Articles published in Journal of Data Mining in Genomics & Proteomics have been cited by esteemed scholars and scientists all around the world. Journal of Data Mining in Genomics & Proteomics has got h-index 16, which means every article in Journal of Data Mining in Genomics & Proteomics has got 16 average citations.

Following are the list of articles that have cited the articles published in Journal of Data Mining in Genomics & Proteomics.

  2022 2021 2020 2019 2018

Year wise published articles

30 30 23 2 4

Year wise citations received

95 110 132 99 114
Journal total citations count 1039
Journal Impact Factor 2.41
Journal 5 years Impact Factor 3.5
Journal CiteScore 7.71
Journal h-index 16
Important citations

Genome-wide association study identifies novel recessive genetic variants for high TGs in an Arab population

Hypertriglyceridemia: the future of genetics to guide individualized therapeutic strategies.

Interaction between Erythrocyte Phospholipid Fatty Acids Composition and Variants of Inflammation-Related Genes on Type 2 Diabetes.

) How gene networks can uncover novel CVD players.

Grimaldi KA (2014) Nutrigenetics and personalized nutrition: are we ready for DNA-based dietary advice?. Personalized Medicine 11: 297-307.

Genome-wide interaction of genotype by erythrocyte n-3 fatty acids contributes to phenotypic variance of diabetes-related traits

Acquired Liver Fat Is A Key Determinant of Serum Lipid Alterations in Healthy Monozygotic Twins

Dietary modulators of statin efficacy in cardiovascular disease and cognition.

Morine MJ, Monteiro JP, Wise C, Teitel C, Pence L,et al. (2014) Genetic associations with micronutrient levels identified in immune and gastrointestinal networks. Genes Nutr 9: 408.

Additive influence of genetic predisposition and conventional risk factors in the incidence of coronary heart disease: a population-based study in Greece.

Heritability and genetic etiology of habitual physical activity: a twin study with objective measures.

Genetic variants at PSMD3 interact with dietary fat and carbohydrate to modulate insulin resistance.

Association between PON1 rs662 polymorphism and coronary artery disease.

Gender-specific associations between lipids and cognitive decline in the elderly.

Hurlimann T, Menuz V, Graham J, Robitaille J, Vohl MC,et al. (2014) Risks of nutrigenomics and nutrigenetics? What the scientists say. Genes Nutr 9: 1-2.

Physical activity and sex modulate obesity risk linked to 3111T/C gene variant of the CLOCK gene in an elderly population: the SUN Project.

Parnell LD, Blokker BA, Dashti HS, Nesbeth PD, Cooper BE,et al. (2014) CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits. BioData mining 7: 21.

Nutrigenetics and Nutrigenomics Insights into Diabetes Etiopathogenesis

Lamina C, Forer L, Schönherr S, Kollerits B, Ried JS,et al. (2012) Evaluation of gene–obesity interaction effects on cholesterol levels: A genetic predisposition score on HDL-cholesterol is modified by obesity. Atherosclerosis 225: 363-369.

Lind L, ElmstÃ?Â¥hl S, Bergman E, Englund M, Lindberg E,et al. (2013) EpiHealth: a large population-based cohort study for investigation of geneââ?¬â??lifestyle interactions in the pathogenesis of common diseases. Eur J Epidemiol 28: 189-197.