World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
72
Citations
30639
World Ranking
5144
National Ranking
374

Engineering and Technology

D-Index
71
Citations
28828
World Ranking
946
National Ranking
27

Johann Gasteiger 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 Johann Gasteiger 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: 274 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Johann Gasteiger 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 Johann Gasteiger 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: 71 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Johann Gasteiger is affiliated with the University of Erlangen-Nuremberg in Germany. Their research spans across multiple areas within computer science and biochemistry, genetics, and molecular biology, with a particular focus on computational approaches to drug discovery and molecular studies.

Their main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these fields, their work delves into various subfields such as:

  • Computational Theory and Mathematics
  • Molecular Biology
  • Materials Chemistry
  • Infectious Diseases
  • Oncology

The primary research topics covered by Johann Gasteiger's publications are:

  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • Genetics, Bioinformatics, and Biomedical Research
  • Metabolomics and Mass Spectrometry Studies
  • HIV/AIDS drug development and treatment
  • Drug Transport and Resistance Mechanisms
  • Molecular spectroscopy and chirality

Their recent papers showcase a range of relevant contributions, including:

  • Chemistry in Times of Artificial Intelligence (2020), published in ChemPhysChem
  • Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds (2022), published in Journal of Cheminformatics
  • Performance of Radial Distribution Function-Based Descriptors in the Chemoinformatic Studies of HIV-1 Protease (2020), published in Future Medicinal Chemistry
  • My 50 Years with Chemoinformatics (2024), published in Molecular Informatics
  • QSAR Modeling: Where Have You Been? Where Are You Going To? (2020), published by UNC Libraries

Frequent co-authors collaborating with Johann Gasteiger include:

  • Jürgen Bajorath
  • Ana L. Chávez-Hernández
  • Miquel Duran-Frigola
  • Eli Fernández-de Gortari
  • Edgar López-López

Their work has been disseminated primarily in the following publication venues:

  • Molecular Informatics
  • ChemPhysChem
  • Journal of Cheminformatics
  • Future Medicinal Chemistry
  • UNC Libraries

Best Publications

  • ITERATIVE PARTIAL EQUALIZATION OF ORBITAL ELECTRONEGATIVITY – A RAPID ACCESS TO ATOMIC CHARGES

    Johann Gasteiger;Mario Marsili

  • QSAR Modeling: Where have you been? Where are you going to?

    Artem Cherkasov;Eugene N. Muratov;Eugene N. Muratov;Denis Fourches;Alexandre Varnek

  • Virtual computational chemistry laboratory - design and description

    Igor V. Tetko;Johann Gasteiger;Roberto Todeschini;Andrea Mauri

  • Neural Networks for Chemists: An Introduction

    Jure Zupan;Johann Gasteiger

  • Neural networks in chemistry and drug design

    Jure Zupan;Johann Gasteiger

  • Encyclopedia of computational chemistry

    Peter R. Schreiner;Norman L. Allinger;Terry W. Clark;Johann Gasteiger

  • Neural networks: A new method for solving chemical problems or just a passing phase?

    J. Zupan;J. Gasteiger

  • Comparison of Automatic Three-Dimensional Model Builders Using 639 X-ray Structures

    Jens Sadowski;Johann Gasteiger;Gerhard Klebe

  • Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

    Iurii Sushko;Sergii Novotarskyi;Robert Körner;Anil Kumar Pandey

  • A new model for calculating atomic charges in molecules

    Johann Gasteiger;Mario Marsili

  • Automatic generation of 3D-atomic coordinates for organic molecules

    J. Gasteiger;C. Rudolph;J. Sadowski

  • Chemoinformatics: A Textbook

    Johann Gasteiger;Thomas Engel

  • Electronegativity equalization: application and parametrization

    Wilfried J. Mortier;Karin Van Genechten;Johann Gasteiger

  • FROM ATOMS AND BONDS TO THREE-DIMENSIONAL ATOMIC COORDINATES : AUTOMATIC MODEL BUILDERS

    Jens. Sadowski;Johann. Gasteiger

  • Neural Networks in Chemistry

    Johann Gasteiger;Jure Zupan

  • The Coding of the Three-Dimensional Structure of Molecules by Molecular Transforms and Its Application to Structure-Spectra Correlations and Studies of Biological Activity

    Jan H. Schuur;and Paul Selzer;Johann Gasteiger

  • Autocorrelation of Molecular Surface Properties for Modeling Corticosteroid Binding Globulin and Cytosolic Ah Receptor Activity by Neural Networks

    Markus Wagener;Jens Sadowski;Johann Gasteiger

  • Deriving the 3D structure of organic molecules from their infrared spectra

    Markus C Hemmer;Valentin Steinhauer;Johann Gasteiger

  • Multivariate structure‐activity relationships between data from a battery of biological tests and an ensemble of structure descriptors: The PLS method

    W. J. Dunn;S. Wold;U. Edlund;S. Hellberg

  • Handbook of Chemoinformatics

    Johann Gasteiger

Frequent Co-Authors

Ivar Ugi
Ivar Ugi Technical University of Munich
Rolf Huisgen
Rolf Huisgen Ludwig-Maximilians-Universität München
Igor V. Tetko
Igor V. Tetko Helmholtz Zentrum München
Andreas Zell
Andreas Zell University of Tübingen
Roberto Todeschini
Roberto Todeschini University of Milano-Bicocca
Ulrike Holzgrabe
Ulrike Holzgrabe University of Würzburg
Gerhard Klebe
Gerhard Klebe Philipp University of Marburg
Alexandre Varnek
Alexandre Varnek University of Strasbourg
Stefano Moro
Stefano Moro University of Padua
Ulrich S. Schubert
Ulrich S. Schubert Friedrich Schiller University Jena

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