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Thierry Langer

Thierry Langer

University of Vienna
Austria

D-Index & Metrics

Chemistry

D-Index
73
Citations
15549
World Ranking
5109
National Ranking
23

Thierry Langer publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Thierry Langer sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 265 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Thierry Langer D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Thierry Langer sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 73 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Thierry Langer is affiliated with the University of Vienna in Austria and has a research focus primarily in Materials Science, with significant contributions to related subfields such as Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, and Cellular and Molecular Neuroscience.

Their published work spans various scientific topics including:

  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Computational Drug Discovery Methods
  • Receptor Mechanisms and Signaling
  • Machine Learning in Materials Science
  • Neuroscience and Neuropharmacology Research
  • Analytical Chemistry and Chromatography

Thierry Langer has contributed to multiple publication venues, with the most frequent being:

  • The Cambridge Structural Database
  • Journal of Chemical Information and Modeling
  • Molecules
  • International Journal of Molecular Sciences
  • SSRN Electronic Journal

Recent papers authored or co-authored by Thierry Langer include:

  • A compact review of molecular property prediction with graph neural networks (2020), Drug Discovery Today Technologies
  • Applications of the Pharmacophore Concept in Natural Product inspired Drug Design (2020), Molecular Informatics
  • Chemoselective Homologation-Deoxygenation Strategy Enabling the Direct Conversion of Carbonyls into (n+1)-Halomethyl-Alkanes (2020), Organic Letters
  • Improving Small Molecule pKa Prediction Using Transfer Learning With Graph Neural Networks (2022), Frontiers in Chemistry
  • A Computational Approach to Identify Potential Novel Inhibitors against the Coronavirus SARS-CoV-2 (2020), Molecular Informatics

Co-authorship collaborations highlight frequent work with:

  • Ernst Urban
  • Predrag Kalaba
  • Judith Wackerlig
  • Gert Lübec
  • Jana Lubec

Best Publications

  • LigandScout: 3-D pharmacophores derived from protein-bound ligands and their use as virtual screening filters.

    Gerhard Wolber;Thierry Langer

  • Why drugs fail--a study on side effects in new chemical entities.

    Daniela Schuster;Christian Laggner;Thierry Langer

  • Recognizing Pitfalls in Virtual Screening: A Critical Review

    Thomas Scior;Andreas Bender;Gary Tresadern;José L. Medina-Franco

  • A compact review of molecular property prediction with graph neural networks

    Oliver Wieder;Stefan Kohlbacher;Mélaine Kuenemann;Arthur Garon

  • Evaluation of the performance of 3D virtual screening protocols: RMSD comparisons, enrichment assessments, and decoy selection—What can we learn from earlier mistakes?

    Johannes Kirchmair;Patrick Markt;Simona Distinto;Gerhard Wolber

  • Molecule-pharmacophore superpositioning and pattern matching in computational drug design

    Gerhard Wolber;Thomas Seidel;Fabian Bendix;Thierry Langer

  • Efficient overlay of small organic molecules using 3D pharmacophores.

    Gerhard Wolber;Alois A. Dornhofer;Thierry Langer

  • Recent Advances in Docking and Scoring

    E. M. Krovat;T. Steindl;T. Langer

  • Acetylcholinesterase inhibitory activity of scopolin and scopoletin discovered by virtual screening of natural products

    Judith M Rollinger;Ariane Hornick;Thierry Langer;Hermann Stuppner

  • Virtual screening for the discovery of bioactive natural products.

    Judith M. Rollinger;Hermann Stuppner;Thierry Langer

  • Virtual screening: an effective tool for lead structure discovery?

    T Langer;R D Hoffmann

  • Comparative performance assessment of the conformational model generators omega and catalyst: a large-scale survey on the retrieval of protein-bound ligand conformations.

    Johannes Kirchmair;Gerhard Wolber;Christian Laggner;Thierry Langer

  • In silico Target Fishing for Rationalized Ligand Discovery Exemplified on Constituents of Ruta graveolens

    Judith M. Rollinger;Daniela Schuster;Birgit Danzl;Stefan Schwaiger

  • The discovery of new 11beta-hydroxysteroid dehydrogenase type 1 inhibitors by common feature pharmacophore modeling and virtual screening.

    Daniela Schuster;Evelyne M Maurer;Christian Laggner;Lyubomir G Nashev

  • Comparative analysis of protein-bound ligand conformations with respect to catalyst's conformational space subsampling algorithms.

    Johannes Kirchmair;Christian Laggner;Gerhard Wolber;Thierry Langer

  • Discovery of high-affinity ligands of σ1 receptor, ERG2, and emopamil binding protein by pharmacophore modeling and virtual screening

    Christian Laggner;Claudia Schieferer;Birgit Fiechtner;Gloria Poles

  • Chemical feature-based pharmacophores and virtual library screening for discovery of new leads.

    Thierry Langer;Eva Maria Krovat

  • Strategies for efficient lead structure discovery from natural products.

    J. M. Rollinger;T. Langer;H. Stuppner

  • Structure–activity relationships and molecular modelling of 5-arylidene-2,4-thiazolidinediones active as aldose reductase inhibitors

    Rosanna Maccari;Rosaria Ottanà;Carmela Curinga;Maria Gabriella Vigorita

  • Parallel screening : A novel concept in pharmacophore modeling and virtual screening

    Theodora M. Steindl;Daniela Schuster;Christian Laggner;Thierry Langer

  • 5-Arylidene-2,4-thiazolidinediones as inhibitors of protein tyrosine phosphatases.

    Rosanna Maccari;Paolo Paoli;Rosaria Ottanà;Michela Jacomelli

  • Non-peptide angiotensin II receptor antagonists: chemical feature based pharmacophore identification.

    Eva M Krovat;Thierry Langer

  • The UV-filter benzophenone-1 inhibits 17β-hydroxysteroid dehydrogenase type 3: Virtual screening as a strategy to identify potential endocrine disrupting chemicals

    Lyubomir G. Nashev;Daniela Schuster;Christian Laggner;Seloni Sodha

  • GBPM: GRID-based pharmacophore model: concept and application studies to protein--protein recognition

    Francesco Ortuso;Thierry Langer;Stefano Alcaro

  • Pharmacophores and Pharmacophore Searches: LANGER: PHARMACOPHORES AND PHARMACOPHORE SEARCHES O-BK

    Thierry Langer;Rémy D. Hoffmann

Frequent Co-Authors

Daniela Schuster
Daniela Schuster Paracelsus Medical University
Gerhard Wolber
Gerhard Wolber Freie Universität Berlin
Hermann Stuppner
Hermann Stuppner University of Innsbruck
Mark D. Smith
Mark D. Smith University of South Carolina
Stephen Cusack
Stephen Cusack European Bioinformatics Institute
Gert Lubec
Gert Lubec Paracelsus Medical University
Harald H. Sitte
Harald H. Sitte Medical University of Vienna
Klaus R. Liedl
Klaus R. Liedl University of Innsbruck
Francesco Ortuso
Francesco Ortuso Magna Graecia University
Stefano Alcaro
Stefano Alcaro Magna Graecia University

External Links

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Best Scientists Citing Thierry Langer

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Bruno O. Villoutreix

Bruno O. Villoutreix

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Publications: 31

Gisbert Schneider

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Publications: 23

Hualiang Jiang

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Publications: 22

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