OpenAlex Citation Counts

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:

Antidepressant-like effects of cinnamamide derivative M2 via D2 receptors in the mouse medial prefrontal cortex
Yan-Xin Che, Xiaoyan Jin, Rong-hua Xiao, et al.
Acta Pharmacologica Sinica (2022) Vol. 43, Iss. 9, pp. 2267-2275
Open Access | Times Cited: 5

Showing 5 citing articles:

Gut microbiota alterations promote traumatic stress susceptibility associated with p-cresol-induced dopaminergic dysfunctions
Samuele Laudani, Sebastiano Alfio Torrisi, Silvia Alboni, et al.
Brain Behavior and Immunity (2022) Vol. 107, pp. 385-396
Closed Access | Times Cited: 31

Neurobiologically interpretable causal connectome for predicting young adult depression: A graph neural network study
Sunghwan Kim, Su Hyun Bong, Seokho Yun, et al.
Journal of Affective Disorders (2025) Vol. 377, pp. 225-234
Closed Access

Plant Extracts for Type 2 Diabetes: Mechanisms, Clinical Implications and Future Directions—A Systematic Review
Yiqiang Wang, Xuan Liu, Qin Li
Journal of Biobased Materials and Bioenergy (2024) Vol. 18, Iss. 5, pp. 771-794
Closed Access

Exploring the contribution of the dopaminergic and noradrenergic systems in the antidepressant-like action of 1-(2-(4-(4-ethylphenyl)-1H-1,2,3-triazol-1-yl)phenyl)ethanone in mice
Marcelo Heinemann Presa, Marcia Juciele da Rocha, Kauane Nayara Bahr Ledebuhr, et al.
Behavioural Brain Research (2024) Vol. 480, pp. 115390-115390
Closed Access

Neurobiologically Interpretable Causal Connectome for Predicting Young Adult Depression: A Graph Neural Network Study
Sunghwan Kim, Su Hyun Bong, Seokho Yun, et al.
(2023)
Closed Access

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Requested Article:

Showing 5 citing articles:

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