World Journal of Diabetes - Baishideng Publishing Group

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 16, Issue 4

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (1874)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-2) series.

Item

Count

PDF

HTML

467

Figures (1-2)

126

Sum=686

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

290

Download

426

Sum=716

Publishing Process of This Article

Item

Count

Browse

Download

346

Sum=418

Apr 15, 2025 (publication date) through Oct 23, 2025

Times Cited of This Article

Times Cited (3)

Journal Information of This Article

Publication Name

World Journal of Diabetes

ISSN

1948-9358

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef

For:	Gao M, Dai MT, Gong GH. Dysfunctional glucose metabolism triggers oxidative stress to induce kidney injury in diabetes. World J Diabetes 2025; 16(4): 102554 [PMID: 40236851 DOI: 10.4239/wjd.v16.i4.102554]
URL:	https://www.wjgnet.com/1948-9358/full/v16/i4/102554.htm

Number	Citing Articles
1	Mechanisms of Heavy Metal Toxicity at the Cellular, Molecular and General Health Levels. Journal of Biomedicine and Biochemistry 2025; 4(2): 98 doi: 10.57238/jbb.2025.7432.1142
2	Yan Chen, Meng-Ting Dai, Guo-Hua Gong. L-arginine overdose is a potential risk factor for myocardial injury in patients with type 2 diabetes. World Journal of Diabetes 2025; 16(5): 104409 doi: 10.4239/wjd.v16.i5.104409 Abstract(145) \| Core Tip(126) \| Full Article(HTML)(889) \| Full Article with Cover (PDF)-997K(82) \| Audio-927K(21) \| Peer-Review Report-308K(49) \| Answering Reviewers-166K(37) \| Full Article (PDF)-775K(49) \| Full Article (XML)-52K(43) \| Times Cited (1) \| Total Visits (2272) \| Open
3	Md. Saiful Islam, Sams Uddin Sams, Sadit Bihongo Malitha, Md. Zahangir Alam. Trend analysis of reaction parameters and properties of plant-mediated green synthesized selenium nanoparticles using non-parametric statistical methods (Mann–Kendall trend test, Sen's slope estimator, ANOVA) and their applications in the modern world: a critical perspective. RSC Advances 2025; 15(34): 28155 doi: 10.1039/D5RA03940A