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OpenAlex Citation Counts

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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:

Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning
David F. Nippa, Kenneth Atz, Remo Hohler, et al.
Nature Chemistry (2023) Vol. 16, Iss. 2, pp. 239-248
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Prospective de novo drug design with deep interactome learning
Kenneth Atz, Leandro Cotos, Clemens Isert, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 32
Standardized Approach for Diversification of Complex Small Molecules via Aryl Thianthrenium Salts
Dilgam Ahmadli, Sven Müller, Yuanhao Xie, et al.
Journal of the American Chemical Society (2025)
Open Access | Times Cited: 2
Designing Target-specific Data Sets for Regioselectivity Predictions on Complex Substrates
Jules Schleinitz, Alba Carretero‐Cerdán, Anjali Gurajapu, et al.
Journal of the American Chemical Society (2025) Vol. 147, Iss. 9, pp. 7476-7484
Open Access | Times Cited: 2
Dataset Design for Building Models of Chemical Reactivity
Priyanka Raghavan, Brittany C. Haas, Madeline E. Ruos, et al.
ACS Central Science (2023) Vol. 9, Iss. 12, pp. 2196-2204
Open Access | Times Cited: 37
Predictive Minisci late stage functionalization with transfer learning
Emma King‐Smith, Felix A. Faber, Usa Reilly, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
Exploring protein–ligand binding affinity prediction with electron density-based geometric deep learning
Clemens Isert, Kenneth Atz, Sereina Riniker, et al.
RSC Advances (2024) Vol. 14, Iss. 7, pp. 4492-4502
Open Access | Times Cited: 12
Recommending reaction conditions with label ranking
Eunjae Shim, Ambuj Tewari, Tim Cernak, et al.
Chemical Science (2025)
Open Access | Times Cited: 1
Drug discovery and development in the era of artificial intelligence: From machine learning to large language models
Shenghui Guan, Guanyu Wang
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100070-100070
Open Access | Times Cited: 8
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: 11
Leveraging Language Model Multitasking To Predict C–H Borylation Selectivity
Ruslan Kotlyarov, Konstantinos Papachristos, Geoffrey P. F. Wood, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 4286-4297
Open Access | Times Cited: 4
High-Throughput Enabled Iridium-Catalyzed C–H Borylation Platform for Late-Stage Functionalization
Janis M. Zakis, Rebeka Anna Līpiņa, Sharon Bell, et al.
ACS Catalysis (2025) Vol. 15, Iss. 4, pp. 3525-3534
Closed Access
Computational Tools for the Prediction of Site- and Regioselectivity of Organic Reactions
Lukas M. Sigmund, Michele Assante, Magnus J. Johansson, et al.
Chemical Science (2025)
Open Access
Application of Density Functional Theory to Molecular Engineering of Pharmaceutical Formulations
Hao-Yue Guan, Sun Huimin, Xia Zhao
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 7, pp. 3262-3262
Open Access
Tracking protein kinase targeting advances: integrating QSAR into machine learning for kinase-targeted drug discovery
Rand Shahin, Sawsan Jaafreh, Yusra Azzam
Future Science OA (2025) Vol. 11, Iss. 1
Open Access
Integrating a multitask graph neural network with DFT calculations for site-selectivity prediction of arenes and mechanistic knowledge generation
Xinran Chen, Zijing Zhang, Xin Hong, et al.
Nature Synthesis (2025)
Open Access
A meta-learning approach for selectivity prediction in asymmetric catalysis
Sukriti Singh, José Miguel Hernández-Lobato
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Selective C–H Borylation of Polyaromatic Compounds Enabled by Metal-Arene π-Complexation
Anup Mandal, Clemens Maurer, Christoph Plett, et al.
Journal of the American Chemical Society (2025)
Closed Access
The Importance of Atomic Charges for Predicting Site-Selective Ir-, Ru-, and Rh-Catalyzed C–H Borylations
Shannon M. Stephens, Kyle M. Lambert
The Journal of Organic Chemistry (2025)
Closed Access
Simple User-Friendly Reaction Format
David F. Nippa, Alex T. Müller, Kenneth Atz, et al.
(2024)
Open Access | Times Cited: 3
Identifying opportunities for late-stage C-H alkylation with high-throughput experimentation and in silico reaction screening
David F. Nippa, Kenneth Atz, Alex T. Müller, et al.
Communications Chemistry (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 7
Repurposing quantum chemical descriptor datasets for on-the-fly generation of informative reaction representations: application to hydrogen atom transfer reactions
Javier Emilio Alfonso Ramos, Rebecca M. Neeser, Thijs Stuyver
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 919-931
Open Access | Times Cited: 2
Thermal/photochemical micro-flow probe system for direct C–H bond functionalization of biologically active molecules
Abhilash Rana, Ruchi Chauhan, Ajay K. Singh
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 6, pp. 1313-1319
Closed Access | Times Cited: 2
HTE OS: A High-Throughput Experimentation Workflow Built from the Ground Up
Georg Wuitschik, Vera Jost, Torsten Schindler, et al.
Organic Process Research & Development (2024) Vol. 28, Iss. 7, pp. 2875-2884
Closed Access | Times Cited: 2
Predicting Three-Component Reaction Outcomes from 40k Miniaturized Reactant Combinations
Julian Götz, E. G. Richards, Iain A. Stepek, et al.
(2024)
Open Access | Times Cited: 1
Do we really need ligands in Ir-catalyzed C–H borylation?
Janis M. Zakis, Simone L. Kuhn, Joanna Wencel‐Delord, et al.
(2024)
Open Access | Times Cited: 1
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