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:

Identification of ADAM23 as a Potential Signature for Psoriasis Using Integrative Machine-Learning and Experimental Verification
Pingping Yao, Yuying Jia, Xuewei Kan, et al.
International Journal of General Medicine (2023) Vol. Volume 16, pp. 6051-6064
Open Access | Times Cited: 5

Showing 5 citing articles:

IL‐17C‐Mediated Upregulation of SMURF2 Induces Psoriatic Changes in Keratinocytes by Facilitating PPP6C Ubiquitination
Jingyi Mao, Xin Ma, Yuanyuan Sun, et al.
Cell Biology International (2025)
Closed Access

Macrophage Functions in Psoriasis: Lessons from Mouse Models
Katarzyna Nazimek, Krzysztof Bryniarski
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 10, pp. 5306-5306
Open Access | Times Cited: 3

Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review
Payton Smith, Chandler Johnson, Kathryn Haran, et al.
Current Dermatology Reports (2024) Vol. 13, Iss. 3, pp. 141-147
Open Access | Times Cited: 3

A Snapshot of Biomarkers in Psoriasis
Krushna Abhale, Veeranjaneyulu Addepalli, Shivani Desai
Current Drug Discovery Technologies (2024) Vol. 22, Iss. 1
Closed Access | Times Cited: 1

The Role of Pharmacometrics in Advancing the Therapies for Autoimmune Diseases
Artur Świerczek, Dominika Batko, Elżbieta Wyska
Pharmaceutics (2024) Vol. 16, Iss. 12, pp. 1559-1559
Open Access

A comprehensive study on the application of machine learning in psoriasis diagnosis and treatment: taxonomy, challenges and recommendations
Mohsen Ghorbian, Mostafa Ghobaei‐Arani, ‪Saeid Ghorbian
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access

Page 1

Scroll to top