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Junhyung Park

Kyung Hee University · 生化学・遺伝学・分子生物学

研究室紹介

Professor Junhyung Park's research lab focuses on interdisciplinary biomedical and environmental sciences, integrating computational biology, toxicology, and data science to address critical health and ecological challenges. The lab investigates the biological impacts of environmental pollutants—particularly microplastics—on human diseases such as breast cancer, while also exploring the molecular mechanisms of pathogen-host interactions using cockroach transcriptomics. Additionally, the lab applies advanced statistical and machine learning models to public health and socioeconomic data, including crime pattern analysis and tax policy impacts on investment. These diverse research directions are united by a common goal: leveraging data-driven approaches to understand complex biological and societal systems.

microplasticsbreast cancercomputational toxicologyspatiotemporal modelingtranscriptomics

Research Overview

Papers
232
Total Citations
4,746
Papers (5y)
78
Primary Field
生化学・遺伝学・分子生物学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
78total
2021
2022
2023
2024
2025
Citations per year (5y)
838total
20212022202320242025

Selected Papers

15
1
Article|177 citations·2023
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
Mahati Munikoti Srikantamurthy, V.P. Subramanyam Rallabandi, Dawood B. Dudekula, Sathishkumar Natarajan, Junhyung Park
SJR Q2BMC Medical ImagingOA

BACKGROUND: Grading of cancer histopathology slides requires more pathologists and expert clinicians as well as it is time consuming to look manually into whole-slide images. Hence, an automated classification of histopathological breast cancer sub-type is useful for clinical diagnosis and therapeutic responses. Recent deep learning methods for medical image analysis suggest the utility of automated radiologic imaging classification for relating disease characteristics or diagnosis and patient s

Artificial IntelligenceComputer Science
2
Article|122 citations·2023
Polypropylene microplastics promote metastatic features in human breast cancer
Junhyung Park, Seungwoo Hong, Ok‐Hyeon Kim, Chulhong Kim, Jin-Ho Kim, Jung-Woong Kim, Sungguan Hong, Hyun Jung Lee, Jung-Woong Kim, Sungguan Hong, Sungguan Hong, Hyun Jung Lee
SJR Q1Scientific ReportsOA

Microplastics (MPs) are now a global issue due to increased plastic production and use. Recently, various studies have been performed in response to the human health risk assessment. However, these studies have focused on spherical MPs, which have smooth edges and a spherical shape and account for less than 1% of MPs in nature. Unfortunately, studies on fragment-type MPs are very limited and remain in the initial stages. In this study, we studied the effect that 16.4 µm fragment type polypropyle

PollutionEnvironmental Science
3
Article|66 citations·2016
De Novo Transcriptome Analysis and Detection of Antimicrobial Peptides of the American Cockroach Periplaneta americana (Linnaeus)
In-Woo Kim, Joon Ha Lee, Sathiyamoorthy Subramaniyam, Eun‐Young Yun, Iksoo Kim, Junhyung Park, Jae Sam Hwang
SJR Q1PLoS ONEOA

Cockroaches are surrogate hosts for microbes that cause many human diseases. In spite of their generally destructive nature, cockroaches have recently been found to harbor potentially beneficial and medically useful substances such as drugs and allergens. However, genomic information for the American cockroach (Periplaneta americana) is currently unavailable; therefore, transcriptome and gene expression profiling is needed as an important resource to better understand the fundamental biological

MicrobiologyImmunology and Microbiology
4
Review|56 citations·2021
Molecular Insights of Fruit Quality Traits in Peaches, Prunus persica
Karpagam Veerappan, Sathishkumar Natarajan, Hoyong Chung, Junhyung Park
SJR Q1PlantsOA

Fleshy fruits are the most demanded fruits because of their organoleptic qualities and nutritional values. The genus Prunus is a rich source of diversified stone/drupe fruits such as almonds, apricots, plums, sweet cherries, peaches, and nectarines. The fruit-ripening process in Prunus involves coordinated biochemical and physiological changes resulting in changes in fruit texture, aroma gain, color change in the pericarp, sugar/organic acid balance, fruit growth, and weight gain. There are diff

