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Current Issue

July-September 2020| Vol 6| Issue 3

Editorial

Substantial weight loss can precipitate alarming illness

[INLINE:1] In early Pleistocene, a million years ago, the human ancestral tree finds a mention of a slender bipedal body with heavily built jaws matching his broad face and huge flat molars adapted...


Mini Review

Licorice plant extract: Does it hold a promise for coronavirus disease-2019

Coronavirus (CoV) disease 2019 (COVID-19) is defined as illness caused by a novel CoV first identified amid an outbreak of respiratory illness cases in Wuhan, China. Data provided by the World Healt...


Review Article

Implementation of nutrition care process in nephrology practice: A mini review

The American academy of nutrition introduced the nutrition care process (NCP) in 2003. The introduction of nutrition care process has resulted in achievement of higher quality of care due to reducti...


Review Article

Nutcracker syndrome at a Glance

The term of nutcracker phenomenon describes the entrapment of the left renal vein (LRV) between the superior mesenteric artery and the aorta without accompanying symptoms. The clinical term of nutcr...


Classroom Reading

Gut microbiota dysbiosis and chronic kidney disease

Chronic kidney disease (CKD) is an irreversible progressive health problem often associated with cardiovascular complication, bone mineral metabolism disorder, uremic toxin deposition, and immune dy...


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Journal of Renal Nutrition and Metabolism, a publication of Society of Renal Nutrition and Metabolism, is a peer-reviewed print + online Quarterly journal.

Features of Manuscript Management System

  • Online submission
  • Wider visibility through open access
  • Higher impact
  • Prompt review

Abstracting and Indexing Information

The journal is registered with the following abstracting partners:
Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris Primo Central, Google Scholar, Hinari, Infotrieve, Netherlands ISSN centre, ProQuest, TDNet, Wanfang Data