World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
7590
World Ranking
4654
National Ranking
90

Jean-Loup Faulon 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 Jean-Loup Faulon 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: 183 publications — 41st percentile

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

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

Jean-Loup Faulon 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 Jean-Loup Faulon 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: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Overview

Jean-Loup Faulon is affiliated with the University of Paris-Saclay in France. Their research primarily focuses on biochemistry, genetics, and molecular biology, with extensive work in molecular biology as a subfield. Their studies also span genetics, artificial intelligence, biophysics, and radiology, nuclear medicine, and imaging.

Their scientific inquiry covers a wide range of topics including microbial metabolic engineering and bioproduction, gene regulatory network analysis, RNA and protein synthesis mechanisms, CRISPR and genetic engineering, viral infectious diseases and gene expression in insects, protein structure and dynamics, and bacterial genetics and biotechnology.

Selected recent publications by Jean-Loup Faulon illustrate interdisciplinary approaches combining experimental biology with computational techniques. These papers include:

  • "Large scale active-learning-guided exploration for in vitro protein production optimization" (2020) published in Nature Communications
  • "A versatile active learning workflow for optimization of genetic and metabolic networks" (2022) published in Nature Communications
  • "Engineering Escherichia coli towards de novo production of gatekeeper (2S)-flavanones: naringenin, pinocembrin, eriodictyol and homoeriodictyol" (2020) published in Synthetic Biology
  • "A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models" (2023) published in Nature Communications
  • "Differentially Optimized Cell-Free Buffer Enables Robust Expression from Unprotected Linear DNA in Exonuclease-Deficient Extracts" (2022) published in ACS Synthetic Biology

Jean-Loup Faulon frequently publishes in venues such as bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Nature Communications, ACS Synthetic Biology, and Biotechnology Advances. Their publishing record indicates sustained contributions across these platforms, reflecting engagement with both preprint and peer-reviewed scientific communication.

Collaborations form a significant part of their research activities. Key coauthors include Thomas Duigou, Pablo Carbonell, Manish Kushwaha, Melchior Du, and Paul Soudier, with multiple joint publications demonstrating ongoing scientific partnerships.

Best Publications

  • Predicting protein--protein interactions using signature products

    Shawn Martin;Diana Roe;Jean-Loup Faulon

  • The signature molecular descriptor. 1. Using extended valence sequences in QSAR and QSPR studies.

    Jean-Loup Faulon;Donald P Visco;Ramdas S Pophale

  • An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals

    Pablo Carbonell;Adrian J. Jervis;Christopher J. Robinson;Cunyu Yan

  • RetroPath2.0: A retrosynthesis workflow for metabolic engineers.

    Baudoin Delépine;Thomas Duigou;Pablo Carbonell;Jean-Loup Faulon

  • Boolean dynamics of genetic regulatory networks inferred from microarray time series data

    Shawn Martin;Zhaoduo Zhang;Anthony Martino;Jean-Loup Faulon

  • Genome scale enzyme–metabolite and drug–target interaction predictions using the signature molecular descriptor

    Jean-Loup Faulon;Milind Misra;Shawn Martin;Ken Sale

  • The Signature Molecular Descriptor. 2. Enumerating Molecules from Their Extended Valence Sequences

    Jean-Loup Faulon;Carla J Churchwell;Donald P Visco

  • Systems chemical biology.

    Tudor I. Oprea;Alexander Tropsha;Jean Loup Faulon;Mark D. Rintoul

  • 3-D Structural Modeling of Humic Acids through Experimental Characterization, Computer Assisted Structure Elucidation and Atomistic Simulations. 1. Chelsea Soil Humic Acid

    Mamadou S. Diallo;Andre Simpson;Paul L. Gassman;Jean Loup Faulon

  • Plug-and-play metabolic transducers expand the chemical detection space of cell-free biosensors

    Peter L. Voyvodic;Amir Pandi;Mathilde Koch;Ismael Conejero;Ismael Conejero

  • The signature molecular descriptor: 3. Inverse-quantitative structure–activity relationship of ICAM-1 inhibitory peptides

    Carla J Churchwell;Mark D Rintoul;Shawn Martin;Donald P Visco

  • A retrosynthetic biology approach to metabolic pathway design for therapeutic production

    Pablo Carbonell;Anne-Gaëlle G Planson;Davide Fichera;Jean-Loup L Faulon

  • Microbial Genes for a Circular and Sustainable Bio-PET Economy

    Manuel Salvador;Umar Abdulmutalib;Jaime Gonzalez;Juhyun Kim

  • Reinforcement Learning for Bioretrosynthesis

    Mathilde Koch;Thomas Duigou;Jean-Loup Faulon

  • A structural model for lignin-derived vitrinite from high-volatile bituminous coal (coalified wood)

    Patrick G. Hatcher;Jean Loup Faulon;Kurt A. Wenzel;George D. Cody

  • Developing a methodology for an inverse quantitative structure-activity relationship using the signature molecular descriptor.

    Donald P. Visco;Ramdas S. Pophale;Mark D. Rintoul;Jean-Loup Faulon

  • Large scale active-learning-guided exploration for in vitro protein production optimization.

    Olivier Borkowski;Mathilde Koch;Agnès Zettor;Amir Pandi

  • XTMS: pathway design in an eXTended metabolic space

    Pablo Carbonell;Pierre Parutto;Joan Herisson;Shashi Bhushan Pandit

  • RetroRules: a database of reaction rules for engineering biology.

    Thomas Duigou;Melchior du Lac;Pablo Carbonell;Jean-Loup Faulon;Jean-Loup Faulon

  • The signature molecular descriptor. 4. Canonizing molecules using extended valence sequences.

    Jean-Loup Faulon;Michael J Collins;Robert D Carr

  • Preliminary Results on Molecular Modeling of Asphaltenes Using Structure Elucidation Programs in Conjunction with Molecular Simulation Programs

    I. Kowalewski;M. Vandenbroucke;A. Y. Huc;M. J. Taylor

  • Isomorphism, Automorphism Partitioning, and Canonical Labeling Can Be Solved in Polynomial-Time for Molecular Graphs

    Jean-Loup Faulon

  • Handbook of Chemoinformatics Algorithms

    Jean-Loup Faulon;Andreas Bender

  • Stochastic Generator of Chemical Structure. 1. Application to the Structure Elucidation of Large Molecules

    Jean-Loup Faulon

Frequent Co-Authors

Neil Swainston
Neil Swainston Epoch BioDesign
Nigel S. Scrutton
Nigel S. Scrutton University of Manchester
Rainer Breitling
Rainer Breitling University of Manchester
Douglas B. Kell
Douglas B. Kell University of Liverpool
Patrick G. Hatcher
Patrick G. Hatcher Old Dominion University
Eriko Takano
Eriko Takano University of Manchester
Nicholas J. Turner
Nicholas J. Turner University of Manchester
Jason Micklefield
Jason Micklefield University of Manchester
Steven J. Plimpton
Steven J. Plimpton Sandia National Laboratories
William A. Goddard
William A. Goddard California Institute of Technology

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