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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:

DLiP-PPI library: An integrated chemical database of small-to-medium-sized molecules targeting protein–protein interactions
Kazuyoshi Ikeda, Yuta Maezawa, Tomoki Yonezawa, et al.
Frontiers in Chemistry (2023) Vol. 10
Open Access | Times Cited: 11

Showing 11 citing articles:

Data and AI-driven synthetic binding protein discovery
Yanlin Li, Zixin Duan, Zhenwen Li, et al.
Trends in Pharmacological Sciences (2025)
Closed Access
Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery
Daniela Trisciuzzi, Bruno O. Villoutreix, Lydia Siragusa, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 7, pp. 737-752
Closed Access | Times Cited: 12
Multi-level bioinformatics resources support drug target discovery of protein–protein interactions
Jiaxin Liu, Xiao Zhang, Yuanqin Huang, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 5, pp. 103979-103979
Closed Access | Times Cited: 3
Strengthening the Competitiveness of Japan’s Pharmaceutical Industry: Analysis of Country Differences in the Origin of New Drugs and Japan’s Highly Productive Firm
Ryo Okuyama
Biological and Pharmaceutical Bulletin (2023) Vol. 46, Iss. 5, pp. 718-724
Open Access | Times Cited: 7
Chronological Analysis of First-in-Class Drugs Approved from 2011 to 2022: Their Technological Trend and Origin
Ryo Okuyama
Pharmaceutics (2023) Vol. 15, Iss. 7, pp. 1794-1794
Open Access | Times Cited: 7
A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions
Heqi Sun, Jianmin Wang, Hongyan Wu, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 23, pp. 7363-7372
Open Access | Times Cited: 4
A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions
Heqi Sun, Jianmin Wang, Hongyan Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
DiPPI: A Curated Data Set for Drug-like Molecules in Protein–Protein Interfaces
Fatma Cankara, Simge Senyuz, Ahenk Zeynep Sayin, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 5041-5051
Open Access
A Review of Protein-Protein Interaction Databases
Kshitish K. Acharya, Sravanthi Davuluri, Pawan Karimindla
Elsevier eBooks (2024)
Closed Access
Advancements in Contemporary Pharmacological Innovation: Mechanistic Insights and Emerging Trends in Drug Discovery and Development
Sanjoy Majumder, G. Panigrahi
Intelligent Pharmacy (2024)
Open Access
Target-specific design of drug-like PPI inhibitors via hot-spot-guided generative deep learning
Heqi Sun, Jiayi Li, Yufang Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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