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Gisbert Schneider

Active 1993–2025

241
Papers
27,545
Citations
82
h-index
213
i10-index

Citations

Citations per year for Gisbert Schneider1911: 1 citations1967: 1 citations1985: 1 citations1986: 2 citations1989: 1 citations1993: 1 citations1994: 3 citations1995: 4 citations1996: 10 citations1997: 5 citations1998: 24 citations1999: 15 citations2000: 38 citations2001: 33 citations2002: 75 citations2003: 115 citations2004: 169 citations2005: 200 citations2006: 255 citations2007: 214 citations2008: 269 citations2009: 322 citations2010: 364 citations2011: 410 citations2012: 346 citations2013: 332 citations2014: 320 citations2015: 335 citations2016: 388 citations2017: 379 citations2018: 618 citations2019: 1,123 citations2020: 1,181 citations2021: 1,374 citations2022: 1,101 citations2023: 1,047 citations2024: 1,505 citations2025: 996 citations2026: 114 citations1912–1966: no citations, so these years are not shown1968–1984: no citations, so these years are not shown1987–1988: no citations, so these years are not shown1990–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,340 citing papers, 17.3% of this breakdownChina: 2,059 citing papers, 15.2% of this breakdownGermany: 1,073 citing papers, 7.9% of this breakdownUnited Kingdom: 841 citing papers, 6.2% of this breakdownIndia: 654 citing papers, 4.8% of this breakdownSwitzerland: 541 citing papers, 4% of this breakdownFrance: 377 citing papers, 2.8% of this breakdownItaly: 360 citing papers, 2.7% of this breakdownCanada: 323 citing papers, 2.4% of this breakdownJapan: 310 citing papers, 2.3% of this breakdownAustralia: 260 citing papers, 1.9% of this breakdownSpain: 260 citing papers, 1.9% of this breakdown
0%17.3%Other 30.6%

Institutions

Fields

  • Computer Science45.4%
  • Biochemistry, Genetics and Molecular Biology17.6%
  • Medicine11.3%
  • Immunology and Microbiology9%
  • Materials Science4.9%
  • Chemistry3.1%
  • Other8.7%

Topics

  • Computational Drug Discovery Methods17.4%
  • Machine Learning in Materials Science5.7%
  • Protein Structure and Dynamics4.1%
  • Antimicrobial Peptides and Activities3.5%
  • Chemical Synthesis and Analysis2.9%
  • Machine Learning in Bioinformatics2.5%
  • Other63.9%

Coauthors

All papers

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  1. Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery

    Authors: Xin Yang, Yifei Wang, Ryan Byrne, Gisbert Schneider, Shengyong Yang - Chemical Reviews 2019 cited by 1,020

  2. Rethinking drug design in the artificial intelligence era

    Authors: Petra Schneider, W. Patrick Walters, Alleyn T. Plowright, Norman Sieroka, Jennifer Listgarten, Robert A. Goodnow, Jasmin Fisher, Johanna M. Jansen, José S. Duca, Thomas S. Rush, Matthias Zentgraf, John E. Hill, Elizabeth Krutoholow, Matthias Köhler, Jeff Blaney, Kimito Funatsu, Chris Luebkemann, Gisbert Schneider - Nature Reviews Drug Discovery 2019 cited by 854

  3. Designing antimicrobial peptides: form follows function

    Authors: Christopher D. Fjell, Jan A. Hiss, Robert E. W. Hancock, Gisbert Schneider - Nature Reviews Drug Discovery 2011 cited by 2,014

  4. Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR

    Authors: Alexander Tropsha, Olexandr Isayev, Alexandre Varnek, Gisbert Schneider, Artem Cherkasov - Nature Reviews Drug Discovery 2023 cited by 336

  5. Automating drug discovery

    Authors: Gisbert Schneider - Nature Reviews Drug Discovery 2017 cited by 866

  6. Artificial intelligence in drug discovery: recent advances and future perspectives

    Authors: José Jiménez-Luna, Francesca Grisoni, Nils Weskamp, Gisbert Schneider - Expert Opinion on Drug Discovery 2021 cited by 456

  7. Counting on natural products for drug design

    Authors: Tiago Rodrigues, Daniel Reker, Petra Schneider, Gisbert Schneider - Nature Chemistry 2016 cited by 1,225

