Application of nuclear magnetic resonance spectroscopy for the detection of metabolic disorders in patients with moderate kidney insufficiency

Adriana Mika , Wojciech Wojtowicz , Adam Ząbek , Piotr Młynarz , Michał Chmielewski , Tomasz Śledziński , Piotr Stepnowski

Abstract

n/a
Author Adriana Mika (FCh / DEA / LChER)
Adriana Mika,,
- Laboratory of Chemical Environmental Risks
, Wojciech Wojtowicz - [Wrocław University of Science and Technology]
Wojciech Wojtowicz,,
-
- Wrocław University of Science and Technology
, Adam Ząbek - [Wrocław University of Science and Technology]
Adam Ząbek,,
-
- Wrocław University of Science and Technology
, Piotr Młynarz - [Wrocław University of Science and Technology]
Piotr Młynarz,,
-
- Wrocław University of Science and Technology
, Michał Chmielewski - [Gdanski Uniwersytet Medyczny]
Michał Chmielewski,,
-
- Gdanski Uniwersytet Medyczny
, Tomasz Śledziński - [Gdanski Uniwersytet Medyczny]
Tomasz Śledziński,,
-
- Gdanski Uniwersytet Medyczny
, Piotr Stepnowski (FCh / DEA / LChER)
Piotr Stepnowski,,
- Laboratory of Chemical Environmental Risks
Journal seriesJournal of Pharmaceutical and Biomedical Analysis, ISSN 0731-7085, (A 35 pkt)
Issue year2018
Vol149
Pages1-8
Keywords in Englishchronic kidney disease, creatinine, discriminant models, metabolomics, nuclear magnetic resonance spectroscopy, serum
DOIDOI:10.1016/j.jpba.2017.10.037
URL https://doi.org/10.1016/j.jpba.2017.10.037
Languageen angielski
Score (nominal)35
ScoreMinisterial score = 35.0, 05-11-2018, ArticleFromJournal
Ministerial score (2013-2016) = 35.0, 05-11-2018, ArticleFromJournal
Publication indicators Scopus Citations = 1; WoS Impact Factor: 2016 = 3.255 (2) - 2016=2.953 (5)
Citation count*3 (2018-11-15)
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back