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Jürgen Bajorath

Jürgen Bajorath

University of Bonn
Germany

D-Index & Metrics

Biology and Biochemistry

D-Index
85
Citations
42016
World Ranking
3066
National Ranking
231

Jürgen Bajorath 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 Jürgen Bajorath 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: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 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: 417 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: 196 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: 59 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: 814 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Jürgen Bajorath 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 Jürgen Bajorath sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 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: 71 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: 85 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - Herman Skolnik Award, American Chemical Society (ACS)

Overview

Jürgen Bajorath is affiliated with the University of Bonn in Germany. Their research spans multiple fields, primarily focusing on Computer Science and Biochemistry, Genetics and Molecular Biology. Within these main fields, key subfields include Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Pharmacology, and Organic Chemistry.

Their work addresses several main topics, including:

  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • Metabolomics and Mass Spectrometry Studies
  • Chemical Synthesis and Analysis
  • Microbial Natural Products and Biosynthesis
  • Protein Structure and Dynamics
  • Click Chemistry and Applications

Jürgen Bajorath has contributed to a significant number of recent publications, illustrating a broad engagement with computational and cheminformatics approaches. Notable papers include:

  • "QSAR without borders" (2020), published in Chemical Society Reviews
  • "Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions" (2020), published in Journal of Computer-Aided Molecular Design
  • "Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery" (2022), published in Journal of Computer-Aided Molecular Design
  • "Memory-assisted reinforcement learning for diverse molecular de novo design" (2020), published in Journal of Cheminformatics
  • "Informatics for Chemistry, Biology, and Biomedical Sciences" (2020), published in Journal of Chemical Information and Modeling

Their frequent collaborators include Christian Feldmann, Huabin Hu, Atsushi Yoshimori, Filip Miljković, and Raquel Rodríguez-Pérez. This network highlights a collaborative approach spanning various expertise within the scientific domain.

Jürgen Bajorath's publications often appear in several key venues, reflecting the interdisciplinary nature of their work:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Artificial Intelligence in the Life Sciences
  • Scientific Reports
  • Journal of Computer-Aided Molecular Design
  • Journal of Medicinal Chemistry

Their professional contributions have been recognized with the Herman Skolnik Award from the American Chemical Society (ACS) in 2015.

Best Publications

  • Docking and scoring in virtual screening for drug discovery: methods and applications.

    Douglas B. Kitchen;Hélène Decornez;John R. Furr;Jürgen Bajorath

  • Human B7-1 (CD80) and B7-2 (CD86) bind with similar avidities but distinct kinetics to CD28 and CTLA-4 receptors

    Peter S. Linsley;JoAnne L. Greene;William Brady;Jürgen Bajorath

  • Polypharmacology: Challenges and Opportunities in Drug Discovery

    Andrew Anighoro;Jürgen Bajorath;Giulio Rastelli

  • B7-H4, a molecule of the B7 family, negatively regulates T cell immunity.

    Gabriel L. Sica;In Hak Choi;In Hak Choi;Gefeng Zhu;Koji Tamada

  • The CD40 ligand, gp39, is defective in activated T cells from patients with X-linked hyper-IgM syndrome

    Alejandro Aruffo;Alejandro Aruffo;Mary Farrington;Diane Hollenbaugh;Xu Li

  • Rational Development of LEA29Y (belatacept), a High‐Affinity Variant of CTLA4‐Ig with Potent Immunosuppressive Properties

    Christian P. Larsen;Thomas C. Pearson;Andrew B. Adams;Paul Tso

  • IMMUNE REGULATION BY CD40 AND ITS LIGAND GP39

    Teresa M. Foy;Alejandro Aruffo;Jürgen Bajorath;Janet E. Buhlmann

  • Molecular similarity in medicinal chemistry.

    Gerald Maggiora;Gerald Maggiora;Martin Vogt;Dagmar Stumpfe;Jürgen Bajorath

  • Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches.

