Min-Sik Kim

Professor

Daegu Gyeongbuk Institute of Science and Technology

South Korea

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About

Professor Min-Sik Kim is currently affiliated with the Daegu Gyeongbuk Institute of Science and Technology, South Korea. His research focuses on areas such as single-cell metabolomics, mass spectrometry, and the analysis of biomarkers for lung diseases. Recent publications include work on voltammetric sensors for environmental pollutants and advanced proteomic analysis methods for cancer diagnostics.

Articles (16)

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2025

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2024

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2024

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2023

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2023

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2021

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2020

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Assistant Professor

Mercer University

UNITED STATES

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Min-Sik Kim

Research Interests

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Contact this professor

About

Articles (16)

Synergistic NH2-MIL-101(Fe)/thermally reduced graphene oxide composite integrated voltammetric sensor for carcinogenic chrysene in particulate matter

On the Ocean of Biomarkers for the Precise Diagnosis and Prognosis of Lung Diseases

Recent advances in single-cell metabolomics using mass spectrometry: emerging challenges and future perspectives

Parallel accumulation-serial fragmentation method for in-depth proteomic analysis of bronchoalveolar lavage fluid collected from patients with nonsmall cell lung cancer.

A comparative study of ammonia solubility in imidazolium-based ionic liquids with different structural compositions

High-Throughput Quantitative Analysis of Amino Acids in Freeze-Dried Drops Using Time-of-Flight Secondary Ion Mass Spectrometry

High-Throughput Quantitative Analysis of Amino Acids in Freeze-Dried Drops Using Time-of-Flight Secondary Ion Mass Spectrometry

Parallel accumulation-serial fragmentation method for in-depth proteomic analysis of bronchoalveolar lavage fluid collected from patients with nonsmall cell lung cancer

Quantitative proteomic analysis of bronchoalveolar lavage fluids from patients with small cell lung cancers

Advances in Mass Spectrometry-Based Single Cell Analysis

<i>Cntnap2</i>-dependent molecular networks in autism spectrum disorder revealed through an integrative multi-omics analysis

Advances in Mass Spectrometry-Based Single Cell Analysis

Plasmodium sporozoite phospholipid scramblase interacts with mammalian carbamoyl-phosphate synthetase 1 to infect hepatocytes

A User‐Friendly Visualization Tool for Multi‐Omics Data

Statistical Modeling for Enhancing the Discovery Power of Citrullination from Tandem Mass Spectrometry Data

Mass spectrometry-based proteomics of single cells and organoids: The new generation of cancer research

Collaborators (5)

Chelladurai Karuppiah

Joon-Yong An

Seung Hyeun Lee

Hugh I. Kim

Sung-Jae Cha

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