Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Evolution of Novartis’ Small Molecule Screening Deck Design
Ansgar Schuffenhauer, Nadine Schneider, Samuel Hintermann, et al.
Journal of Medicinal Chemistry (2020) Vol. 63, Iss. 23, pp. 14425-14447
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Accelerating high-throughput virtual screening through molecular pool-based active learning
David Graff, Eugene I. Shakhnovich, Connor W. Coley
Chemical Science (2021) Vol. 12, Iss. 22, pp. 7866-7881
Open Access | Times Cited: 93
Target-Based Evaluation of “Drug-Like” Properties and Ligand Efficiencies
Paul D. Leeson, A. Patrícia Bento, Anna Gaulton, et al.
Journal of Medicinal Chemistry (2021) Vol. 64, Iss. 11, pp. 7210-7230
Open Access | Times Cited: 78
The Growing Importance of Chirality in 3D Chemical Space Exploration and Modern Drug Discovery Approaches for Hit-ID
Ilaria Proietti Silvestri, Paul Colbon
ACS Medicinal Chemistry Letters (2021) Vol. 12, Iss. 8, pp. 1220-1229
Open Access | Times Cited: 54
Transformer-based molecular optimization beyond matched molecular pairs
Jiazhen He, Eva Nittinger, Christian Tyrchan, et al.
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 46
Systematic Evaluation of Local and Global Machine Learning Models for the Prediction of ADME Properties
Elena Di Lascio, Grégori Gerebtzoff, Raquel Rodríguez-Pérez
Molecular Pharmaceutics (2023) Vol. 20, Iss. 3, pp. 1758-1767
Closed Access | Times Cited: 24
Screening Ultra-Large Encoded Compound Libraries Leads to Novel Protein–Ligand Interactions and High Selectivity
Gavin W. Collie, Matthew Clark, Anthony D. Keefe, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 2, pp. 864-884
Open Access | Times Cited: 9
Tackling assay interference associated with small molecules
Lu Tan, Steffen Hirte, Vincenzo Palmacci, et al.
Nature Reviews Chemistry (2024) Vol. 8, Iss. 5, pp. 319-339
Closed Access | Times Cited: 7
Discovery of novel and selective SIK2 inhibitors by the application of AlphaFold structures and generative models
Wei Zhu, Xiaosong Liu, Qi Li, et al.
Bioorganic & Medicinal Chemistry (2023) Vol. 91, pp. 117414-117414
Closed Access | Times Cited: 15
Extracting medicinal chemistry intuition via preference machine learning
Oh-Hyeon Choung, Riccardo Vianello, Marwin Segler, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Pocket Crafter: a 3D generative modeling based workflow for the rapid generation of hit molecules in drug discovery
Lingling Shen, Jian Fang, Lulu Liu, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Application of machine learning models for property prediction to targeted protein degraders
Giulia Peteani, Minh Huynh, Grégori Gerebtzoff, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Scaling up for success: from bioactive natural products to new medicines
Maximilian J. Helf, Kathrin Buntin, Andrej Klančar, et al.
Natural Product Reports (2024)
Closed Access | Times Cited: 4
Splitting chemical structure data sets for federated privacy-preserving machine learning
Jaak Simm, Lina Humbeck, Adam Zalewski, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 36
PREFER: A New Predictive Modeling Framework for Molecular Discovery
Jessica Lanini, Gianluca Santarossa, Finton Sirockin, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4497-4504
Closed Access | Times Cited: 11
Enhancing the Small-Scale Screenable Biological Space beyond Known Chemogenomics Libraries with Gray Chemical Matter─Compounds with Novel Mechanisms from High-Throughput Screening Profiles
Jason R. Thomas, Claude Shelton, Jason Murphy, et al.
ACS Chemical Biology (2024) Vol. 19, Iss. 4, pp. 938-952
Open Access | Times Cited: 3
25 Years of Small-Molecule Optimization at Novartis: A Retrospective Analysis of Chemical Series Evolution
Maximilian Beckers, Nikolas Fechner, Nikolaus Stiefl
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 6002-6021
Closed Access | Times Cited: 20
Multispecies Machine Learning Predictions of In Vitro Intrinsic Clearance with Uncertainty Quantification Analyses
Raquel Rodríguez-Pérez, Markus Trunzer, Nadine Schneider, et al.
Molecular Pharmaceutics (2022) Vol. 20, Iss. 1, pp. 383-394
Closed Access | Times Cited: 20
SIMPD: an algorithm for generating simulated time splits for validating machine learning approaches
Gregory A. Landrum, Maximilian Beckers, Jessica Lanini, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Prediction of Small-Molecule Developability Using Large-Scale In Silico ADMET Models
Maximilian Beckers, Noé Sturm, Finton Sirockin, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 20, pp. 14047-14060
Closed Access | Times Cited: 9
High-throughput synthesis provides data for predicting molecular properties and reaction success
Julian Götz, Moritz K. Jackl, Chalupat Jindakun, et al.
Science Advances (2023) Vol. 9, Iss. 43
Open Access | Times Cited: 9
Tight-Binding Small-Molecule Carboxylesterase 2 Inhibitors Reduce Intracellular Irinotecan Activation
Karishma Kailass, Dominick Casalena, Lina Jenane, et al.
Journal of Medicinal Chemistry (2024) Vol. 67, Iss. 3, pp. 2019-2030
Closed Access | Times Cited: 2
The European Federation for Medicinal Chemistry and Chemical Biology (EFMC) Best Practice Initiative: Hit Generation
Jean Quancard, Anna Vulpetti, Anders Bach, et al.
ChemMedChem (2023) Vol. 18, Iss. 9
Closed Access | Times Cited: 7
Identification of bile salt export pump inhibitors using machine learning: Predictive safety from an industry perspective
Raquel Rodríguez-Pérez, Grégori Gerebtzoff
Artificial Intelligence in the Life Sciences (2021) Vol. 1, pp. 100027-100027
Open Access | Times Cited: 12
Chemical Reactivity Prediction: Current Methods and Different Application Areas
Peter Ertl, Grégori Gerebtzoff, Richard A. Lewis, et al.
Molecular Informatics (2021) Vol. 41, Iss. 6
Closed Access | Times Cited: 10
Learning chemical intuition from humans in the loop
Oh-Hyeon Choung, Riccardo Vianello, Marwin Segler, et al.
(2023)
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top