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:

New approach methodologies for exposure science
John F. Wambaugh, Jane Bare, Courtney C. Carignan, et al.
Current Opinion in Toxicology (2019) Vol. 15, pp. 76-92
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Suspect Screening, Prioritization, and Confirmation of Environmental Chemicals in Maternal-Newborn Pairs from San Francisco
Aolin Wang, Dimitri Abrahamsson, Ting Jiang, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 8, pp. 5037-5049
Open Access | Times Cited: 77

New Approach Methods to Evaluate Health Risks of Air Pollutants: Critical Design Considerations for In Vitro Exposure Testing
Jose Zavala, Anastasia N. Freedman, John T. Szilagyi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 6, pp. 2124-2124
Open Access | Times Cited: 76

Quantitative non-targeted analysis: Bridging the gap between contaminant discovery and risk characterization
James McCord, Louis C. Groff, Jon R. Sobus
Environment International (2021) Vol. 158, pp. 107011-107011
Open Access | Times Cited: 63

Transition to sustainable chemistry through digitalization
Peter Fantke, Claudio Cinquemani, Polina Yaseneva, et al.
Chem (2021) Vol. 7, Iss. 11, pp. 2866-2882
Open Access | Times Cited: 59

Critical Assessment of the Chemical Space Covered by LC–HRMS Non-Targeted Analysis
Tobias Hulleman, Viktoriia Turkina, Jake O’Brien, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 38, pp. 14101-14112
Open Access | Times Cited: 30

Exploring the use of Artificial Intelligence (AI) for extracting and integrating data obtained through New Approach Methodologies (NAMs) for chemical risk assessment
Tilmann Blümmel, Johannes Rehn, Carla Mereu, et al.
EFSA Supporting Publications (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 6

Human biomonitoring and toxicokinetics as key building blocks for next generation risk assessment
Elena Reale, Maryam Zare Jeddi, Alicia Paini, et al.
Environment International (2024) Vol. 184, pp. 108474-108474
Open Access | Times Cited: 6

InterDIA: Interpretable Prediction of Drug-induced Autoimmunity through Ensemble Machine Learning Approaches
Lina Huang, P. L. Liu, Xiaojie Huang
Toxicology (2025), pp. 154064-154064
Closed Access

Towards Neuroecosociality: Mental Health in Adversity
Nikolas Rose, Rasmus Hoffmann Birk, Nick Manning
Theory Culture & Society (2021) Vol. 39, Iss. 3, pp. 121-144
Open Access | Times Cited: 52

HExpPredict: In Vivo Exposure Prediction of Human Blood Exposome Using a Random Forest Model and Its Application in Chemical Risk Prioritization
Fanrong Zhao, Li Li, Penghui Lin, et al.
Environmental Health Perspectives (2023) Vol. 131, Iss. 3
Open Access | Times Cited: 17

Potential for Machine Learning to Address Data Gaps in Human Toxicity and Ecotoxicity Characterization
Kerstin von Borries, Hanna Holmquist, Marissa B. Kosnik, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18259-18270
Open Access | Times Cited: 14

Chemical and biological assessments of environmental mixtures: A review of current trends, advances, and future perspectives
Yu‐Syuan Luo, Zunwei Chen, Nan‐Hung Hsieh, et al.
Journal of Hazardous Materials (2022) Vol. 432, pp. 128658-128658
Closed Access | Times Cited: 25

The chemical landscape of high-throughput new approach methodologies for exposure
Kristin Isaacs, Peter Egeghy, Kathie L. Dionisio, et al.
Journal of Exposure Science & Environmental Epidemiology (2022) Vol. 32, Iss. 6, pp. 820-832
Open Access | Times Cited: 23

Innovative analytical methodologies for characterizing chemical exposure with a view to next-generation risk assessment
Žiga Tkalec, Jean‐Philippe Antignac, Nicole Bandow, et al.
Environment International (2024) Vol. 186, pp. 108585-108585
Open Access | Times Cited: 3

Next Generation Risk Assessment approaches for advanced nanomaterials: Current status and future perspectives
Danail Hristozov, Elena Badetti, Paolo Bigini, et al.
NanoImpact (2024) Vol. 35, pp. 100523-100523
Open Access | Times Cited: 3

In Vitro Approaches to Determine the Potential Carcinogenic Risk of Environmental Pollutants
Irene Barguilla, Véronique Maguer‐Satta, Boris Guyot, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 9, pp. 7851-7851
Open Access | Times Cited: 10

Organizing mechanism-related information on chemical interactions using a framework based on the aggregate exposure and adverse outcome pathways
Paul S. Price, Annie M. Jarabek, Lyle D. Burgoon
Environment International (2020) Vol. 138, pp. 105673-105673
Open Access | Times Cited: 30

Emerging investigator series: the role of chemical properties in human exposure to environmental chemicals
Zhizhen Zhang, Shenghong Wang, Li Li
Environmental Science Processes & Impacts (2021) Vol. 23, Iss. 12, pp. 1839-1862
Closed Access | Times Cited: 24

Integrating high-throughput exposure assessment and in vitro screening data to prioritize endocrine-active potential and dietary risks of pesticides and veterinary drug residues in animal products
Yu‐Syuan Luo, Zi-Yi Chiu, Kuen‐Yuh Wu, et al.
Food and Chemical Toxicology (2023) Vol. 173, pp. 113639-113639
Closed Access | Times Cited: 8

Assessment of the Long-Term Exposure to Lead in Four European Countries Using PBPK Modeling
Mouhamadou Moustapha Sy, Dimitra Eleftheriadou, Christian Jung, et al.
Exposure and Health (2023) Vol. 16, Iss. 1, pp. 21-39
Open Access | Times Cited: 8

Assessment of Chemical Toxicity in Adult <em>Drosophila Melanogaster</em>
Jessica M. Holsopple, Shannon R. Smoot, Ellen Popodi, et al.
Journal of Visualized Experiments (2023), Iss. 193
Open Access | Times Cited: 8

Machine learning predicts the serum PFOA and PFOS levels in pregnant women: Enhancement of fatty acid status on model performance
Lin Tao, Weitian Tang, Zhicai Xia, et al.
Environment International (2024) Vol. 190, pp. 108837-108837
Open Access | Times Cited: 2

A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target
Kristin M. Eccles, Agnes L. Karmaus, Nicole Kleinstreuer, et al.
The Science of The Total Environment (2022) Vol. 855, pp. 158905-158905
Open Access | Times Cited: 14

The Hazard index at thirty-seven: New science new insights
Paul S. Price
Current Opinion in Toxicology (2023) Vol. 34, pp. 100388-100388
Closed Access | Times Cited: 7

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