Articles published in Journal of Diabetes & Metabolism have been cited by esteemed scholars and scientists all around the world. Journal of Diabetes & Metabolism has got h-index 43, which means every article in Journal of Diabetes & Metabolism has got 43 average citations.
Following are the list of articles that have cited the articles published in Journal of Diabetes & Metabolism.
| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | |
|---|---|---|---|---|---|---|
Total published articles |
123 | 107 | 59 | 61 | 45 | 23 |
Research, Review articles and Editorials |
44 | 54 | 37 | 40 | 21 | 22 |
Research communications, Review communications, Editorial communications, Case reports and Commentary |
5 | 1 | 2 | 5 | 3 | 0 |
Conference proceedings |
6 | 16 | 5 | 7 | 0 | 45 |
Citations received as per Google Scholar, other indexing platforms and portals |
632 | 946 | 1156 | 1199 | 1039 | 1106 |
| Journal total citations count | 10648 |
| Journal impact factor | 12.50 |
| Journal 5 years impact factor | 18.23 |
| Journal cite score | 23.62 |
| Journal h-index | 43 |
| Journal Impact Factor 2020 formula |
| IF= Citations(y)/{Publications(y-1)+ Publications(y-2)} Y= Year |
| Journal 5-year Impact Factor 2020 formula |
| Citations(2016 + 2017 + 2018 + 2019 + 2020)/ {Published articles(2016 + 2017 + 2018 + 2019 + 2020)} |
| Journal citescore |
| Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3 |
Leuk J (2014) Type 2 Diabetes and Multiple Myeloma: The Latest Insights. |
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Joffe YT. Overcoming a Knowledge Gap to Develop Competent Nutrigenomics Practitioners. |
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Müller SM (2014) Validation of the International Classification of Functioning, Disability and Health (ICF) Core Set for Diabetes Mellitus: A Worldwide Delphi Survey Among Physicians (Doctoral dissertation, München, Ludwig-Maximilians-Universität, Diss., 2014). |
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Glucagon-Like Peptide-1 Analogues and Anxiety and Abnormal Eating Behaviours in Type 2 Diabetes: A Case Report |
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Di Bartolo P, Nicolucci A, Cherubini V, Iafusco D, Scardapane M, et al. (2017) Young patients with type 1 diabetes poorly controlled and poorly compliant with self-monitoring of blood glucose: can technology help? Results of the i-NewTrend randomized clinical trial. Acta Diabetologica 54: 393-402. |
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Nicolucci A, Rossi MC, Cherubini V, Iafusco V, Pellegrini F (2014) Comparative Efficacy of iBGStar™ Glucose Meter vs. A Traditional Glucose Meter in Type 1 Diabetes. J Diabetes Metab 5: 2. |
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Al-Kaabi JM, Al-Maskari F, Zoubeidi T, Abdulle A, Shah SM (2014) Peripheral artery disease in type 2 diabetic patients from the United Arab Emirates. J. Diabetes Metab 5: 388. |
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Bondar IA, Shabel'nikova OY (2013) Genetic framework of type 2 diabetes mellitus. Diabetes mellitus 16: 11-16. |
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Zia A, Wang X, Bhatti A, Demirci FY, Zhao W, et al. (2015) A replication study of 49 Type 2 diabetes risk variants in a Punjabi Pakistani population. Diabetic Medicine. |
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Ahmed RH, Huri HZ, Al-Hamodi Z, Salem SD, Al-absi B, et al. (2016) Association of DPP4 gene polymorphisms with type 2 diabetes mellitus in Malaysian subjects. PloS one 11: e0154369. |
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O’Beirne SL, Salit J, Rodriguez-Flores JL, Staudt MR, Khalil CA, et al. (2016) Type 2 Diabetes Risk Allele Loci in the Qatari Population. PloS one 11: e0156834. |
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Jaczó Z, Pál E, Dénes R, Somogyi A, Sasváriâ€Székely M, et al. (2015) Rapid analysis of colipase gene variants by multicapillary electrophoresis. Electrophoresis 36: 1237-1243. |
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Jenkinson CP, Göring HH, Arya R, Blangero J, Duggirala R, et al. (2016) Transcriptomics in type 2 diabetes: Bridging the gap between genotype and phenotype. Genomics data 8: 25-36. |
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Arya R, Puppala S, Farook VS, Chittoor G, Jenkinson CP, et al. (2015) Mapping of susceptibility genes for obesity, type 2 diabetes, and the metabolic syndrome in human populations. InGenome Mapping and Genomics in Human and Non-Human Primates 2015 (pp. 181-245). Springer Berlin Heidelberg. |
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Lebrón-Aldea D, Dhurandhar EJ, Pérez-Rodríguez P, Klimentidis YC, Tiwari HK, et al. (2015) Integrated genomic and BMI analysis for type 2 diabetes risk assessment. Frontiers in genetics. |
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Ghaedi H, Tabasinezhad M, Alipoor B, Shokri F, Movafagh A, et al. (2016) The pre-mir-27a variant rs895819 may contribute to type 2 diabetes mellitus susceptibility in an Iranian cohort. Journal of endocrinological investigation 39: 1187-1193. |
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Paramasivam D, Safi SZ, Qvist R, Abidin IB, Hairi NN, et al. (2016) Role of PPARG (Pro12Ala) in Malaysian type 2 diabetes mellitus patients. International Journal of Diabetes in Developing Countries 36: 449-456. |
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Radha V, Mohan V (2014) Predictive value of genomics in the screening of type 2 diabetes: limitations and current status. Advances in Genomics and Genetics. |
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Phani NM, Adhikari P, Nagri SK, D’Souza SC, Satyamoorthy K, et al. (2016) Replication and relevance of multiple susceptibility loci discovered from genome wide association studies for type 2 diabetes in an Indian population. PLos One 11: e0157364. |
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Tomar AS, Tallapragada DS, Nongmaithem SS, Shrestha S, Yajnik CS, et al. (2015) Intrauterine Programming of Diabetes and Adiposity. Current obesity reports 4: 418-428. |
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