  8. Bidirectional Molecule Generation with Recurrent Neural Networks

    Authors: Francesca Grisoni, Michael Moret, Robin Lingwood, Gisbert Schneider - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2010 cited by 240

  9. Deep Learning in Drug Discovery

    Authors: Erik Gawehn, Jan A. Hiss, Gisbert Schneider - Molecular Informatics 2015 cited by 724

  10. Computer-based de novo design of drug-like molecules

    Authors: Gisbert Schneider, Uli Fechner - Nature Reviews Drug Discovery 2005 cited by 967

  11. Combining Generative Artificial Intelligence and On-Chip Synthesis for De Novo Drug Design

    Authors: Francesca Grisoni, Berend Huisman, Alexander L. Button, Michaël Moret, Kenneth Atz, Daniel Merk, Gisbert Schneider - Science Advances 2020 cited by 167

  12. De Novo Design of Bioactive Small Molecules by Artificial Intelligence

    Authors: Daniel Merk, Lukas Friedrich, Francesca Grisoni, Gisbert Schneider - Molecular Informatics 2018 cited by 365

  13. Leveraging molecular structure and bioactivity with chemical language models for de novo drug design

    Authors: Michaël Moret, Irène Pachón-Angona, Leandro Cotos, Shen Yan, Kenneth Atz, Cyrill Brunner, Martin Baumgartner, Francesca Grisoni, Gisbert Schneider - Nature Communications 2023 cited by 156

  14. QMugs, quantum mechanical properties of drug-like molecules

    Authors: Clemens Isert, Kenneth Atz, José Jiménez-Luna, Gisbert Schneider - Scientific Data 2022 cited by 140

  15. Generative Recurrent Networks for De Novo Drug Design

    Authors: Anvita Gupta, Alex T. Müller, Berend J. H. Huisman, Jens A. Fuchs, Petra Schneider, Gisbert Schneider - Molecular Informatics 2017 cited by 468

  16. Recurrent Neural Network Model for Constructive Peptide Design

    Authors: Alex T. Müller, Jan A. Hiss, Gisbert Schneider - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2018 cited by 276

  17. modlAMP: Python for antimicrobial peptides

    Authors: Alex T. Müller, Gisela Gabernet, Jan A. Hiss, Gisbert Schneider - Bioinformatics, Bioinform. 2017 cited by 222

  18. Generative molecular design in low data regimes

    Authors: Michael Moret, Lukas Friedrich, Francesca Grisoni, Daniel Merk, Gisbert Schneider - Nature Machine Intelligence, Nat. Mach. Intell. 2020 cited by 232

  19. Predicting drug metabolism: experiment and/or computation?

    Authors: Johannes Kirchmair, Andreas H. Göller, Dieter Lang, Jens Kunze, Bernard Testa, Ian D. Wilson, Robert C. Glen, Gisbert Schneider - Nature Reviews Drug Discovery 2015 cited by 503

  20. Active-learning strategies in computer-assisted drug discovery

    Authors: Daniel Reker, Gisbert Schneider - Drug Discovery Today 2014 cited by 267

  21. Prospective de novo drug design with deep interactome learning

    Authors: Kenneth Atz, Leandro Cotos, Clemens Isert, M. Håkansson, Dorota Focht, Mattis Hilleke, David F. Nippa, Michael Iff, Jann Ledergerber, Carl C. G. Schiebroek, Valentina Romeo, Jan A. Hiss, Daniel Merk, Petra Schneider, Bernd Kuhn, Uwe Grether, Gisbert Schneider - Nature Communications 2024 cited by 77

  22. “Scaffold-Hopping” by Topological Pharmacophore Search: A Contribution to Virtual Screening

    Authors: Gisbert Schneider, Werner Neidhart, Thomas Giller, Gerard M. Schmid - Angewandte Chemie International Edition 1999 cited by 691

  23. Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators

    Authors: Daniel Merk, Francesca Grisoni, Lukas Friedrich, Gisbert Schneider - Communications Chemistry 2018 cited by 142

  24. Automated de novo molecular design by hybrid machine intelligence and rule-driven chemical synthesis

    Authors: Alexander Button, Daniel Merk, Jan A. Hiss, Gisbert Schneider - Nature Machine Intelligence, Nat. Mach. Intell. 2019 cited by 112