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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:

QSAR Modeling for Multi-Target Drug Discovery: Designing Simultaneous Inhibitors of Proteins in Diverse Pathogenic Parasites
Valeria V. Kleandrova, Luciana Scotti, Francisco Jaime Bezerra Mendonça, et al.
Frontiers in Chemistry (2021) Vol. 9
Open Access | Times Cited: 25

Showing 25 citing articles:

An Overview on Target-Based Drug Design against Kinetoplastid Protozoan Infections: Human African Trypanosomiasis, Chagas Disease and Leishmaniases
Violeta Kourbeli, Eleni Chontzopoulou, Kalliopi Moschovou, et al.
Molecules (2021) Vol. 26, Iss. 15, pp. 4629-4629
Open Access | Times Cited: 63
Computational transformation in drug discovery: A comprehensive study on molecular docking and quantitative structure activity relationship (QSAR)
Manan Shah, Maanit Patel, Monit Shah, et al.
Intelligent Pharmacy (2024) Vol. 2, Iss. 5, pp. 589-595
Open Access | Times Cited: 7
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
General structure-activity relationship models for the inhibitors of Adenosine receptors: A machine learning approach
Mona Janbozorgi, Sara Kaveh, M. S. Neiband, et al.
Molecular Diversity (2025)
Closed Access
Addressing docking pose selection with structure-based deep learning: Recent advances, challenges and opportunities
Serena Vittorio, Filippo Lunghini, Pietro Morerio, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2141-2151
Open Access | Times Cited: 5
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
Applications of conceptual density functional theory in reference to quantitative structure–activity / property relationship
Pooja Sharma, Prabhat Ranjan, Tanmoy Chakraborty
Molecular Physics (2024) Vol. 122, Iss. 23
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
Neohesperidin Dihydrochalcone Ameliorates High-Fat Diet-Induced Glycolipid Metabolism Disorder in Rats
Yecheng Xiao, Donglin Su, Xing Hu, et al.
Journal of Agricultural and Food Chemistry (2022) Vol. 70, Iss. 30, pp. 9421-9431
Closed Access | Times Cited: 16
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: 15
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
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
Quantitative multi-species toxicity modeling: Does a multi-species, machine learning model provide better performance than a single-species model for the evaluation of acute aquatic toxicity by organic pollutants?
Agnieszka Gajewicz, Ewelina Wyrzykowska, Maciej Gromelski
The Science of The Total Environment (2022) Vol. 861, pp. 160590-160590
Closed Access | Times Cited: 12
Predicting the ecotoxicity of endocrine disruptive chemicals: Multitasking in silico approaches towards global models
Amit Kumar Halder, Ana S. Moura, M. Natália D. S. Cordeiro
The Science of The Total Environment (2023) Vol. 889, pp. 164337-164337
Open Access | Times Cited: 6
Identification of multi-target anti-cancer agents from TCM formula by in silico prediction and in vitro validation
Bao-Yue Zhang, Yi-Fu Zheng, Jun Zhao, et al.
Chinese Journal of Natural Medicines (2022) Vol. 20, Iss. 5, pp. 332-351
Closed Access | Times Cited: 11
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
Multi-Target In Silico Prediction of Inhibitors for Mitogen-Activated Protein Kinase-Interacting Kinases
Amit Kumar Halder, M. Natália D. S. Cordeiro
Biomolecules (2021) Vol. 11, Iss. 11, pp. 1670-1670
Open Access | Times Cited: 15
Target- and prodrug-based design for fungal diseases and cancer-associated fungal infections
Na Liu, Jie Tu, Yahui Huang, et al.
Advanced Drug Delivery Reviews (2023) Vol. 197, pp. 114819-114819
Closed Access | Times Cited: 5
Review of Contemporary QSAR Study Approach
Mule Vijayalakshmi, Ravi Srinivasan
Chemistry Africa (2024) Vol. 7, Iss. 6, pp. 2963-2973
Closed Access | Times Cited: 1
Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints
Luis A. García‐González, Yovani Marrero‐Ponce, Carlos A. Brizuela, et al.
Molecular Informatics (2023) Vol. 42, Iss. 6
Closed Access | Times Cited: 3
Cheminformatics-Driven Prediction of BACE-1 Inhibitors: Affinity and Molecular Mechanism Exploration
Rahul D. Jawarkar, Anam Khan, Suraj N. Mali, et al.
Chemical Physics Impact (2024) Vol. 9, pp. 100754-100754
Open Access
Prediction of energy storage capability of carbide-derived carbon materials using non-linear Mt-QnSPR approach
Vandana Pandey, Neera Raghav
Monatshefte für Chemie - Chemical Monthly (2024) Vol. 155, Iss. 11, pp. 1109-1118
Closed Access
Investigation of dual JAK2 and HDAC6 inhibitors using machine learning methods
Yuquan Zhang, Yan Li
New Journal of Chemistry (2024)
Closed Access
Recent advances from computer-aided drug design to artificial intelligence drug design
Keran Wang, Yanwen Huang, Yongxian Wang, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 12, pp. 3978-4000
Closed Access
A review of quantitative structure-activity relationship: the development and current status of data sets, molecular descriptors and mathematical models
Jianmin Li, Tian Zhao, Qin Yang, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105278-105278
Closed Access
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