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:

Automated De Novo Drug Design: Are We Nearly There Yet?
Gisbert Schneider, David E. Clark
Angewandte Chemie International Edition (2019) Vol. 58, Iss. 32, pp. 10792-10803
Closed Access | Times Cited: 136

Showing 1-25 of 136 citing articles:

Artificial intelligence in drug discovery and development
Debleena Paul, Gaurav Sanap, Snehal Shenoy, et al.
Drug Discovery Today (2020) Vol. 26, Iss. 1, pp. 80-93
Open Access | Times Cited: 1023

Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery
Xin Yang, Yifei Wang, Ryan Byrne, et al.
Chemical Reviews (2019) Vol. 119, Iss. 18, pp. 10520-10594
Open Access | Times Cited: 749

Rethinking drug design in the artificial intelligence era
Petra Schneider, W. Patrick Walters, Alleyn T. Plowright, et al.
Nature Reviews Drug Discovery (2019) Vol. 19, Iss. 5, pp. 353-364
Open Access | Times Cited: 646

A Review on Applications of Computational Methods in Drug Screening and Design
Xiaoqian Lin, Xiu Li, Xubo Lin
Molecules (2020) Vol. 25, Iss. 6, pp. 1375-1375
Open Access | Times Cited: 539

Advances in De Novo Drug Design: From Conventional to Machine Learning Methods
Varnavas D. Mouchlis, Antreas Afantitis, Angela Serra, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 1676-1676
Open Access | Times Cited: 238

Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet
Andreas Bender, Isidro Cortés‐Ciriano
Drug Discovery Today (2020) Vol. 26, Iss. 2, pp. 511-524
Open Access | Times Cited: 225

De novo molecular design and generative models
Joshua Meyers, Benedek Fabian, Nathan Brown
Drug Discovery Today (2021) Vol. 26, Iss. 11, pp. 2707-2715
Open Access | Times Cited: 214

In silico Strategies to Support Fragment-to-Lead Optimization in Drug Discovery
Lauro Ribeiro de Souza Neto, José Teófilo Moreira-Filho, Bruno J. Neves, et al.
Frontiers in Chemistry (2020) Vol. 8
Open Access | Times Cited: 200

A critical overview of computational approaches employed for COVID-19 drug discovery
Eugene Muratov, Rommie E. Amaro, Carolina Horta Andrade, et al.
Chemical Society Reviews (2021) Vol. 50, Iss. 16, pp. 9121-9151
Open Access | Times Cited: 179

Automated in Silico Design of Homogeneous Catalysts
Marco Foscato, Vidar R. Jensen
ACS Catalysis (2020) Vol. 10, Iss. 3, pp. 2354-2377
Open Access | Times Cited: 175

Autonomous Discovery in the Chemical Sciences Part I: Progress
Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen
Angewandte Chemie International Edition (2019) Vol. 59, Iss. 51, pp. 22858-22893
Open Access | Times Cited: 175

Pyrazolone structural motif in medicinal chemistry: Retrospect and prospect
Zefeng Zhao, Xufen Dai, Chenyang Li, et al.
European Journal of Medicinal Chemistry (2019) Vol. 186, pp. 111893-111893
Open Access | Times Cited: 160

Machine learning dihydrogen activation in the chemical space surrounding Vaska's complex
Pascal Friederich, Gabriel dos Passos Gomes, Riccardo De Bin, et al.
Chemical Science (2020) Vol. 11, Iss. 18, pp. 4584-4601
Open Access | Times Cited: 152

Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development
Chayna Sarkar, Biswadeep Das, Vikram Singh Rawat, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 2026-2026
Open Access | Times Cited: 147

Structure-based de novo drug design using 3D deep generative models
Yibo Li, Jianfeng Pei, Luhua Lai
Chemical Science (2021) Vol. 12, Iss. 41, pp. 13664-13675
Open Access | Times Cited: 111

Bioactive Synthetic Polymers
Kenward Jung, Nathaniel Corrigan, Edgar H. H. Wong, et al.
Advanced Materials (2021) Vol. 34, Iss. 2
Closed Access | Times Cited: 109

Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
Alexander Tropsha, Olexandr Isayev, Alexandre Varnek, et al.
Nature Reviews Drug Discovery (2023) Vol. 23, Iss. 2, pp. 141-155
Closed Access | Times Cited: 109

Rational Design in Photopharmacology with Molecular Photoswitches
Piermichele Kobauri, Frank J. Dekker, Wiktor Szymański, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 30
Open Access | Times Cited: 104

Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning: A Review
Rocco Meli, Garrett M. Morris, Philip C. Biggin
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 76

Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 64

Applied machine learning as a driver for polymeric biomaterials design
Samantha M. McDonald, Emily K. Augustine, Quinn Lanners, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 53

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: 31

Recent Advances in Automated Structure-Based De Novo Drug Design
Yidan Tang, Rocco Moretti, Jens Meiler
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1794-1805
Open Access | Times Cited: 25

The Advent of Generative Chemistry
Quentin Vanhaelen, Yen‐Chu Lin, Alex Zhavoronkov
ACS Medicinal Chemistry Letters (2020) Vol. 11, Iss. 8, pp. 1496-1505
Open Access | Times Cited: 119

Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace
Natesh Singh, Ludovic Chaput, Bruno O. Villoutreix
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1790-1818
Open Access | Times Cited: 107

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