The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Diabetes mellitus statistics on prevalence and mortality: facts and fallacies
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Citations
Cites
Toprak, O., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney and Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,627
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2011) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 13,988
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,418
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,338
Global Burden of Diabetes, 1995–2025: Prevalence, numerical estimates, and projections
King, H., Aubert, R. E., & Herman, W. H. (1998) · Diabetes Care · doi:10.2337/diacare.21.9.1414 · Cited by 6,311
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491
Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance.
National Diabetes Data Group (1979) · Diabetes · doi:10.2337/diab.28.12.1039 · Cited by 4,909
Cited by
Global aetiology and epidemiology of type 2 diabetes mellitus and its complications
Zheng, Y., Ley, S. H., & Hu, F. B. (2018) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.151 · Cited by 5,697
Diabetes in sub-Saharan Africa: from clinical care to health policy
Atun, R., Davies, J. I., Gale, E. A. M., Bärnighausen, T., Beran, D., Kengne, A. P., Levitt, N. S., Mangugu, F. W., Nyirenda, M. J., Ogle, G. D., et al. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30181-x · Cited by 543
Classification and prediction of diabetes disease using machine learning paradigm
Maniruzzaman, M., Rahman, M. J., Ahammed, B., & Abedin, M. M. (2020) · Health Information Science and Systems · doi:10.1007/s13755-019-0095-z · Cited by 369
Extracellular vesicles: A bright star of nanomedicine
Wu, P., Zhang, B., Ocansey, D. K. W., Xu, W., & Qian, H. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2020.120467 · Cited by 368
Diabetes and its drivers: the largest epidemic in human history?
Zimmet, P. Z. (2017) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-016-0039-3 · Cited by 338
Self-citation
Metadata
- Authors
- Zimmet, P., Alberti, K. G., Magliano, D. J., & Bennett, P. H.
- Venue
- Nature Reviews Endocrinology
- Published
- 2016-07-08
- Volume
- 12
- Issue
- 10
- Pages
- 616-622
- ISSN
- 1759-5029 (ISSN-L)
- 1759-5037
- OpenAlex
- W2460530547
- Cited by
- 785
- References
- 52
- FWCI
- 9.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Diabetes mellitus statistics on prevalence and mortality: facts and fallacies. https://app.cochat.ai/papers/10.1038/nrendo.2016.105
- The paper
- Zimmet, P., Alberti, K. G., Magliano, D. J., & Bennett, P. H. (2016). Diabetes mellitus statistics on prevalence and mortality: facts and fallacies. Nature Reviews Endocrinology. https://doi.org/10.1038/nrendo.2016.105
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
