World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
7120
World Ranking
7636
National Ranking
473

Guy-Bart Stan 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 Guy-Bart Stan 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: 159 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Guy-Bart Stan 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 Guy-Bart Stan 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Guy-Bart Stan is affiliated with Imperial College London in the United Kingdom. Their research spans primarily within the field of Biochemistry, Genetics and Molecular Biology, with a focus on several subfields including Molecular Biology, Biomedical Engineering, Genetics, Ecology, and Biophysics.

The scientist's work covers multiple major topics such as Gene Regulatory Network Analysis, RNA and protein synthesis mechanisms, CRISPR and Genetic Engineering, Advanced biosensing and bioanalysis techniques, DNA and Nucleic Acid Chemistry, Bacteriophages and microbial interactions, and Bacterial Genetics and Biotechnology.

Stan has contributed to numerous publications, including the following recent papers:

  • Characterization and mitigation of gene expression burden in mammalian cells (2020, Nature Communications)
  • Quorum sensing in synthetic biology: A review (2021, Current Opinion in Systems Biology)
  • Handhold-Mediated Strand Displacement: A Nucleic Acid Based Mechanism for Generating Far-from-Equilibrium Assemblies through Templated Reactions (2021, ACS Nano)
  • Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations (2021, SIAM Review)
  • Control engineering and synthetic biology: working in synergy for the analysis and control of microbial systems (2021, Current Opinion in Microbiology)

Frequent co-authors collaborating with Stan include:

  • Wooli Bae
  • Thomas E. Ouldridge
  • Rodrigo Ledesma-Amaro
  • Javier Cabello-García
  • Yiren Zhao

Stan's publications often appear in recognized venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Communications
  • Nucleic Acids Research

The focus of Stan's scholarly output is situated in understanding complex biological systems through experimental and theoretical approaches. This includes exploring genetic regulatory mechanisms, synthetic biology applications, and molecular processes underpinning RNA and protein synthesis.

Best Publications

  • Comparison of different impulse response measurement techniques

    Guy-Bart Stan;Jean-Jacques Embrechts;Dominique Archambeau

  • Burden-driven feedback control of gene expression

    Francesca Ceroni;Alice Boo;Simone Furini;Thomas E. Gorochowski

  • Analysis of Interconnected Oscillators by Dissipativity Theory

    G.-B. Stan;R. Sepulchre

  • The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology

    Michal Galdzicki;Kevin P. Clancy;Ernst Oberortner;Matthew Pocock

  • Overloaded and stressed: whole-cell considerations for bacterial synthetic biology.

    Olivier Borkowski;Francesca Ceroni;Guy-Bart Stan;Tom Ellis

  • Brief paper: Robust dynamical network structure reconstruction

    Ye Yuan;Guy-Bart Stan;Sean Warnick;Jorge Goncalves

  • Tools for engineering coordinated system behaviour in synthetic microbial consortia.

    Nicolas Kylilis;Zoltan A. Tuza;Guy-Bart Stan;Karen M. Polizzi

  • Decentralised minimum-time consensus

    Ye Yuan;Guy-Bart Stan;Ling Shi;Mauricio Barahona

  • Building-in biosafety for synthetic biology

    Oliver Wright;Guy-Bart Stan;Tom Ellis

  • A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems

    Wei Pan;Ye Yuan;Jorge Goncalves;Guy-Bart Stan

  • Clinical data based optimal STI strategies for HIV: a reinforcement learning approach

    Damien Ernst;Guy-Bart Stan;Jorge Goncalves;Louis Wehenkel

  • GeneGuard: A Modular Plasmid System Designed for Biosafety

    Oliver Wright;Mihails Delmans;Guy-Bart Stan;Tom Ellis

  • Fast Consensus Via Predictive Pinning Control

    Hai-Tao Zhang;Michael Z. Q. Chen;Guy-Bart Stan

  • Tuning the dials of Synthetic Biology.

    James A. J. Arpino;Edward J. Hancock;James B. Anderson;James B. Anderson;Mauricio Barahona

  • Collective behavior coordination with predictive mechanisms

    Hai-Tao Zhang;M.Z. Chen;G.-B. Stan;Tao Zhou

  • Computational design approaches and tools for synthetic biology

    James T. MacDonald;Chris Barnes;Richard I. Kitney;Paul S. Freemont

  • SBOL Visual: A Graphical Language for Genetic Designs

    Jacqueline Y. Quinn;Robert Sidney Cox;Aaron Adler;Jacob Beal

  • Noise Propagation in Synthetic Gene Circuits for Metabolic Control

    Diego A. Oyarzún;Jean-Baptiste Lugagne;Guy-Bart V. Stan

  • Correct biological timing in Arabidopsis requires multiple light-signaling pathways

    Neil Dalchau;Katharine E. Hubbard;Fiona C. Robertson;Carlos T. Hotta

  • Observability and coarse graining of consensus dynamics through the external equitable partition.

    Neave O’Clery;Ye Yuan;Guy-Bart Stan;Mauricio Barahona

  • Arterial reservoir-excess pressure and ventricular work.

    Kim H. Parker;Jordi Alastruey;Guy-Bart Stan

Frequent Co-Authors

Mauricio Barahona
Mauricio Barahona Imperial College London
Wei Pan
Wei Pan University of Hong Kong
Damien Ernst
Damien Ernst University of Liège
Jacob Beal
Jacob Beal Raytheon (United States)
Herbert M. Sauro
Herbert M. Sauro University of Washington
Chris J. Myers
Chris J. Myers University of Colorado Boulder
Paul S. Freemont
Paul S. Freemont Imperial College London
Rodolphe Sepulchre
Rodolphe Sepulchre University of Cambridge
Hai-Tao Zhang
Hai-Tao Zhang Huazhong University of Science and Technology
John H. Gennari
John H. Gennari University of Washington

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