The Predictive Value of Melatonin Levels for the Development of Diabetic Nephropathy in Men with Type 2 Diabetes Mellitus

Serum melatonin levels exhibited a notable reduction. among individuals who were diabetic with DN, suggesting its potential utility as an additional predictive marker for developing DN in patients with T2DM.

Authors

Institutions

Publication Details

Journal
Reports of Biochemistry and Molecular Biology
Published
2024-11-01
DOI
https://doi.org/10.61186/rbmb.13.3.341
Citations
3
Primary Topic
Circadian rhythm and melatonin
Type
article
Field-Weighted Citation Impact
0.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Predictive Value of Melatonin Levels for the Development of Diabetic Nephropathy in Men with Type 2 Diabetes Mellitus

Refaa B Al-temimi, Lara Ali Nazar, Hiba Ali Hasan, Fatemeh Mortazavi Moghadam et al.
3 citations
Reports of Biochemistry and Molecular Biology
Circadian rhythm and melatonin
0.82
article

The Predictive Value of Melatonin Levels for the Development of Diabetic Nephropathy in Men with Type 2 Diabetes Mellitus

Refaa B Al-temimi, Lara Ali Nazar, Hiba Ali Hasan, Fatemeh Mortazavi Moghadam, Nurhadi Ibrahim, Mastafa H. Al‐Musawi
article en
3 citations

Abstract

Serum melatonin levels exhibited a notable reduction. among individuals who were diabetic with DN, suggesting its potential utility as an additional predictive marker for developing DN in patients with T2DM.

Reports of Biochemistry and Molecular BiologyVol. 13(3)
Mustansiriyah University (IQ), Middle Technical University (IQ), Shahid Beheshti University (IR)
Openalex Percentile: Top 28%
Circadian rhythm and melatonin
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.