Plant ScienceAgricultural and Biological Sciences
5
Article|56 citations·2012
A Partial Race to the Bottom: Corporate Tax Developments in Emerging and Developing Economies
Junhyung Park, Sukhmani Bedi, Shahbaz Abbas, Alexander Klemm, JPark@imf.org, SBedi@imf.org, SAbbas@imf.org, AKlemm@imf.org
IMF Working PaperOA

This paper assembles a new dataset on corporate income tax regimes in 50 emerging and developing economies over 1996-2007 and analyzes their impact on corporate tax revenues and domestic and foreign investment. It computes effective tax rates to take account of complicated special regimes, such as partial tax holidays, temporarily reduced rates and increased investment allowances. There is evidence of a partial race to the bottom: countries have been under pressure to lower tax rates in order to

AccountingBusiness, Management and Accounting
6
Article|46 citations·2014
Antimicrobial peptides in the centipede Scolopendra subspinipes mutilans
Won Gi Yoo, Joon Ha Lee, Younhee Shin, Jae-Young Shim, Myunghee Jung, Byeong-Chul Kang, Jae-Don Oh, Jiyeon Seong, Hak‐Kyo Lee, Hong Kong, Ki‐Duk Song, Eun‐Young Yun
SJR Q2Functional & Integrative Genomics
MicrobiologyImmunology and Microbiology
7
Article|43 citations·2021
Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial–Temporal Point Processes With Covariates
Junhyung Park, Frederic Paik Schoenberg, Andrea L. Bertozzi, P. Jeffrey Brantingham
SJR Q1Journal of the American Statistical Association

Reported gang-related violent crimes in Los Angeles, California, from 1/1/14 to 12/31/17 are modeled using spatial–temporal marked Hawkes point processes with covariates. We propose an algorithm to estimate the spatial-temporally varying background rate nonparametrically as a function of demographic covariates. Kernel smoothing and generalized additive models are used in an attempt to model the background rate as closely as possible in an effort to differentiate inhomogeneity in the background r

Sociology and Political ScienceSocial Sciences
8
Article|40 citations·2007
Structural Characterization of Rice Starch in Rice Cake Modified by Thermus scotoductus 4‐α‐Glucanotransferase (TSαGTase)
Nam-Seok Seo, Sun-Ah Roh, Joong‐Hyuck Auh, Junhyung Park, Y.‐R. Kim, Kyu‐Ho Park
SJR Q1Journal of Food Science

Rice cake was produced with a thermostable 4-alpha-glucanotransferase from Thermus scotoductus (TS alpha GTase). Starch molecular fine structure, texture, and retrogradation for the enzymatically prepared rice cake were investigated and compared to those for control rice cake. The amylose content in TS alpha GTase-treated rice cakes decreased, whereas branched and linear malto-oligosaccharides ranging from maltose to maltoheptaose increased slightly. The average molecular weight of the enzyme-tr

BiotechnologyBiochemistry, Genetics and Molecular Biology
9
Article|34 citations·2016
Transcriptome Analysis Revealed Changes of Multiple Genes Involved in Haliotis discus hannai Innate Immunity during Vibrio parahemolyticus Infection
Bo‐Hye Nam, Myunghee Jung, Sathiyamoorthy Subramaniyam, Seung‐il Yoo, Kesavan Markkandan, Ji‐Yong Moon, Young‐Ok Kim, Dong‐Gyun Kim, Cheul Min An, Younhee Shin, Hojin Jung, Junhyung Park
SJR Q1PLoS ONEOA

