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:

Estimating human ADME properties, pharmacokinetic parameters and likely clinical dose in drug discovery
Adam Lucas, Joanne L. Sproston, Patrick Barton, et al.
Expert Opinion on Drug Discovery (2019) Vol. 14, Iss. 12, pp. 1313-1327
Closed Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Open access in silico tools to predict the ADMET profiling of drug candidates
Supratik Kar, Jerzy Leszczyński
Expert Opinion on Drug Discovery (2020) Vol. 15, Iss. 12, pp. 1473-1487
Closed Access | Times Cited: 163

Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 52

Understanding the Metabolism of Proteolysis Targeting Chimeras (PROTACs): The Next Step toward Pharmaceutical Applications
Laura Goracci, Jenny Desantis, Aurora Valeri, et al.
Journal of Medicinal Chemistry (2020) Vol. 63, Iss. 20, pp. 11615-11638
Open Access | Times Cited: 109

Nanonization techniques to overcome poor water-solubility with drugs
Flávia Lidiane Oliveira da Silva, Maria Betânia de Freitas Marques, Kelly Cristina Kato, et al.
Expert Opinion on Drug Discovery (2020) Vol. 15, Iss. 7, pp. 853-864
Closed Access | Times Cited: 104

New 3d multifunctional metal chelates of sulfonamide: Spectral, vibrational, molecular modeling, DFT, medicinal and in silico studies
Abrar U. Hassan, Sajjad Hussain Sumrra, Muhammad Imran, et al.
Journal of Molecular Structure (2022) Vol. 1254, pp. 132305-132305
Closed Access | Times Cited: 49

Hirsutine, an Emerging Natural Product with Promising Therapeutic Benefits: A Systematic Review
Md. Shimul Bhuia, Polrat Wilairatana, Jannatul Ferdous, et al.
Molecules (2023) Vol. 28, Iss. 16, pp. 6141-6141
Open Access | Times Cited: 32

An insight into the anticancer potentials of lignan arctiin: A comprehensive review of molecular mechanisms
Raihan Chowdhury, Md. Shimul Bhuia, Polrat Wilairatana, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32899-e32899
Open Access | Times Cited: 14

Potential utilization of ferulic acid and its derivatives in the management of metabolic diseases and disorders: An insight into mechanisms
Mst Muslima Khatun, Md. Shimul Bhuia, Raihan Chowdhury, et al.
Cellular Signalling (2024) Vol. 121, pp. 111291-111291
Closed Access | Times Cited: 9

Synthesis, Anticancer Screening, and In Silico Evaluations of Thieno[2,3-c]pyridine Derivatives as Hsp90 Inhibitors
Balakumar Chandrasekaran, Mohammad F. Bayan, Ali Hmedat, et al.
Pharmaceuticals (2025) Vol. 18, Iss. 2, pp. 153-153
Open Access | Times Cited: 1

Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development
Kefei Wang, Kun Jiang, Xiaoyi Wei, et al.
AAPS PharmSciTech (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 42

Exploring novel benzene sulfonamide derivatives: Synthesis, ADME studies, anti-proliferative activity, docking simulation, and emphasizing theoretical investigations
Asmaa M. Fahim
Journal of the Indian Chemical Society (2024) Vol. 101, Iss. 8, pp. 101211-101211
Closed Access | Times Cited: 7

Comprehensive computational target fishing approach to identify Xanthorrhizol putative targets
Muhammad Shahid, Ahmad Azfaralariff, Douglas Law, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 33

In Silico Tools and Software to Predict ADMET of New Drug Candidates
Supratik Kar, Kunal Roy, Jerzy Leszczyński
Methods in molecular biology (2022), pp. 85-115
Closed Access | Times Cited: 27

Prediction of Human Pharmacokinetics From Chemical Structure: Combining Mechanistic Modeling with Machine Learning
Andrea Grüber, Florian Führer, Stephan Menz, et al.
Journal of Pharmaceutical Sciences (2023) Vol. 113, Iss. 1, pp. 55-63
Closed Access | Times Cited: 16

Synthesis and in-Silico Studies of Some New Thiazole Carboxamide Derivatives with Theoretical Investigation
Nabila A. Kheder, Hissana Ather, Dalia R. Emam, et al.
Polycyclic aromatic compounds (2023) Vol. 44, Iss. 6, pp. 3990-4008
Closed Access | Times Cited: 15

Transfer learning empowers accurate pharmacokinetics prediction of small samples
Wenbo Guo, Yawen Dong, Ge‐Fei Hao
Drug Discovery Today (2024) Vol. 29, Iss. 4, pp. 103946-103946
Closed Access | Times Cited: 5

Current Approaches for Predicting Human PK for Small Molecule Development Candidates: Findings from the IQ Human PK Prediction Working Group Survey
Carl Petersson, Xin Zhou, Joerg Berghausen, et al.
The AAPS Journal (2022) Vol. 24, Iss. 5
Closed Access | Times Cited: 19

In silico activity and ADMET profiling of phytochemicals from Ethiopian indigenous aloes using pharmacophore models
Lemessa Etana Bultum, Gemechu Bekele Tolossa, Gwangmin Kim, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19

Synthesis, pharmacological evaluation, and molecular modeling studies of novel isatin hybrids as potential anticancer agents
Rajapandi Raju, Kumarappan Chidambaram, Balakumar Chandrasekaran, et al.
Journal of Saudi Chemical Society (2023) Vol. 27, Iss. 2, pp. 101598-101598
Open Access | Times Cited: 12

Virtual screening and molecular dynamics simulation approach for the identification of potential multi-target directed ligands for the treatment of Alzheimer’s disease
Kailash Jangid, Bharti Devi, Ashrulochan Sahoo, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 1, pp. 509-527
Closed Access | Times Cited: 12

Application of machine learning in combination with mechanistic modeling to predict plasma exposure of small molecules
Panteleimon D. Mavroudis, Donato Teutonico, Alexandra Abós, et al.
Frontiers in Systems Biology (2023) Vol. 3
Open Access | Times Cited: 11

Towards holistic Compound Quality Scores: Extending ligand efficiency indices with compound pharmacokinetic characteristics
Christofer S. Tautermann, Jens Markus Borghardt, Roland Pfau, et al.
Drug Discovery Today (2023) Vol. 28, Iss. 11, pp. 103758-103758
Open Access | Times Cited: 11

Comparative, synthesis, ADME studies, and electrochemical studies, of the divalent and monovalent binuclear complexes of malonate derivatives
Nelly H. Mahmoud, Hend S. Magar, Mariam G. Rizk, et al.
Journal of Molecular Structure (2024) Vol. 1305, pp. 137717-137717
Closed Access | Times Cited: 4

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