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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:

In Silico Drug Repurposing for Anti-Inflammatory Therapy: Virtual Search for Dual Inhibitors of Caspase-1 and TNF-Alpha
Alejandro Speck‐Planche, Valeria V. Kleandrova, Marcus Tullius Scotti
Biomolecules (2021) Vol. 11, Iss. 12, pp. 1832-1832
Open Access | Times Cited: 17

Showing 17 citing articles:

Peptide–drug conjugates (PDCs): a novel trend of research and development on targeted therapy, hype or hope?
Chen Fu, Lifeng Yu, Yuxi Miao, et al.
Acta Pharmaceutica Sinica B (2022) Vol. 13, Iss. 2, pp. 498-516
Open Access | Times Cited: 100
Perturbation-theory machine learning for mood disorders: virtual design of dual inhibitors of NET and SERT proteins
Alejandro Speck‐Planche, Valeria V. Kleandrova, M. Natália D. S. Cordeiro
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access
PTML Modeling for Pancreatic Cancer Research: In Silico Design of Simultaneous Multi-Protein and Multi-Cell Inhibitors
Valeria V. Kleandrova, Alejandro Speck‐Planche
Biomedicines (2022) Vol. 10, Iss. 2, pp. 491-491
Open Access | Times Cited: 24
Perturbation Theory Machine Learning Model for Phenotypic Early Antineoplastic Drug Discovery: Design of Virtual Anti-Lung-Cancer Agents
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9344-9344
Open Access | Times Cited: 3
Artificial intelligence and cheminformatics tools: a contribution to the drug development and chemical science
Ifra Saifi, Basharat Ahmad Bhat, Syed Suhail Hamdani, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 12, pp. 6523-6541
Closed Access | Times Cited: 10
Multi-Condition QSAR Model for the Virtual Design of Chemicals with Dual Pan-Antiviral and Anti-Cytokine Storm Profiles
Alejandro Speck‐Planche, Valeria V. Kleandrova
ACS Omega (2022) Vol. 7, Iss. 36, pp. 32119-32130
Open Access | Times Cited: 16
Breakthroughs in AI and Multi-Omics for Cancer Drug Discovery: A Review
Israr Fatima, Abdur Rehman, Yanheng Ding, et al.
European Journal of Medicinal Chemistry (2024) Vol. 280, pp. 116925-116925
Closed Access | Times Cited: 2
Moving Average-Based Multitasking In Silico Classification Modeling: Where Do We Stand and What Is Next?
Amit Kumar Halder, Ana S. Moura, M. Natália D. S. Cordeiro
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 4937-4937
Open Access | Times Cited: 13
Artifical intelligence: a virtual chemist for natural product drug discovery
Shefali Arora, S. Chettri, Versha Percha, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 7, pp. 3826-3835
Closed Access | Times Cited: 5
Current In Silico Methods for Multi-Target Drug Discovery in Early Anticancer Research: The Rise of the Perturbation-Theory Machine Learning Approach
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Future Medicinal Chemistry (2023) Vol. 15, Iss. 18, pp. 1647-1650
Closed Access | Times Cited: 5
Improved QSAR models for PARP-1 inhibition using data balancing, interpretable machine learning, and matched molecular pair analysis
Anish Gomatam, Bhakti Umesh Hirlekar, Krishan Dev Singh, et al.
Molecular Diversity (2024) Vol. 28, Iss. 4, pp. 2135-2152
Closed Access | Times Cited: 1
QSAR in natural non-peptidic food-related compounds: Current status and future perspective
Yi Zhao, Yuting Xia, Yuandong Yu, et al.
Trends in Food Science & Technology (2023) Vol. 140, pp. 104165-104165
Closed Access | Times Cited: 4
Molecular insights into the anti‐inflammatory activity of fermented pineapple juice using multimodal computational studies
Trina Ekawati Tallei, Fatimawali Fatimawali, Ahmad Akroman Adam, et al.
Archiv der Pharmazie (2023) Vol. 357, Iss. 1
Closed Access | Times Cited: 3
Computational analysis followed by in vitro studies to explore cytokines (TNF‐α, IL‐6 and IL‐1β) inhibition potential of the new natural molecule polonilignan
Pragya Paramita Pal, P.S. Lakshmi Soukya, Suraj Gupta, et al.
Chemical Biology & Drug Design (2024) Vol. 103, Iss. 3
Closed Access
Investigation of dual JAK2 and HDAC6 inhibitors using machine learning methods
Yuquan Zhang, Yan Li
New Journal of Chemistry (2024)
Closed Access
Immunoregulation role of the erythroid cells
Chunxiao Niu, Jiyan Zhang
Frontiers in Immunology (2024) Vol. 15
Open Access
AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules
Subathra Selvam, Priya Dharshini Balaji, Honglae Sohn, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 12, pp. 1693-1693
Open Access
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