World's Best Scientists 2026 revealed!
Nicolas Le Novère

Nicolas Le Novère

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 58 2436 2326 165 153 167 17441

Nicolas Le Novère publications per year

The chart shows the history of publications by Nicolas Le Novère between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nicolas Le Novère published across 31 years, from 1995 to 2025, averaging 7 papers a year. Output peaked at 25 publications in 2015. 1 of the 218 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2015. 1995: 1 publication 1996: 2 publications 1997: 0 publications 1998: 3 publications 1999: 5 publications 2000: 4 publications 2001: 5 publications 2002: 3 publications 2003: 5 publications 2004: 4 publications 2005: 3 publications 2006: 8 publications 2007: 5 publications 2008: 10 publications 2009: 8 publications 2010: 18 publications 2011: 20 publications 2012: 17 publications 2013: 15 publications 2014: 8 publications 2015: 25 publications 2016: 7 publications 2017: 10 publications 2018: 12 publications 2019: 9 publications 2020: 3 publications 2021: 4 publications 2022: 1 publication 2023: 2 publications 2024: 0 publications 2025: 1 publication
1995 2025

218 publications in total across all disciplines

View publications per year as a table
Nicolas Le Novère: publications per year, 1995 to 2025
Year Publications
1995 1
1996 2
1997 0
1998 3
1999 5
2000 4
2001 5
2002 3
2003 5
2004 4
2005 3
2006 8
2007 5
2008 10
2009 8
2010 18
2011 20
2012 17
2013 15
2014 8
2015 25
2016 7
2017 10
2018 12
2019 9
2020 3
2021 4
2022 1
2023 2
2024 0
2025 1
Total 218
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 158–167 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415 167
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 58 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166 58
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Engineering and Technology in the USA can open doors to a wide range of career paths. Many students opt for advanced online degrees that blend technical knowledge with business acumen. For those interested in leadership within manufacturing, logistics, or technology, an online MBA in operations management provides specialized training in process optimization and organizational efficiency.

Students often seek flexible admission criteria. Choosing a no gmat online mba allows you to bypass standardized test requirements and speed up your enrollment process. Additionally, cost is a significant consideration. Many top programs now offer a quality online mba under 25k, making advanced study more accessible for international students and working professionals.

Finally, as technology and media continue to converge, professionals interested in digital innovation may consider degrees in social media. These programs equip graduates with skills in digital communication, analytics, and content strategy—essential abilities in tech-driven industries.

Best Scientists Citing Nicolas Le Novère

Trending Scientists

Recently Published Articles