The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High prevalence of diabetes, obesity and dyslipidaemia in urban slum population in northern India
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Citations
Cites
Barker, D. J. P., Hales, C. N., Fall, C. H. D., Osmond, C., Phipps, K., & Clark, P. M. S. (1993) · Diabetologia · doi:10.1007/bf00399095 · Cited by 2,468
Cited by
Ramachandran, A., Wan Ma, R. C., & Snehalatha, C. (2010) · The Lancet · doi:10.1016/s0140-6736(09)60937-5 · Cited by 782
Responding to the threat of chronic diseases in India
Srinath Reddy, K., Shah, B., Varghese, C., & Ramadoss, A. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67343-6 · Cited by 728
Non-communicable disease syndemics: poverty, depression, and diabetes among low-income populations
Mendenhall, E., Kohrt, B. A., Norris, S. A., Ndetei, D., & Prabhakaran, D. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30402-6 · Cited by 556
Obesity-related non-communicable diseases: South Asians vs White Caucasians
Misra, A., & Khurana, L. (2011) · International Journal of Obesity · doi:10.1038/ijo.2010.135 · Cited by 469
Self-citationPrevalence of Dyslipidemia in Urban and Rural India: The ICMR–INDIAB Study
Joshi, S. R., Anjana, R. M., Deepa, M., Pradeepa, R., Bhansali, A., Dhandania, V. K., Joshi, P. P., Unnikrishnan, R., Nirmal, E., Subashini, R., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096808 · Cited by 403
Metadata
- Authors
- Misra, A., Pandey, R., Rama Devi, J., Sharma, R., Vikram, N., & Khanna, N.
- Venue
- International Journal of Obesity
- Published
- 2001-11-01
- Volume
- 25
- Issue
- 11
- Pages
- 1722-1729
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W2077175032
- Cited by
- 420
- References
- 1
- FWCI
- 6.64
- 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: High prevalence of diabetes, obesity and dyslipidaemia in urban slum population in northern India. https://app.cochat.ai/papers/10.1038/sj.ijo.0801748
- The paper
- Misra, A., Pandey, R., Rama Devi, J., Sharma, R., Vikram, N., & Khanna, N. (2001). High prevalence of diabetes, obesity and dyslipidaemia in urban slum population in northern India. International Journal of Obesity. https://doi.org/10.1038/sj.ijo.0801748
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.
