Hee-Gyoo Kang

Eulji University

South Korea

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Articles (16)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

This study offers novel insights into the potential effectiveness of metabolites in bloodstains as forensic markers and provides the basis for the application of metabolomic approaches in forensic science.

Year:

2023

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2023

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2023

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2023

Year:

2023

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2023

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2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (1)

Sung Hee Hyun

Eulji University

SOUTH KOREA

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Hee-Gyoo Kang

Research Interests

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Articles (16)

Serum Proteome-based Network Analysis for Understanding the Pathophysiology of Major Depressive Disorder

Biomarker for Diagnosis and Monitoring of Treatment Response in Major Depressive Disorder: Changes in Serum L‐Glutamine Levels

Molecular Characteristics of Spontaneous Remission in Major Depressive Disorder: Changes in Serum Acetylcarnitine and Glycerophosphcholine Levels

Common protein networks for various drug regimens of major depression are associated with complement and immunity

Discovery and validation of metabolite markers in bloodstains for bloodstain age estimation

Serum Protein Profiling Reveals a Decrease in Apolipoprotein A-IV During a Clinical Depressive Mood State

Potential Biomarkers to Distinguish Type 1 Myocardial Infarction in Troponin-Elevated Diseases

Effect of environmental conditions on bloodstain metabolite analysis

Internal standard metabolites for estimating origin blood volume of bloodstains

Discovery and validation of metabolite markers in bloodstains for bloodstain age estimation

Discovery and validation of a protein biomarker for the diagnosis and classification of disease severity of major depressive disorder

Validation of the Metabolite Ergothioneine as a Forensic Marker in Bloodstains

Bloodstain Metabolite Markers: Discovery and Validation for Estimating Age of Bloodstain within 7 Days

Discovery of donor age markers from bloodstain by LC-MS/MS using a metabolic approach

Individual Identification with Short Tandem Repeat Analysis and Collection of Secondary Information Using Microbiome Analysis

Serum biomarker panel for the diagnosis of rheumatoid arthritis

Collaborators (1)

Sung Hee Hyun

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