Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Structure-based virtual screening of perfluoroalkyl and polyfluoroalkyl substances (PFASs) as endocrine disruptors of androgen receptor activity using molecular docking and machine learning
Ettayapuram Ramaprasad Azhagiya Singam, Phum Tachachartvanich, Denis Fourches, et al.
Environmental Research (2020) Vol. 190, pp. 109920-109920
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications
Jaeseong Jeong, Jinhee Choi
Environmental Science & Technology (2022) Vol. 56, Iss. 12, pp. 7532-7543
Closed Access | Times Cited: 80
MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data
Katarzyna Arturi, Eliza Jane Harris, Lilian Gasser, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Suspect, Nontarget Screening, and Toxicity Prediction of Per- and Polyfluoroalkyl Substances in the Landfill Leachate
Chao Feng, Yuanjie Lin, Sunyang Le, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 10, pp. 4737-4750
Closed Access | Times Cited: 10
Advancing toxicity studies of per- and poly-fluoroalkyl substances (pfass) through machine learning: Models, mechanisms, and future directions
Lingxuan Meng, Beihai Zhou, Haijun Liu, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174201-174201
Closed Access | Times Cited: 9
Progress, applications, and challenges in high-throughput effect-directed analysis for toxicity driver identification — is it time for HT-EDA?
Iker Alvarez-Mora, Katarzyna Arturi, Frederic Béen, et al.
Analytical and Bioanalytical Chemistry (2024)
Open Access | Times Cited: 8
Assessment of the Emerging Threat Posed by Perfluoroalkyl and Polyfluoroalkyl Substances to Male Reproduction in Humans
Leah Calvert, Mark P. Green, Geoffry N. De Iuliis, et al.
Frontiers in Endocrinology (2022) Vol. 12
Open Access | Times Cited: 37
Investigation of the Binding Fraction of PFAS in Human Plasma and Underlying Mechanisms Based on Machine Learning and Molecular Dynamics Simulation
Huiming Cao, Peng Jian-hua, Zhen Zhou, et al.
Environmental Science & Technology (2022) Vol. 57, Iss. 46, pp. 17762-17773
Closed Access | Times Cited: 30
Remediation and toxicity of endocrine disruptors: a review
Ravichandran Swathy Monisha, Ragupathy Lakshmi Mani, Baskaran Sivaprakash, et al.
Environmental Chemistry Letters (2022) Vol. 21, Iss. 2, pp. 1117-1139
Closed Access | Times Cited: 28
Prediction of the Interactions of a Large Number of Per- and Poly-Fluoroalkyl Substances with Ten Nuclear Receptors
Ettayapuram Ramaprasad Azhagiya Singam, Kathleen A. Durkin, Michele A. La Merrill, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 10, pp. 4487-4499
Open Access | Times Cited: 7
In Vitro characterization of the endocrine disrupting effects of per- and poly-fluoroalkyl substances (PFASs) on the human androgen receptor
Phum Tachachartvanich, Ettayapuram Ramaprasad Azhagiya Singam, Kathleen A. Durkin, et al.
Journal of Hazardous Materials (2022) Vol. 429, pp. 128243-128243
Open Access | Times Cited: 26
In Silico Prediction of Human Organ Toxicity via Artificial Intelligence Methods
Yuxuan Hu, Qiuhan Ren, Xintong Liu, et al.
Chemical Research in Toxicology (2023) Vol. 36, Iss. 7, pp. 1044-1054
Closed Access | Times Cited: 14
Association between exposure to per- and perfluoroalkyl substances (PFAS) and reproductive hormones in human: A systematic review and meta-analysis
Ling Li, Yingkun Guo, Shuai Ma, et al.
Environmental Research (2023) Vol. 241, pp. 117553-117553
Closed Access | Times Cited: 14
Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment
Md Hasan-Ur Rahman, Rabbi Sikder, Tanvir Ahamed Tonmoy, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106941-106941
Closed Access
Perfluorooctane Sulfonate (PFOS) and Related Compounds Induce Nuclear Receptor 4A1 (NR4A1)-Dependent Carcinogenesis
Amanuel Hailemariam, Srijana Upadhyay, Vinod K. Srivastava, et al.
Chemical Research in Toxicology (2025)
Open Access
Evaluation of 28-day inhalation toxicity mechanism of environmentally friendly insulating gas C5F10O based on pharmacology and molecular docking technology
Shuangshuang Tian, Qianqian Wan, Yimeng Chen, et al.
Food and Chemical Toxicology (2025), pp. 115356-115356
Closed Access
An artificial intelligence platform for automated PFAS subgroup classification: A discovery tool for PFAS screening
An Su, Yingying Cheng, Chengwei Zhang, et al.
The Science of The Total Environment (2024) Vol. 921, pp. 171229-171229
Closed Access | Times Cited: 4
Oncological drug discovery: AI meets structure-based computational research
Marina Gorostiola González, Antonius P. A. Janssen, Adriaan P. IJzerman, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 6, pp. 1661-1670
Open Access | Times Cited: 17
Reproductive endocrine disruption and gonadal intersex induction in male Japanese medaka chronically exposed to betamethasone at environmentally relevant levels
Maoliang Su, Youling Zhong, Jiazhi Xiang, et al.
Journal of Hazardous Materials (2023) Vol. 455, pp. 131493-131493
Closed Access | Times Cited: 9
A preliminary understanding of the relationship between synthetic phenolic antioxidants and early pregnancy loss: Uncovering the potential molecular mechanisms
Ya-Qian Xu, Na Zhang, Yu Hu, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 171972-171972
Closed Access | Times Cited: 3
Structure-based modeling to assess binding and endocrine disrupting potential of polycyclic aromatic hydrocarbons in Danio rerio
Tugstênio Lima de Souza, Jessica Zablocki da Luz, Luiza dos Santos Barreto, et al.
Chemico-Biological Interactions (2024) Vol. 398, pp. 111109-111109
Closed Access | Times Cited: 3
Screening Novel Per- and Polyfluoroalkyl Substances in Human Blood Based on Nontarget Analysis and Underestimated Potential Health Risks
Xin Chen, Zixuan Lv, Yi Yang, et al.
Environmental Science & Technology (2023) Vol. 58, Iss. 1, pp. 150-159
Closed Access | Times Cited: 8
Predicting the binding of small molecules to nuclear receptors using machine learning
Azhagiya Singam Ettayapuram Ramaprasad, Martyn T. Smith, David McCoy, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 13
Prediction of the endocrine-disrupting ability of 49 per- and polyfluoroalkyl substances: In silico and epidemiological evidence
Shuling Yu, Jing Ren, Zhenxia Lv, et al.
Chemosphere (2021) Vol. 290, pp. 133366-133366
Closed Access | Times Cited: 17
Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
Chang‐Hun Kim, Jaeseong Jeong, Jinhee Choi
Chemical Research in Toxicology (2022) Vol. 35, Iss. 12, pp. 2219-2226
Closed Access | Times Cited: 12
Study on subacute inhalation toxicity and offspring teratogenicity of C4F7N: An environmentally friendly insulating gas to replace SF6
Shuangshuang Tian, Weihao Liu, Jianjun Ding, et al.
Journal of Cleaner Production (2022) Vol. 387, pp. 135799-135799
Closed Access | Times Cited: 12
Page 1 - Next Page

Scroll to top