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《Nutrition & Metabolism》杂志封面
  • 所属分类:首页 > SCI期刊 > 医学
  • 期刊名: Nutrition & Metabolism
  • 期刊名缩写:
  • 期刊ISSN:N/A
  • E-ISSN:1743-7075
  • 2025年影响因子/JCR分区:4.1/Q2 查看近年IF趋势图
  • 5年平均影响因子:4.6
  • 学科分类与版本:NUTRITION & DIETETICS - SCIE
  • 出版周期:
  • 出版年份:
  • 出版国家或地区:
  • 出版商:BMC
  • 年文章数:查看近年文章发表趋势图
  • 论著文章占比:88.24% [论著 ÷(论著 + 综述)]
  • 是否OA开放访问:
  • Gold OA文章占比:99.30%
  • 官方网站:
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  • 编辑部地址:

《Nutrition & Metabolism》中科院JCR分区

  • 2025年3月升级版:
  • 大类小类学科Top综述期刊
    医学 2区
    NUTRITION & DIETETICS
    营养学
    3区

  • 2023年12月升级版:
  • 大类小类学科Top综述期刊
    医学 2区
    NUTRITION & DIETETICS
    营养学
    2区

    《Nutrition & Metabolism》期刊简介:

    Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.

    The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.

    Key areas we wish to encourage submissions from include:

    -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
    -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
    -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
    -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.

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