World's Best Scientists 2026 revealed!
Award Badge
Engineering and Technology
Switzerland
2022

D-Index & Metrics

Engineering and Technology

D-Index
65
Citations
61305
World Ranking
1478
National Ranking
27

Torsten Schwede 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 Torsten Schwede 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Torsten Schwede 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 Torsten Schwede 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: 65 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2022 - Research.com Engineering and Technology in Switzerland Leader Award

Overview

Torsten Schwede is affiliated with the University of Basel in Switzerland and has contributed to the field of Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology. Their research spans several subfields, including Materials Chemistry, Computational Theory and Mathematics, Infectious Diseases, and Oncology.

The main topics addressed in Schwede's work include:

  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • Microbial Metabolic Engineering and Bioproduction
  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies

Schwede has published extensively in several scientific venues. Key frequent publication sources include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proteins Structure Function and Bioinformatics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Bioinformatics
  • Journal of Molecular Biology

Among the notable recent papers by Schwede are:

  • Critical assessment of methods of protein structure prediction (CASP)-Round XIV, 2021, Proteins Structure Function and Bioinformatics
  • ProMod3-A versatile homology modelling toolbox, 2021, PLoS Computational Biology
  • QMEANDisCo-distance constraints applied on model quality estimation, 2020, Bioinformatics
  • Uncovering new families and folds in the natural protein universe, 2023, Nature
  • Critical assessment of methods of protein structure prediction ( CASP )-Round XV, 2023, Proteins Structure Function and Bioinformatics

Frequent co-authors in Schwede's work include:

  • Gerardo Tauriello
  • Janani Durairaj
  • Gabriel Studer
  • Joana Pereira
  • Andrew Waterhouse

Best Publications

  • SWISS-MODEL: homology modelling of protein structures and complexes.

    Andrew Waterhouse;Andrew Waterhouse;Martino Bertoni;Martino Bertoni;Stefan Bienert;Stefan Bienert;Gabriel Studer;Gabriel Studer

  • The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling

    Konstantin Arnold;Lorenza Bordoli;Jürgen Kopp;Torsten Schwede

  • SWISS-MODEL: an automated protein homology-modeling server

    Torsten Schwede;Jürgen Kopp;Nicolas Guex;Manuel C. Peitsch

  • SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information

    Marco Biasini;Stefan Bienert;Andrew Waterhouse;Konstantin Arnold

  • Toward the estimation of the absolute quality of individual protein structure models

    Pascal Benkert;Marco Biasini;Torsten Schwede

  • The SWISS-MODEL Repository and associated resources

    Florian Kiefer;Konstantin Arnold;Michael Künzli;Lorenza Bordoli

  • Automated comparative protein structure modeling with SWISS-MODEL and Swiss-PdbViewer: a historical perspective.

    Nicolas Guex;Manuel C. Peitsch;Torsten Schwede;Torsten Schwede

  • The SWISS-MODEL Repository—new features and functionality

    Unknown

  • Protein structure homology modeling using SWISS-MODEL workspace

    Lorenza Bordoli;Florian Kiefer;Florian Kiefer;Konstantin Arnold;Konstantin Arnold;Pascal Benkert;Pascal Benkert

  • lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

    Valerio Mariani;Marco Biasini;Alessandro Barbato;Torsten Schwede

  • The SWISS-MODEL Repository: new features and functionalities.

    Jürgen Kopp;Torsten Schwede

  • QMEAN server for protein model quality estimation

    Pascal Benkert;Michael Künzli;Torsten Schwede

  • QMEANDisCo-distance constraints applied on model quality estimation.

    Gabriel Studer;Gabriel Studer;Christine Rempfer;Christine Rempfer;Andrew M Waterhouse;Andrew M Waterhouse;Rafal Gumienny;Rafal Gumienny

  • Modeling protein quaternary structure of homo- and hetero-oligomers beyond binary interactions by homology

    Martino Bertoni;Martino Bertoni;Florian Kiefer;Florian Kiefer;Marco Biasini;Marco Biasini;Lorenza Bordoli;Lorenza Bordoli

  • Critical assessment of methods of protein structure prediction (CASP)-Round XIII

    Andriy Kryshtafovych;Torsten Schwede;Maya Topf;Krzysztof Fidelis

  • Critical assessment of methods of protein structure prediction (CASP)-Round XIV.

    Andriy Kryshtafovych;Torsten Schwede;Maya Topf;Krzysztof Fidelis

  • The SWISS‐MODEL Repository of annotated three‐dimensional protein structure homology models

    Jürgen Kopp;Torsten Schwede

  • Second messenger-mediated spatiotemporal control of protein degradation regulates bacterial cell cycle progression

    Anna Duerig;Sören Abel;Marc Folcher;Micael Nicollier

  • The Protein Model Portal--a comprehensive resource for protein structure and model information.

    Juergen Haas;Steven Roth;Konstantin Arnold;Florian Kiefer

  • Critical assessment of methods of protein structure prediction: Progress and new directions in round XI

    John Moult;Krzysztof Fidelis;Andriy Kryshtafovych;Torsten Schwede

  • 2017 publication guidelines for structural modelling of small-angle scattering data from biomolecules in solution: an update.

    Jill Trewhella;Anthony P. Duff;Dominique Durand;Frank Gabel

Frequent Co-Authors

Helen M. Berman
Helen M. Berman Rutgers, The State University of New Jersey
John D. Westbrook
John D. Westbrook Rutgers, The State University of New Jersey
Andriy Kryshtafovych
Andriy Kryshtafovych University of California, Davis
Paul D. Adams
Paul D. Adams Lawrence Berkeley National Laboratory
Manuel C. Peitsch
Manuel C. Peitsch Philip Morris International (United States)
John Moult
John Moult University of Maryland, College Park
Wladek Minor
Wladek Minor University of Virginia
Stephen K. Burley
Stephen K. Burley Rutgers, The State University of New Jersey
Andrej Sali
Andrej Sali University of California, San Francisco
Andrzej Joachimiak
Andrzej Joachimiak Argonne National Laboratory

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:

Best Scientists Citing Torsten Schwede

Trending Scientists

Recently Published Articles