabolic Networks

    Matthew D. Jankowski;Christopher S. Henry;Linda J. Broadbelt;Vassily Hatzimanikatis

  • Exploring the diversity of complex metabolic networks

    Vassily Hatzimanikatis;Chunhui Li;Justin A. Ionita;Christopher S. Henry

  • Metabolic flux analysis of hybridoma cells in different culture media using mass balances.

    H.P.J. Bonarius;V. Hatzimanikatis;K.P.H. Meesters;C.D. de Gooijer

  • Metabolic fluxes in riboflavin-producing Bacillus subtilis

    Uwe Sauer;Vassily Hatzimanikatis;James E. Bailey;Michel Hochuli

  • Kinetic models in industrial biotechnology - Improving cell factory performance.

    Joachim Almquist;Marija Cvijovic;Vassily Hatzimanikatis;Jens Nielsen

  • Genome-Scale Thermodynamic Analysis of Escherichia coli Metabolism

    Christopher S. Henry;Matthew D. Jankowski;Linda J. Broadbelt;Vassily Hatzimanikatis

  • Inverse metabolic engineering: a strategy for directed genetic engineering of useful phenotypes

    James E. Bailey;Adriana Sburlati;Vassily Hatzimanikatis;Kelvin Lee

  • Physiology and metabolic fluxes of wild-type and riboflavin-producing Bacillus subtilis.

    U. Sauer;V. Hatzimanikatis;H.-P. Hohmann;M. Manneberg

  • Fremgangsmater for fremstilling av utvalgte organiske produkter ved hjelp av mikroorganismer med crabtree-negativ fenotype, anvendelse av mikroorgansimene for fremstilling av melkesyre og K. thermotolerans gjaerstamme.

    Kolstad Jeffrey John;Eyal Aharon Meir;Carlson Ting Liu;Starr John N

  • Discovery and analysis of novel metabolic pathways for the biosynthesis of industrial chemicals: 3-hydroxypropanoate

    Christopher S. Henry;Linda J. Broadbelt;Vassily Hatzimanikatis;Vassily Hatzimanikatis

  • Metabolic Control Analysis under Uncertainty: Framework Development and Case Studies

    Liqing Wang;Inanç Birol;Vassily Hatzimanikatis

  • Towards kinetic modeling of genome‐scale metabolic networks without sacrificing stoichiometric, thermodynamic and physiological constraints

    Anirikh Chakrabarti;Anirikh Chakrabarti;Ljubisa Miskovic;Ljubisa Miskovic;Keng Cher Soh;Keng Cher Soh;Vassily Hatzimanikatis;Vassily Hatzimanikatis

  • Analysis and design of metabolic reaction networks via mixed‐integer linear optimization

    Vassily Hatzimanikatis;Christodoulos A. Floudas;James E. Bailey

  • Dynamical analysis of gene networks requires both mRNA and protein expression information

    Vassily Hatzimanikatis;Kelvin H. Lee

  • ATLAS of Biochemistry: A Repository of All Possible Biochemical Reactions for Synthetic Biology and Metabolic Engineering Studies.

    Noushin Hadadi;Jasmin Hafner;Adrian Shajkofci;Aikaterini Zisaki

  • Insights into the relation between mRNA and protein expression patterns: I. Theoretical considerations.

    Amit Mehra;Kelvin H. Lee;Vassily Hatzimanikatis

  • Proteomics: Theoretical and Experimental Considerations

    Vassily Hatzimanikatis;Leila H. Choe;Kelvin H. Lee

Frequent Co-Authors

Linda J. Broadbelt
Linda J. Broadbelt Northwestern University
Jens Nielsen
Jens Nielsen Chalmers University of Technology
Kelvin H. Lee
Kelvin H. Lee University of Delaware
Lars M. Blank
Lars M. Blank RWTH Aachen University
Adam M. Feist
Adam M. Feist University of California, San Diego
Sang Yup Lee
Sang Yup Lee Korea Advanced Institute of Science and Technology
Dominique Soldati-Favre
Dominique Soldati-Favre University of Geneva
Bernhard O. Palsson
Bernhard O. Palsson University of California, San Diego
Costas Panayiotou
Costas Panayiotou Aristotle University of Thessaloniki

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