World's Best Scientists 2026 revealed!
Nicolas Le Novère

Nicolas Le Novère

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
17441
World Ranking
2436
National Ranking
165

Nicolas Le Novère 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 Nicolas Le Novère sits on this spectrum.

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 publications 804+

This scientist: 167 publications — 34th percentile

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

The last bar groups every scientist with 804 publications or more.

Nicolas Le Novère 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 Nicolas Le Novère sits on this spectrum.

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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Nicolas Le Novère is affiliated with the Babraham Institute in the United Kingdom. Their research spans multiple fields of study, with a focus primarily on Medicine, Biochemistry, Genetics and Molecular Biology, and Neuroscience. The scientist's work is further detailed through subfields including Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Epidemiology, and Pharmacology.

The major topics covered in their research include Neurotransmitter Receptor Influence on Behavior, Adipose Tissue and Metabolism, Receptor Mechanisms and Signaling, Autophagy in Disease and Therapy, Cannabis and Cannabinoid Research, Lipid Metabolism and Biosynthesis, and Neuropeptides and Animal Physiology.

Several recent papers authored or coauthored by Nicolas Le Novère demonstrate the scope and diversity of research interests. These include:

  • ATG13 dynamics in nonselective autophagy and mitophagy: insights from live imaging studies and mathematical modeling, 2020, Autophagy
  • Translational profiling of mouse dopaminoceptive neurons reveals region-specific gene expression, exon usage, and striatal prostaglandin E2 modulatory effects, 2022, Molecular Psychiatry
  • Operant Training for Highly Palatable Food Alters Translating Messenger RNA in Nucleus Accumbens D2 Neurons and Reveals a Modulatory Role of Ncdn, 2023, Biological Psychiatry
  • Translational profiling of mouse dopaminoceptive neurons reveals a role of PGE2 in dorsal striatum, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Operant training for highly palatable food alters translating mRNA in nucleus accumbens D2 neurons and reveals a modulatory role of Neurochondrin, 2023, bioRxiv (Cold Spring Harbor Laboratory)

The scientist has published multiple articles in key venues such as bioRxiv (Cold Spring Harbor Laboratory), Autophagy, Molecular Psychiatry, and Biological Psychiatry.

Nicolas Le Novère often collaborates with other researchers. Frequent coauthors include Enrica Montalban, Albert Giralt, Lieng Taing, Yuki Nakamura, and Benoit de Pins.

Best Publications

  • A community-driven global reconstruction of human metabolism

    Ines Thiele;Neil Swainston;Ronan M T Fleming;Andreas Hoppe

  • The Systems Biology Graphical Notation

    Nicolas Le Novere;Michael Hucka;Huaiyu Mi;Stuart Moodie

  • BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems

    Nicolas Le Novère;Benjamin J. Bornstein;Alexander Broicher;Mélanie Courtot

  • The BioPAX community standard for pathway data sharing

    Emek Demir;Emek Demir;Michael P. Cary;Suzanne Paley;Ken Fukuda

  • 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

  • Biomodels database: an enhanced curated and annotated resource for published quantitative kinetic models

    Chen Li;Marco Donizelli;Nicolas Rodriguez;Harish Dharuri

  • Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

    Chris F. Taylor;Chris F. Taylor;Dawn Field;Susanna Assunta Sansone;Susanna Assunta Sansone;Jan Aerts

  • Quantitative and logic modelling of molecular and gene networks

    Nicolas Le Novère

  • Brain nicotinic receptors: structure and regulation, role in learning and reinforcement.

    Jean-Pierre Changeux;Daniel Bertrand;Pierre-Jean Corringer;Stanislas Dehaene

  • Novel pharmacological targets for the treatment of Parkinson's disease

    Anthony H V Schapira;Erwan Bezard;Jonathan Brotchie;Frédéric Calon

  • Controlled vocabularies and semantics in systems biology

    Mélanie Courtot;Nick Juty;Christian Knüpfer;Dagmar Waltemath

  • BioModels: ten-year anniversary

    Vijayalakshmi Chelliah;Nick S. Juty;Ishan Ajmera;Raza Ali

  • The EBI RDF Platform: Linked Open Data for the Life Sciences

    Simon Jupp;James Malone;Jerven T. Bolleman;Marco Brandizi

  • STOCHSIM: modelling of stochastic biomolecular processes.

    Nicolas Le Novère;Thomas Simon Shimizu

  • Reproducible computational biology experiments with SED-ML--the Simulation Experiment Description Markup Language.

    Dagmar Waltemath;Richard R. Adams;Frank T. Bergmann;Michael Hucka

  • Cooperative Binding

    Melanie I. Stefan;Nicolas Le Novère

  • Molecular model of a lattice of signalling proteins involved in bacterial chemotaxis

    Thomas Simon Shimizu;Nicolas Le Novere;Matthew Daniel Levin;Andrew J. Beavil

  • The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 1 Core.

    Michael Hucka;Frank T. Bergmann;Claudine Chaouiya;Andreas Dräger

  • Normal Mode Analysis Suggests a Quaternary Twist Model for the Nicotinic Receptor Gating Mechanism

    Antoine Taly;Marc Delarue;Thomas Grutter;Michael Nilges

  • Finding Our Way through Phenotypes.

    Andrew R. Deans;Suzanna E. Lewis;Eva Huala;Salvatore S. Anzaldo

Frequent Co-Authors

Michael Hucka
Michael Hucka California Institute of Technology
Falk Schreiber
Falk Schreiber University of Konstanz
Jean-Pierre Changeux
Jean-Pierre Changeux Institut Pasteur
Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Jacky L. Snoep
Jacky L. Snoep Stellenbosch University
Chris J. Myers
Chris J. Myers University of Colorado Boulder
Herbert M. Sauro
Herbert M. Sauro University of Washington
Michel Dumontier
Michel Dumontier Maastricht University
Neil Swainston
Neil Swainston Epoch BioDesign
Gary D. Bader
Gary D. Bader University of Toronto

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