Abalone (Haliotis discus hannai) is one of the most valuable marine aquatic species in Korea, Japan and China. Tremendous exposure to bacterial infection is common in aquaculture environment, especially by Vibrio sp. infections. It's therefore necessary and urgent to understand the mechanism of H. discus hannai host defense against Vibrio parahemolyticus infection. However studies on its immune system are hindered by the lack of genomic resources. In the present study, we sequenced the transcrip

ImmunologyImmunology and Microbiology
10
Article|28 citations·2018
Transcriptome analysis of olive flounder (Paralichthys olivaceus) head kidney infected with moderate and high virulent strains of infectious viral hemorrhagic septicaemia virus (VHSV)
Jee Youn Hwang, Kesavan Markkandan, Mun Gyeong Kwon, Jung Soo Seo, Seung‐il Yoo, Seong Don Hwang, Maeng-Hyun Son, Junhyung Park
SJR Q1Fish & Shellfish Immunology
ImmunologyImmunology and Microbiology
11
Article|27 citations·2018
One-dimensional modeling of a turbulent fluidized bed for a sorbent-based CO2 capture process with solid–solid sensible heat exchange
Junhyung Park, Wangyun Won, Wonho Jung, Kwang Soon Lee
SJR Q1Energy
Mechanical EngineeringEngineering
12
Article|23 citations·2020
Compositional and Functional Characteristics of Swine Slurry Microbes through 16S rRNA Metagenomic Sequencing Approach
Himansu Kumar, Yu Na Jang, Kwangmin Kim, Junhyung Park, Junhyung Park, Min‐Woong Jung, Jong‐Eun Park, Jong‐Eun Park
SJR Q1AnimalsOA

Traditionally slurry is used as source of nitrogen, phosphorous, and potassium in bio fertilizers to improve crop production. However, poorly managed slurry causes a hazardous effect to the environment by producing greenhouse gases, causing the eutrophication of water bodies, and polluting the groundwater. It has been largely reported that the microbial presence in slurry causing a diverse effect on its storage and disposal system. However, the diversity of bacterial populations in pig slurries

Molecular BiologyBiochemistry, Genetics and Molecular Biology
13
Article|22 citations·2020
A non-parametric Hawkes model of the spread of Ebola in west Africa
Junhyung Park, Adam W. Chaffee, Ryan J. Harrigan, Frederic Paik Schoenberg
SJR Q2Journal of Applied StatisticsOA

Recently developed methods for the non-parametric estimation of Hawkes point process models facilitate their application for describing and forecasting the spread of epidemic diseases. We use data from the 2014 Ebola outbreak in West Africa to evaluate how well a simple Hawkes point process model can forecast the spread of Ebola virus in Guinea, Sierra Leone, and Liberia. For comparison, SEIR models that fit previously to the same data are evaluated using identical metrics. To test the predictiv

Infectious DiseasesMedicine
14
Article|15 citations·2017
A two-dimensional model for the spiral wound reverse osmosis membrane module
Junhyung Park, Kwang Soon Lee
SJR Q1Desalination
Water Science and TechnologyEnvironmental Science
15
Article|14 citations·2020
Transcriptome Analysis of Psacothea hilaris: De Novo Assembly and Antimicrobial Peptide Prediction
Joon Ha Lee, Hoyong Chung, Yong Pyo Shin, In-Woo Kim, Sathishkumar Natarajan, Karpagam Veerappan, Minchul Seo, Junhyung Park, Jae Sam Hwang
SJR Q1InsectsOA

Antimicrobial peptides (AMPs) are the frontline innate defense system evolutionarily preserved in insects to combat invading pathogens. These AMPs could serve as an alternative to classical antibiotics to overcome the burden of treating multidrug resistant bacteria. Psacotheasin, a knottin type AMP was isolated from Psacothea hilaris and shown to exhibit antimicrobial activity, especially against fungi through apoptosis mediated cell death. In this study, we aimed to identify novel probable AMPs

MicrobiologyImmunology and Microbiology

Research Areas

Molecular BiologyPlant ScienceMicrobiologyGeneticsCell BiologyMechanical Engineering

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