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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:

Associations between continuous glucose monitoring-derived metrics and diabetic retinopathy and albuminuria in patients with type 2 diabetes
Satomi Wakasugi, Tomoya Mita, Naoto Katakami, et al.
BMJ Open Diabetes Research & Care (2021) Vol. 9, Iss. 1, pp. e001923-e001923
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Continuous glucose monitoring for the routine care of type 2 diabetes mellitus
Ramzi Ajjan, Tadej Battelino, Xavier Cos, et al.
Nature Reviews Endocrinology (2024) Vol. 20, Iss. 7, pp. 426-440
Closed Access | Times Cited: 21
Time in range, as measured by continuous glucose monitor, as a predictor of microvascular complications in type 2 diabetes: a systematic review
Rishi Raj, Rahul Mishra, Nivedita Jha, et al.
BMJ Open Diabetes Research & Care (2022) Vol. 10, Iss. 1, pp. e002573-e002573
Open Access | Times Cited: 50
The use of continuous glucose monitoring in people living with obesity, intermediate hyperglycemia or type 2 diabetes
Tadej Battelino, Nebojša Lalić, Sufyan Hussain, et al.
Diabetes Research and Clinical Practice (2025), pp. 112111-112111
Open Access
Beyond A1C: exploring continuous glucose monitoring metrics in managing diabetes
Jared G. Friedman, Kasey Coyne, Grazia Aleppo, et al.
Endocrine Connections (2023) Vol. 12, Iss. 7
Open Access | Times Cited: 10
Continuous Glucose Monitoring Impact and Implications of Real-World Evidence: Past, Present, and Future
James R. Gavin, Clifford J. Bailey
Diabetes Technology & Therapeutics (2023) Vol. 25, Iss. S3, pp. S-13
Open Access | Times Cited: 9
Increased glycemic variability results in abnormal differentiation of T cell subpopulation in type 2 diabetes patients
Qi Sun, Ping Yang, Qingwei Gu, et al.
Journal of Diabetes and its Complications (2024) Vol. 38, Iss. 6, pp. 108738-108738
Closed Access | Times Cited: 3
Significance of Glycemic Variability in Diabetes Mellitus
Yoshiki Kusunoki, Kosuke Konishi, Taku Tsunoda, et al.
Internal Medicine (2021) Vol. 61, Iss. 3, pp. 281-290
Open Access | Times Cited: 21
Predictive model for diabetic retinopathy under limited medical resources: A multicenter diagnostic study
Yanzhi Yang, Juntao Tan, Yuxin He, et al.
Frontiers in Endocrinology (2023) Vol. 13
Open Access | Times Cited: 7
Continuous glucose monitoring-derived time in range and CV are associated with altered tissue characteristics of the carotid artery wall in people with type 2 diabetes
Tomoya Mita, Naoto Katakami, Yosuke Okada, et al.
Diabetologia (2023) Vol. 66, Iss. 12, pp. 2356-2367
Open Access | Times Cited: 7
Association between brain imaging biomarkers and continuous glucose monitoring-derived glycemic control indices in Japanese patients with type 2 diabetes mellitus
Chikako Inoue, Yoshiki Kusunoki, Mana Ohigashi, et al.
BMJ Open Diabetes Research & Care (2024) Vol. 12, Iss. 1, pp. e003744-e003744
Open Access | Times Cited: 2
Age at Diagnosis of Diabetes in Young Men is Associated with Albuminuria
Qingqing Zhang, Liang Cheng, Boliang Li, et al.
Diabetes Metabolic Syndrome and Obesity (2024) Vol. Volume 17, pp. 1543-1549
Open Access | Times Cited: 2
Glycemic variability is associated with sural nerve conduction velocity in outpatients with type 2 diabetes: Usefulness of a new point‐of‐care device for nerve conduction studies
Machiko Morita, Kentaro Sada, Shuji Hidaka, et al.
