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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:

Identifying a novel anticancer agent with microtubule-stabilizing effects through computational cell-based bioactivity prediction models and bioassays
Yao Luo, Ranran Zeng, Qingqing Guo, et al.
Organic & Biomolecular Chemistry (2019) Vol. 17, Iss. 6, pp. 1519-1530
Closed Access | Times Cited: 18

Showing 18 citing articles:

FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction
Hanxuan Cai, Huimin Zhang, Duancheng Zhao, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 100
Large-scale comparison of machine learning methods for profiling prediction of kinase inhibitors
Jiangxia Wu, Yihao Chen, Jingxing Wu, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 10
DeepCancerMap: A versatile deep learning platform for target- and cell-based anticancer drug discovery
Jingxing Wu, Yi Xiao, Mujie Lin, et al.
European Journal of Medicinal Chemistry (2023) Vol. 255, pp. 115401-115401
Closed Access | Times Cited: 18
FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction
Biaoshun Li, Mujie Lin, Tiegen Chen, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 15
A multi-task FP-GNN framework enables accurate prediction of selective PARP inhibitors
Daiqiao Ai, Jingxing Wu, Hanxuan Cai, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 18
Ligand- and structural-based discovery of potential small molecules that target the colchicine site of tubulin for cancer treatment
Qingqing Guo, Huimin Zhang, Yanhong Deng, et al.
European Journal of Medicinal Chemistry (2020) Vol. 196, pp. 112328-112328
Closed Access | Times Cited: 27
Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells
Shuyun He, Duancheng Zhao, Yanle Ling, et al.
Frontiers in Pharmacology (2021) Vol. 12
Open Access | Times Cited: 25
Ligand- and structure-based identification of novel CDK9 inhibitors for the potential treatment of leukemia
Huimin Zhang, Jindi Huang, Rui Chen, et al.
Bioorganic & Medicinal Chemistry (2022) Vol. 72, pp. 116994-116994
Closed Access | Times Cited: 17
Discovery, biological evaluation, structure–activity relationships and mechanism of action of pyrazolo[3,4-b]pyridin-6-one derivatives as a new class of anticancer agents
Qingqing Guo, Yao Luo, Shiyang Zhai, et al.
Organic & Biomolecular Chemistry (2019) Vol. 17, Iss. 25, pp. 6201-6214
Closed Access | Times Cited: 18
Design, synthesis and biological evaluation of novel hybrids targeting mTOR and HDACs for potential treatment of hepatocellular carcinoma
Shiyang Zhai, Huimin Zhang, Rui Chen, et al.
European Journal of Medicinal Chemistry (2021) Vol. 225, pp. 113824-113824
Closed Access | Times Cited: 15
Molecular sharing and molecular-specific representations for multimodal molecular property prediction
Xuecong Tian, Sizhe Zhang, Ying Su, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111898-111898
Closed Access | Times Cited: 1
Synthesis, structure and in vitro antiproliferative effects of alkyne-linked 1,2,4-thiadiazole hybrids including erlotinib- and ferrocene-containing derivatives
Mohammed Boulhaoua, Tibor Pasinszki, Ana Torvisco, et al.
RSC Advances (2021) Vol. 11, Iss. 46, pp. 28685-28697
Open Access | Times Cited: 8
VDDB: A comprehensive resource and machine learning tool for antiviral drug discovery
Shunming Tao, Yihao Chen, Jingxing Wu, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 2
AB186 Inhibits Migration of Triple-Negative Breast Cancer Cells and Interacts with α-Tubulin
Marine Geoffroy, Marine Lemesle, Alexandra Kleinclauss, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 12, pp. 6859-6859
Open Access | Times Cited: 4
Highly Accurate and Explainable Predictions of Small-Molecule Antioxidants for Eight In Vitro Assays Simultaneously through an Alternating Multitask Learning Strategy
Duancheng Zhao, Yanhong Zhang, Yihao Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
3MTox: A motif-level graph-based multi-view chemical language model for toxicity identification with deep interpretation
Yingying Zhu, Yanhong Zhang, Xinze Li, et al.
Journal of Hazardous Materials (2024) Vol. 476, pp. 135114-135114
Closed Access
3DSGIMD: An accurate and interpretable molecular property prediction method using 3D spatial graph focusing network and structure-based feature fusion
Yanan Tian, Chenbin Wang, Ruiqiang Lu, et al.
Future Generation Computer Systems (2024) Vol. 161, pp. 189-200
Closed Access
Machine learning enables accurate and rapid prediction of active molecules against breast cancer cells
Shuyun He, Duancheng Zhao, Yanle Ling, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
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