    Hanna Eckert;Jürgen Bajorath

  • Exploring Activity Cliffs in Medicinal Chemistry

    Dagmar Stumpfe;Jürgen Bajorath

  • Application of Generative Autoencoder in De Novo Molecular Design.

    Thomas Blaschke;Marcus Olivecrona;Ola Engkvist;Jürgen Bajorath

  • Molecular Modeling and Functional Mapping of B7-H1 and B7-DC Uncouple Costimulatory Function from PD-1 Interaction

    Shengdian Wang;Jürgen Bajorath;Jürgen Bajorath;Dallas B. Flies;Haidong Dong

  • Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions.

    Raquel Rodríguez-Pérez;Jürgen Bajorath

  • Current trends in ligand-based virtual screening: molecular representations, data mining methods, new application areas, and performance evaluation.

    Hanna Geppert;Martin Vogt;Jürgen Bajorath

  • Complementarity determining region 1 (CDR1)- and CDR3-analogous regions in CTLA-4 and CD28 determine the binding to B7-1.

    R J Peach;J Bajorath;W Brady;G Leytze

  • The membrane-bound and soluble forms of HLA-G bind identical sets of endogenous peptides but differ with respect to TAP association

    Ni Lee;Alison R. Malacko;Akiko Ishitani;Ming-Chu Chen

  • Recent Advances in Scaffold Hopping

    Ye Hu;Dagmar Stumpfe;Jürgen Bajorath

  • Selected concepts and investigations in compound classification, molecular descriptor analysis, and virtual screening.

    Jürgen Bajorath

  • Covalent Dimerization of CD28/CTLA-4 and Oligomerization of CD80/CD86 Regulate T Cell Costimulatory Interactions

    JoAnne L. Greene;Gina M. Leytze;John Emswiler;Robert Peach

  • Affinity maturation of the BR96 anti-carcinoma antibody by codon-based mutagenesis

    D E Yelton;M J Rosok;G Cruz;W L Cosand

Frequent Co-Authors

Alejandro Aruffo
Alejandro Aruffo Syngenta (United States)
Peter S. Linsley
Peter S. Linsley Benaroya Research Institute
Michael Gütschow
Michael Gütschow University of Bonn
Diane Hollenbaugh
Diane Hollenbaugh Bonum Therapeutics
Stefan Laufer
Stefan Laufer University of Tübingen
Alexandre Varnek
Alexandre Varnek University of Strasbourg
Jeffrey A. Ledbetter
Jeffrey A. Ledbetter University of Washington
Kimito Funatsu
Kimito Funatsu University of Tokyo
José L. Medina-Franco
José L. Medina-Franco National Autonomous University of Mexico
Herren Wu
Herren Wu AstraZeneca (United Kingdom)

External Links

Personal website of Jürgen Bajorath

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Best Scientists Citing Jürgen Bajorath

José L. Medina-Franco

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Publications: 109

Lieping Chen

Lieping Chen

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Gisbert Schneider

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Christian P. Larsen

Christian P. Larsen

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Andreas Bender

Andreas Bender

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Publications: 49

James P. Allison

James P. Allison

The University of Texas MD Anderson Cancer Center

Publications: 47

Randolph J. Noelle

Randolph J. Noelle

Dartmouth College

Publications: 46

Hans D. Ochs

Hans D. Ochs

University of Washington

Publications: 45

Michael Gütschow

Michael Gütschow

University of Bonn

Publications: 45

Peter Willett

Peter Willett

University of Sheffield

Publications: 44

Jean-Louis Reymond

Jean-Louis Reymond

University of Bern

Publications: 40

Alejandro Aruffo

Alejandro Aruffo

Syngenta (United States)

Publications: 38

Allan D. Kirk

Allan D. Kirk

Duke University

Publications: 38

Mohamed H. Sayegh

Mohamed H. Sayegh

American University of Beirut

Publications: 34

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Flavio Vincenti

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