Journal of Diabetes Investigation (2024) Vol. 15, Iss. 8, pp. 1075-1083
Open Access | Times Cited: 2
Cardiovascular Risk Factors as Independent Predictors of Diabetic Retinopathy in Type II Diabetes Mellitus: The Development of a Predictive Model
Cristian Rosu, Melania Lavinia Bratu, Emil Robert Stoicescu, et al.
Medicina (2024) Vol. 60, Iss. 10, pp. 1617-1617
Open Access | Times Cited: 2
Uric Acid and Diabetic Retinopathy: A Systematic Review and Meta-Analysis
Yicong Guo, Siyue Liu, Huilan Xu
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 12
Risk Factor Analysis for Type 2 Diabetes Patients About Hypoglycemia Using Continuous Glucose Monitoring: Results from a Prospective Observational Study
Fumi Uemura, Yosuke Okada, Tomoya Mita, et al.
Diabetes Technology & Therapeutics (2022) Vol. 24, Iss. 6, pp. 435-445
Closed Access | Times Cited: 9
Is Continuous Glucose Monitoring a Tool, an Intervention, or Both?
Eugene E. Wright, Savitha Subramanian
Diabetes Technology & Therapeutics (2023) Vol. 25, Iss. S3, pp. S-55
Closed Access | Times Cited: 5
Differential correlation between time in range and eGFR or albuminuria in type 2 diabetes
Xuguang Jin, Xinyi Yang, Yixin Xu, et al.
Diabetology & Metabolic Syndrome (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Should We Bury HbA1c?
Laura B. Bovee, Irl B. Hirsch
Diabetes Technology & Therapeutics (2024) Vol. 26, Iss. 8, pp. 509-513
Closed Access | Times Cited: 1
Time in Range: Unveiling the Correlation with Diabetic Retinopathy in Type 2 Diabetes: A Systematic Review and Meta-Analysis
Kevin Gracia Pratama, Maria Angelia, Yufilia Suci Amelia, et al.
Clinical Diabetology (2024) Vol. 13, Iss. 3, pp. 132-139
Open Access | Times Cited: 1
The clinical importance of measuring glycaemic variability: Utilising new metrics to optimise glycaemic control
Ramzi Ajjan
Diabetes Obesity and Metabolism (2024)
Closed Access | Times Cited: 1
Associations between continuous glucose monitoring-derived metrics and HbA1c in patients with type 2 diabetes mellitus
Akira Kurozumi, Yosuke Okada, Tomoya Mita, et al.
Diabetes Research and Clinical Practice (2022) Vol. 186, pp. 109836-109836
Open Access | Times Cited: 7
Relationship between blood glucose variability in ambulatory glucose profile and standardized continuous glucose monitoring metrics: Subanalysis of a prospective cohort study
Akemi Tokutsu, Yosuke Okada, Tomoya Mita, et al.
Diabetes Obesity and Metabolism (2021) Vol. 24, Iss. 1, pp. 82-93
Closed Access | Times Cited: 7
Association between low‐carbohydrate diets and continuous glucose monitoring‐derived time in ranges
Keiko Osugi, Yoshiki Kusunoki, Mana Ohigashi, et al.
Journal of Diabetes Investigation (2023) Vol. 14, Iss. 5, pp. 659-668
Open Access | Times Cited: 2
Effects of Glycemic Variability on Regulatory T Cells in Patients with Type 2 Diabetes and Kidney Disease
Qingwei Gu, Qi Sun, Jie Wang, et al.
Diabetes Metabolic Syndrome and Obesity (2023) Vol. Volume 16, pp. 2365-2375
Open Access | Times Cited: 2
Use of Continuous Glucose Monitoring and Glucagon-Like Peptide 1 Receptor Agonist Therapy to Achieve Individualized Treatment Goals in Insulin-Treated People With Type 2 Diabetes: A Case Series and Expert Opinion
Nicole Ehrhardt, Vanita R. Aroda, Rodolfo J. Galindo, et al.
Clinical Diabetes (2023) Vol. 42, Iss. 2, pp. 341-350
Open Access | Times Cited: 2
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