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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:

A review of in silico toxicology approaches to support the safety assessment of cosmetics-related materials
Mark T.D. Cronin, Steven J. Enoch, Judith C. Madden, et al.
Computational Toxicology (2022) Vol. 21, pp. 100213-100213
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Bioactive limonoids from Carapa guianensis seeds oil and the sustainable use of its by-products
Vagner Pereira da Silva, Lavínia de Carvalho Brito, André Mesquita Marques, et al.
Current Research in Toxicology (2023) Vol. 4, pp. 100104-100104
Open Access | Times Cited: 25
A Review on the Recent Applications of Deep Learning in Predictive Drug Toxicological Studies
Krishnendu Sinha, Nabanita Ghosh, Parames C. Sil
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1174-1205
Closed Access | Times Cited: 22
Making in silico predictive models for toxicology FAIR
Mark T.D. Cronin, Samuel J. Belfield, Katharine Briggs, et al.
Regulatory Toxicology and Pharmacology (2023) Vol. 140, pp. 105385-105385
Open Access | Times Cited: 17
Development and application of consensus in silico models for advancing high-throughput toxicological predictions
Sean P. Collins, Brandon Mailloux, Sunil Kulkarni, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 6
Marine cosmetics and the blue bioeconomy: from sourcing to success stories
Ana Rotter, Despoina Varamogianni-Mamatsi, Alenka Zvonar Pobirk, et al.
iScience (2024) Vol. 27, Iss. 12, pp. 111339-111339
Open Access | Times Cited: 6
In Silico Evaluation of the Antioxidant, Anti-Inflammatory, and Dermatocosmetic Activities of Phytoconstituents in Licorice (Glycyrrhiza glabra L.)
Toluwase Hezekiah Fatoki, Basiru Olaitan Ajiboye, Adeyemi O. Aremu
Cosmetics (2023) Vol. 10, Iss. 3, pp. 69-69
Open Access | Times Cited: 13
Elucidating the toxicity mechanism of AFM2 and the protective role of quercetin in albino mice
Muhammed Onur, Emine Yalçın, Kültiğin Çavuşoğlu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
In silico modeling-based new alternative methods to predict drug and herb-induced liver injury: A review
Hyun Kil Shin, Ruili Huang, Minjun Chen
Food and Chemical Toxicology (2023) Vol. 179, pp. 113948-113948
Open Access | Times Cited: 10
The role of a molecular informatics platform to support next generation risk assessment
Chihae Yang, James F. Rathman, Bruno Bienfait, et al.
Computational Toxicology (2023) Vol. 26, pp. 100272-100272
Open Access | Times Cited: 9
High Throughput Read-Across for Screening a Large Inventory of Related Structures by Balancing Artificial Intelligence/Machine Learning and Human Knowledge
Chihae Yang, James F. Rathman, Aleksandra Mostrąg, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 7, pp. 1081-1106
Closed Access | Times Cited: 9
A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties
Mark T.D. Cronin, Franklin J. Bauer, Mark Bonnell, et al.
Regulatory Toxicology and Pharmacology (2022) Vol. 135, pp. 105249-105249
Open Access | Times Cited: 13
Predicting skin permeability using HuskinDB
Laura J. Waters, Xin Ling Quah
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 12
Public views of animal testing and alternatives in chemical risk assessment
Angela Bearth, Lisa Wiesner, Michael Siegrist
Food and Chemical Toxicology (2024) Vol. 188, pp. 114644-114644
Open Access | Times Cited: 2
Effect of secondary and tertiary wastewater treatment methods on opioids and the subsequent environmental impact of effluent and biosolids
Jamie Simpson, Bradley S. Simpson, Cobus Gerber
Chemosphere (2024) Vol. 364, pp. 143307-143307
Open Access | Times Cited: 2
Novel machine learning models to predict endocrine disruption activity for high-throughput chemical screening
Sean P. Collins, Tara S. Barton‐Maclaren
Frontiers in Toxicology (2022) Vol. 4
Open Access | Times Cited: 9
Development and Evaluation of a Novel Anti-Ageing Cream Based on Hyaluronic Acid and Other Innovative Cosmetic Actives
Anca Maria Juncan, Claudiu Morgovan, Luca Liviu Rus, et al.
Polymers (2023) Vol. 15, Iss. 20, pp. 4134-4134
Open Access | Times Cited: 5
Computational framework for identifying and evaluating mutagenic and xenoestrogenic potential of food additives
Shweta Singh Chauhan, Prekshi Garg, Ramakrishnan Parthasarathi
Journal of Hazardous Materials (2024) Vol. 470, pp. 134233-134233
Closed Access | Times Cited: 1
Computational Methods as Part of Scientific Research in Cosmetic Sciences—Are We Using the Opportunity?
Laura Krumpholz, Sebastian Polak, Barbara Wiśniowska
Cosmetics (2024) Vol. 11, Iss. 3, pp. 79-79
Open Access | Times Cited: 1
Development, Use, and Validation of (Q)SARs for Predicting Genotoxicity and Carcinogenicity: Experiences from Italian National Institute of Health Activities
Chiara Laura Battistelli, Cecilia Bossa
Methods in molecular biology (2024), pp. 231-247
Closed Access | Times Cited: 1
TIRESIA and TISBE: Explainable Artificial Intelligence Based Web Platforms for the Transparent Assessment of the Developmental Toxicity of Chemicals and Drugs
Maria Vittoria Togo, Fabrizio Mastrolorito, Nicola Gambacorta, et al.
Methods in molecular biology (2024), pp. 373-391
Closed Access | Times Cited: 1
In-silico investigation of a novel inhibitors against the antibiotic-resistant Neisseria gonorrhoeae bacteria
Hani Mohammed Ali
Saudi Journal of Biological Sciences (2022) Vol. 29, Iss. 10, pp. 103424-103424
Open Access | Times Cited: 6
Skin sensitisation prediction using read-across, an illustrative next generation risk assessment (NGRA) case study for vanillin
Françoise Gautier, H. Assaf Vandecasteele, Fleur Tourneix, et al.
Regulatory Toxicology and Pharmacology (2023) Vol. 143, pp. 105458-105458
Closed Access | Times Cited: 3
A QSAR study for predicting malformation in zebrafish embryo
Mahsa Daneshmand, Jamileh Salar-Amoli, Negin BaghbanZadeh
Toxicology Mechanisms and Methods (2024) Vol. 34, Iss. 7, pp. 743-749
Closed Access
Chaotic neural network algorithm with competitive learning integrated with partial Least Square models for the prediction of the toxicity of fragrances in sanitizers and disinfectants
Matshidiso Lephalala, Salvador Sagrado Vives, Krishna Bisetty
The Science of The Total Environment (2024) Vol. 942, pp. 173754-173754
Open Access
New Approach Methodologies (NAMs) to Support Regulatory Decisions for Chemical Safety
Letizia Carramusa, Wilfrieda Mune, Neil Hunt, et al.
FSA research and evidence. (2024)
Closed Access
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