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:

Using routinely collected data to determine care cascades of hypertension and type-2 diabetes management in China: a cross-sectional study
Shangzhi Xiong, Wei Jiang, Yongchen Wang, et al.
The Lancet Regional Health - Western Pacific (2024) Vol. 45, pp. 101019-101019
Open Access | Times Cited: 6

Showing 6 citing articles:

Unveiling pathways to enhance hypertension and diabetes care in rural China: a mixed methods study using the care cascade model
Xuejun Yin, Z. WANG, Jia Li, et al.
The Lancet Regional Health - Western Pacific (2025) Vol. 58, pp. 101574-101574
Open Access

Barriers and Facilitators to Implementing Food is Medicine for the Management of Type 2 Diabetes in China
Yuze Xin, Hongru Sun, Shuangjie Peng, et al.
Journal of General Internal Medicine (2024)
Closed Access | Times Cited: 2

Co-designing interventions to strengthen the primary health care system for the management of hypertension and type 2 diabetes in China
Shangzhi Xiong, Jiang Wei, Yongchen Wang, et al.
The Lancet Regional Health - Western Pacific (2024) Vol. 49, pp. 101131-101131
Open Access

Missed opportunities for hypertension screening of older people in the Philippines: cross-sectional analysis of nationally representative individual-level data
Aleli D. Kraft, Joseph J. Capuno, Kayleen Gene R Calicdan, et al.
The Lancet Regional Health - Western Pacific (2024) Vol. 50, pp. 101188-101188
Open Access

Using primary and routinely collected data to determine prevalence and patterns of multimorbidity in rural China: a representative cross-sectional study of 6474 Chinese adults
Xinyi Zhang, Tingzhuo Liu, Zhifang Li, et al.
The Lancet Regional Health - Western Pacific (2024) Vol. 54, pp. 101272-101272
Closed Access

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