World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
50
Citations
11575
World Ranking
17506
National Ranking
1209

Gerhard Wolber publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Gerhard Wolber sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 293 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Gerhard Wolber D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Gerhard Wolber sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 50 D-Index — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Gerhard Wolber is affiliated with Freie Universität Berlin in Germany. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology as well as Medicine. Within these broader disciplines, their work frequently addresses Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology, and Immunology.

The researcher has contributed to various topics, including computational drug discovery methods, receptor mechanisms and signaling, pharmacogenetics and drug metabolism, neuropeptides and animal physiology, monoclonal and polyclonal antibodies research, immune response and inflammation, and synthesis and biological activity.

Frequent publication venues for Gerhard Wolber include bioRxiv (Cold Spring Harbor Laboratory), Journal of Chemical Information and Modeling, Molecules, European Journal of Medicinal Chemistry, and Journal of Medicinal Chemistry.

Some of their recent papers are:

  • Next generation 3D pharmacophore modeling, 2020, Wiley Interdisciplinary Reviews Computational Molecular Science
  • Design, synthesis, antibacterial activity evaluation and molecular modeling studies of new sulfonamides containing a sulfathiazole moiety, 2021, New Journal of Chemistry
  • Structural insights into understudied human cytochrome P450 enzymes, 2021, Drug Discovery Today
  • In Search for Multi-Target Ligands as Potential Agents for Diabetes Mellitus and Its Complications-A Structure-Activity Relationship Study on Inhibitors of Aldose Reductase and Protein Tyrosine Phosphatase 1B, 2021, Molecules
  • Discovery of Small-Molecule TIM-3 Inhibitors for Acute Myeloid Leukemia Using Pharmacophore-Based Virtual Screening, 2023, Journal of Medicinal Chemistry

Collaborations often involve Szymon Pach, Marcel Bermúdez, Valerij Talagayev, Clemens Alexander Wolf, and Sijie Liu.

Best Publications

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

    Gerhard Wolber;Thierry Langer

  • 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

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

    Gerhard Wolber;Alois A. Dornhofer;Thierry Langer

  • Benzimidazol-2-ylidene Gold(I) Complexes Are Thioredoxin Reductase Inhibitors with Multiple Antitumor Properties

    Riccardo Rubbiani;Igor Kitanovic;Hamed Alborzinia;Suzan Can

  • How to optimize shape-based virtual screening: choosing the right query and including chemical information.

    Johannes Kirchmair;Simona Distinto;Patrick Markt;Daniela Schuster

  • The impact of molecular dynamics on drug design: applications for the characterization of ligand-macromolecule complexes.

    Jérémie Mortier;Christin Rakers;Marcel Bermudez;Manuela S. Murgueitio

  • 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

  • Next generation 3D pharmacophore modeling

    David Schaller;Dora Šribar;Theresa Noonan;Lihua Deng

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

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

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

    Johannes Kirchmair;Christian Laggner;Gerhard Wolber;Thierry Langer

  • Design, synthesis and molecular docking study of novel quinoxalin-2(1H)-ones as anti-tumor active agents with inhibition of tyrosine kinase receptor and studying their cyclooxygenase-2 activity

    Shadia A. Galal;Sarah H.M. Khairat;Fatma A.F. Ragab;Ahmed S. Abdelsamie

  • Antiviral potential and molecular insight into neuraminidase inhibiting diarylheptanoids from Alpinia katsumadai.

    Ulrike Grienke;Michaela Schmidtke;Johannes Kirchmair;Kathrin Pfarr

  • 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

  • Anthocyanin composition, antioxidant efficiency, and α-amylase inhibitor activity of different Hungarian sour cherry varieties (Prunus cerasus L.).

    Judit R. Homoki;Andrea Nemes;Erika Fazekas;Gyöngyi Gyémánt

  • The Protein Data Bank (PDB), its related services and software tools as key components for in silico guided drug discovery.

    Johannes Kirchmair;Patrick Markt;Simona Distinto;Daniela Schuster

  • Enhancing drug discovery through in silico screening: strategies to increase true positives retrieval rates.

    J. Kirchmair;S. Distinto;D. Schuster;G. Spitzer

  • In silico virtual screening approaches for anti-viral drug discovery.

    Manuela S. Murgueitio;Marcel Bermudez;Jérémie Mortier;Gerhard Wolber

  • NSC23766, a Widely Used Inhibitor of Rac1 Activation, Additionally Acts as a Competitive Antagonist at Muscarinic Acetylcholine Receptors

    Magdolna Levay;Kurt Allen Krobert;Karola Wittig;Niels Voigt

  • Selective Inhibitors of the Protein Tyrosine Phosphatase Shp2 Block Cellular Motility and Growth of Cancer Cells in Vitro and in Vivo.

    Stefanie Grosskopf;Stefanie Grosskopf;Stefanie Grosskopf;Chris Eckert;Chris Eckert;Christoph Arkona;Silke Radetzki

  • Fast and efficient in silico 3D screening: toward maximum computational efficiency of pharmacophore-based and shape-based approaches.

    Johannes Kirchmair;Stojanka Ristic;Kathrin Eder;Patrick Markt

Frequent Co-Authors

Daniela Schuster
Daniela Schuster Paracelsus Medical University
Thierry Langer
Thierry Langer University of Vienna
Hermann Stuppner
Hermann Stuppner University of Innsbruck
Klaus R. Liedl
Klaus R. Liedl University of Innsbruck
Ulrike Holzgrabe
Ulrike Holzgrabe University of Würzburg
Lars Porskjær Christensen
Lars Porskjær Christensen University of Southern Denmark
Karsten Kristiansen
Karsten Kristiansen University of Copenhagen
Ronald Gust
Ronald Gust Freie Universität Berlin
Alex Odermatt
Alex Odermatt University of Basel
Beate Koksch
Beate Koksch Freie Universität Berlin

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