World's Best Scientists 2026 revealed!
Jörg Stelling

Jörg Stelling

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
9278
World Ranking
8562
National Ranking
122

Jörg Stelling 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 Jörg Stelling 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: 115 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Jörg Stelling 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 Jörg Stelling 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Jörg Stelling is affiliated with ETH Zurich in Switzerland and has contributed extensively to the field of biochemistry, genetics, and molecular biology. Their research spans several subfields including molecular biology, genetics, computational theory and mathematics, biotechnology, and hardware and architecture.

The main topics covered in their work include:

  • Gene Regulatory Network Analysis
  • CRISPR and Genetic Engineering
  • Microbial Metabolic Engineering and Bioproduction
  • Evolution and Genetic Dynamics
  • Bioinformatics and Genomic Networks
  • Computational Drug Discovery Methods
  • Metabolomics and Mass Spectrometry Studies

Their recent publications illustrate a focus on synthetic biology, bioinformatics, and system biology approaches, with notable papers such as:

  • <scp>SBML</scp> Level 3: an extensible format for the exchange and reuse of biological models (2020), published in Molecular Systems Biology
  • Multistable and dynamic CRISPRi-based synthetic circuits (2020), published in Nature Communications
  • Robustness and innovation in synthetic genotype networks (2023), published in Nature Communications
  • ENKIE: a package for predicting enzyme kinetic parameter values and their uncertainties (2024), published in Bioinformatics
  • Synthetic genotype networks (2022), published in bioRxiv (Cold Spring Harbor Laboratory)

Their frequent co-authors include Javier Santos-Moreno, Eve Tasiudi, Yolanda Schaerli, Hadiastri Kusumawardhani, and Hans-Michael Kaltenbach. These collaborations contribute to research published primarily in venues such as Nature Communications, bioRxiv (Cold Spring Harbor Laboratory), Molecular Systems Biology, Bioinformatics, and Cell Host & Microbe.

Jörg Stelling's body of work reflects a multidisciplinary approach combining experimental and computational methods, making contributions across various topics in genetic engineering, system biology, and enzyme kinetics prediction.

Best Publications

  • The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

    M. Hucka;A. Finney;H. M. Sauro;H. Bolouri;H. Bolouri

  • Robustness of cellular functions

    Jörg Stelling;Uwe Sauer;Zoltan Szallasi;Francis J. Doyle

  • Metabolic network structure determines key aspects of functionality and regulation

    Jörg Stelling;Steffen Klamt;Katja Bettenbrock;Stefan Schuster

  • A tunable synthetic mammalian oscillator

    Marcel Tigges;Tatiana T. Marquez-Lago;Tatiana T. Marquez-Lago;Jörg Stelling;Jörg Stelling;Martin Fussenegger

  • Microbial network disturbances in relapsing refractory Crohn's disease.

    Bahtiyar Yilmaz;Pascal Juillerat;Ove Øyås;Charlotte Ramon

  • Large-scale computation of elementary flux modes with bit pattern trees

    Marco Terzer;Jörg Stelling

  • Two approaches for metabolic pathway analysis

    Steffen Klamt;Jörg Stelling

  • Global Network Reorganization During Dynamic Adaptations of Bacillus subtilis Metabolism

    Joerg Martin Buescher;Wolfram Liebermeister;Matthieu Jules;Markus Uhr

  • Robustness properties of circadian clock architectures.

    Jörg Stelling;Ernst Dieter Gilles;Francis J. Doyle

  • Self-sufficient control of urate homeostasis in mice by a synthetic circuit

    Christian Kemmer;Marc Gitzinger;Marie Daoud-El Baba;Valentin Djonov

  • Combinatorial complexity of pathway analysis in metabolic networks.

    Steffen Klamt;Jörg Stelling

  • System Modeling in Cellular Biology: From Concepts to Nuts and Bolts

    Zoltan Szallasi;Jörg Stelling;Vipul Periwal

  • FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps.

    Steffen Klamt;Jörg Stelling;Martin Ginkel;Ernst Dieter Gilles

  • Mathematical models in microbial systems biology.

    Jörg Stelling

  • Ensemble modeling for analysis of cell signaling dynamics

    Lars Kuepfer;Matthias Peter;Uwe Sauer;Jörg Stelling

  • β-cell-mimetic designer cells provide closed-loop glycemic control.

    Mingqi Xie;Haifeng Ye;Hui Wang;Ghislaine Charpin-El Hamri

  • Genome-scale metabolic networks.

    Marco Terzer;Nathaniel D. Maynard;Markus W. Covert;Jörg Stelling

  • Computational design of synthetic gene circuits with composable parts

    M.A. Marchisio;J. Stelling

  • Subnetwork analysis reveals dynamic features of complex (bio)chemical networks

    Carsten Conradi;Dietrich Flockerzi;Jörg Raisch;Jörg Raisch;Jörg Stelling

  • Computational design tools for synthetic biology.

    Mario A Marchisio;Jörg Stelling

  • Synthetic two-way communication between mammalian cells.

    William Bacchus;Moritz Lang;Marie Daoud El-Baba;Wilfried Weber;Wilfried Weber

  • Automatic Design of Digital Synthetic Gene Circuits

    Mario A. Marchisio;Jörg Stelling

Frequent Co-Authors

Zoltan Szallasi
Zoltan Szallasi Boston Children's Hospital
Francis J. Doyle
Francis J. Doyle Brown University
Martin Fussenegger
Martin Fussenegger University of Basel
Uwe Sauer
Uwe Sauer ETH Zurich
Michel O. Steinmetz
Michel O. Steinmetz Paul Scherrer Institute
Steffen Klamt
Steffen Klamt Max Planck Institute for Dynamics of Complex Technical Systems
Ernst Dieter Gilles
Ernst Dieter Gilles Max Planck Society
Sebastien Gagneux
Sebastien Gagneux University of Basel
Sonia Borrell
Sonia Borrell Swiss Tropical and Public Health Institute
Wilfried Weber
Wilfried Weber University of Freiburg

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