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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:

Performance of preclinical models in predicting drug-induced liver injury in humans: a systematic review
Hubert Dirven, Gunn Elisabeth Vist, Sricharan Bandhakavi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Insights into the molecular targets and emerging pharmacotherapeutic interventions for nonalcoholic fatty liver disease
Chander K. Negi, Pavel Babica, Lola Bajard, et al.
Metabolism (2021) Vol. 126, pp. 154925-154925
Open Access | Times Cited: 163
Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review
Thomas Bozada, James Borden, Jeffrey Workman, et al.
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 70
Probabilistic risk assessment – the keystone for the future of toxicology
Alexandra Maertens
ALTEX (2022) Vol. 39, Iss. 1, pp. 3-29
Open Access | Times Cited: 61
Multimodal molecular imaging in drug discovery and development
Isabeau Vermeulen, Emre M. Isin, Patrick Barton, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 8, pp. 2086-2099
Open Access | Times Cited: 39
Application of ToxCast/Tox21 data for toxicity mechanism-based evaluation and prioritization of environmental chemicals: Perspective and limitations
Jaeseong Jeong, Donghyeon Kim, Jinhee Choi
Toxicology in Vitro (2022) Vol. 84, pp. 105451-105451
Closed Access | Times Cited: 37
Microfluidic Human Physiomimetic Liver Model as a Screening Platform for Drug Induced Liver Injury
Souradeep Dey, Amritha Bhat, G. Janani, et al.
Biomaterials (2024) Vol. 310, pp. 122627-122627
Closed Access | Times Cited: 7
A History of Regulatory Animal Testing: What Can We Learn?
Doortje Swaters, Anne van der Veen, W.P. van Meurs, et al.
Alternatives to Laboratory Animals (2022) Vol. 50, Iss. 5, pp. 322-329
Open Access | Times Cited: 27
Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury
Qiang Shi, Ayesha Arefin, Lijun Ren, et al.
Current Protocols (2022) Vol. 2, Iss. 7
Closed Access | Times Cited: 22
Perspective: How complex in vitro models are addressing the challenges of predicting drug-induced liver injury
Katrina A. Taylor, R. Ram, Lorna Ewart, et al.
Frontiers in Drug Discovery (2025) Vol. 5
Open Access
The impact of a selective androgen receptor modulator (RAD140) on frailty and underlying mechanisms in older male and female C57Bl/6 mice
Stefan Heinze-Milne, Marilyn J. Hodgins, Susan E. Howlett
Mechanisms of Ageing and Development (2025), pp. 112054-112054
Closed Access
Engineering complexity in human tissue models of cancer
Kacey Ronaldson-Bouchard, Ilaria Baldassarri, Daniel Naveed Tavakol, et al.
Advanced Drug Delivery Reviews (2022) Vol. 184, pp. 114181-114181
Open Access | Times Cited: 22
Antidiabetic potential of thiazolidinedione derivatives with efficient design, molecular docking, structural activity relationship, and biological activity: an update review (2021–2023)
Anchal Sharma, Nitish Kumar, Harmandeep Kaur Gulati, et al.
Molecular Diversity (2024)
Closed Access | Times Cited: 4
The role of ‘big data’ and ‘in silico’ New Approach Methodologies (NAMs) in ending animal use – A commentary on progress
Rebecca Ram, Domenico Gadaleta, Timothy E. H. Allen
Computational Toxicology (2022) Vol. 23, pp. 100232-100232
Closed Access | Times Cited: 16
Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets
Jian Jiang, J. van Ertvelde, Gökhan Ertaylan, et al.
Archives of Toxicology (2023) Vol. 97, Iss. 11, pp. 2969-2981
Open Access | Times Cited: 10
Identifying multiscale translational safety biomarkers using a network-based systems approach
Giulia Callegaro, Johannes P. Schimming, Janet Piñero, et al.
iScience (2023) Vol. 26, Iss. 3, pp. 106094-106094
Open Access | Times Cited: 9
Characterization of glioblastoma spheroid models for drug screening and phototherapy assays
Samara Rodrigues Alves, Italo Rodrigo Calori, Hong Bi, et al.
OpenNano (2022) Vol. 9, pp. 100116-100116
Open Access | Times Cited: 15
Modeling drug-induced liver injury: current status and future prospects
Daniel E. Di Zeo-Sánchez, Antonio Segovia‐Zafra, Gonzalo Matilla‐Cabello, et al.
Expert Opinion on Drug Metabolism & Toxicology (2022) Vol. 18, Iss. 9, pp. 555-573
Open Access | Times Cited: 14
Chemistry-Based Modeling on Phenotype-Based Drug-Induced Liver Injury Annotation: From Public to Proprietary Data
Mohammad Mahdi Moein, Markus Heinonen, Natalie Mesens, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1238-1247
Open Access | Times Cited: 7
A deep learning approach for acute liver failure prediction with combined fully connected and convolutional neural networks
Hefu Xie, Bingbing Wang, Yuanzhen Hong
Technology and Health Care (2024) Vol. 32, pp. 555-564
Open Access | Times Cited: 2
Comprehensive hepatotoxicity prediction: ensemble model integrating machine learning and deep learning
Muhammad Zafar Irshad Khan, Jia-Nan Ren, Cheng Cao, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 2
Gelatin-Based Hybrid Hydrogel Scaffolds: Toward Physicochemical Liver Mimicry
Nathan Carpentier, Louis Van der Meeren, André G. Skirtach, et al.
Biomacromolecules (2022) Vol. 24, Iss. 10, pp. 4333-4347
Closed Access | Times Cited: 11
The role of systematic reviews in identifying the limitations of preclinical animal research, 2000–2022: part 2
Merel Ritskes‐Hoitinga, Pandora Pound
Journal of the Royal Society of Medicine (2022) Vol. 115, Iss. 6, pp. 231-235
Open Access | Times Cited: 10
Protocol for designing INVITES-IN, a tool for assessing the internal validity of in vitro studies
Camilla Svendsen, Paul Whaley, Gunn Elisabeth Vist, et al.
Evidence-Based Toxicology (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 5
Preclinical side effect prediction through pathway engineering of protein interaction network models
Mohammadali Alidoost, Jennifer L. Wilson
CPT Pharmacometrics & Systems Pharmacology (2024) Vol. 13, Iss. 7, pp. 1180-1200
Open Access | Times Cited: 1
Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in Development
Fahad Mostafa, Victoria E. Howle, Minjun Chen
Toxics (2024) Vol. 12, Iss. 6, pp. 385-385
Open Access | Times Cited: 1
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