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Jung-Hoon Kim

Kyung Hee University · 医学

研究室紹介

Professor Jung-Hoon Kim's research lab specializes in virology and infectious disease mechanisms, with a focus on understanding the molecular and cellular pathways of viral infections such as SARS-CoV-2 and avian influenza H7N9. The lab investigates viral entry mechanisms, host-virus interactions, and host factor dependencies—particularly involving proteins like ANO6 and ACE2/TMPRSS2—while also developing targeted antiviral strategies. Additionally, the lab applies computational and bioinformatics approaches to analyze viral genomics, translatomes, and human behavioral responses through digital data like online news comments, linking virology with public health informatics. Their work bridges basic virology with translational applications, including vaccine design and real-time disease modeling for pandemic preparedness.

viral entrySARS-CoV-2host factorsantiviral developmentinfluenza vaccine

Research Overview

Papers
66
Total Citations
622
Papers (5y)
27
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
27total
2022
2023
2024
2025
2026
Citations per year (5y)
181total
20222023202420252026

Selected Papers

15
1
Article|106 citations·2019
Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease
Jun Pyo Kim, Jeonghun Kim, Yu Hyun Park, Seong Beom Park, Jin San Lee, Sole Yoo, Eun‐Joo Kim, Hee Jin Kim, Duk L. Na, Jesse A. Brown, Samuel N. Lockhart, Sang Won Seo
SJR Q1NeuroImage ClinicalOA

In the present study, our automated classifier successfully classified FTD clinical subtypes with good to excellent accuracy. Our classifier may help clinicians diagnose FTD subtypes with subtle cortical atrophy and facilitate appropriate specific interventions.

Psychiatry and Mental healthMedicine
2
Article|99 citations·2017
The Influence of Politeness Behavior on User Compliance with Social Robots in a Healthcare Service Setting
Namyeon Lee, Jeonghun Kim, Eunji Kim, Ohbyung Kwon
SJR Q1International Journal of Social Robotics
Artificial IntelligenceComputer Science
3
Article|97 citations·2021
A high-resolution temporal atlas of the SARS-CoV-2 translatome and transcriptome
Doyeon Kim, Sukjun Kim, Joori Park, Hee Ryung Chang, Jeeyoon Chang, Junhak Ahn, Heedo Park, June‐Hee Park, Narae Son, Gihyeon Kang, Jeonghun Kim, Kisoon Kim
SJR Q1Nature CommunicationsOA

COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which infected >200 million people resulting in >4 million deaths. However, temporal landscape of the SARS-CoV-2 translatome and its impact on the human genome remain unexplored. Here, we report a high-resolution atlas of the translatome and transcriptome of SARS-CoV-2 for various time points after infecting human cells. Intriguingly, substantial amount of SARS-CoV-2 translation initiates at a novel translation i

ImmunologyImmunology and Microbiology
4
Article|36 citations·2022
Amelioration of SARS-CoV-2 infection by ANO6 phospholipid scramblase inhibition
Ju‐Ri Sim, Dong Hoon Shin, Pil‐Gu Park, Sohyeon Park, Joon‐Yong Bae, Youngchae Lee, Dha-Yei Kang, Ye Jin Kim, Sowon Aum, Shin Hye Noh, Su Jin Hwang, Hye‐Ran Cha
SJR Q1Cell ReportsOA

elevation and ANO6-dependent phosphatidylserine externalization in ACE2/TMPRSS2-positive mammalian cells. A high-throughput screening of drug-like chemical libraries identifies three different structural classes of chemicals showing ANO6 inhibitory effects. Among them, A6-001 displays the highest potency and ANO6 selectivity and it inhibits the single-round infection of SARS2-PsV in ACE2/TMPRSS2-positive HEK 293T cells. More importantly, A6-001 strongly inhibits authentic SARS-CoV-2-induced phos

Infectious DiseasesMedicine
5
Article|14 citations·2020
Glycosylation generates an efficacious and immunogenic vaccine against H7N9 influenza virus
Jin Il Kim, Sehee Park, Joon‐Yong Bae, Sun‐Mi Lee, Jeonghun Kim, Gayeong Kim, Kirim Yoo, Jun Heo, Yong Seok Kim, Jae Soo Shin, Mee Sook Park, Man‐Seong Park
SJR Q1PLoS BiologyOA

Zoonotic avian influenza viruses pose severe health threats to humans. Of several viral subtypes reported, the low pathogenic avian influenza H7N9 virus has since February 2013 caused more than 1,500 cases of human infection with an almost 40% case-fatality rate. Vaccination of poultry appears to reduce human infections. However, the emergence of highly pathogenic strains has increased concerns about H7N9 pandemics. To develop an efficacious H7N9 human vaccine, we designed vaccine viruses by cha

EpidemiologyMedicine
6
Article|10 citations·2022
Clinical scoring system to predict viable viral shedding in patients with COVID-19
Sung‐Woon Kang, Heedo Park, Ji Yeun Kim, Sung Hee Park, So Yun Lim, SoHyun Lee, Joon‐Yong Bae, Jeonghun Kim, Seongman Bae, Jiwon Jung, Min Jae Kim, Yong Chong
SJR Q1Journal of Clinical VirologyOA
Infectious DiseasesMedicine
7
Article|9 citations·2015
텍스트마이닝을 통한 댓글의 공감도 및 비공감도에 영향을 미치는 댓글의 특성 연구
김정훈, 송영은, 진윤선, 권오병
한국IT서비스학회지

As a public medium and one of the big data sources that is accumulated informally and real time, online news comments or replies are considered a significant resource to understand mentalities of article readers. The comments are also being regarded as an important medium of WOM (Word of Mouse) about products, services or the enterprises. If the diffusing effect of the comments is referred to as the degrees of agreement and disagreement from an angle of WOM, figuring out which characteristics of

8
Article|6 citations·2021
A Model for Rapid Selection and COVID-19 Prediction with Dynamic and Imbalanced Data
Jeonghun Kim, Ohbyung Kwon
SJR Q1SustainabilityOA

The COVID-19 pandemic is threatening our quality of life and economic sustainability. The rapid spread of COVID-19 around the world requires each country or region to establish appropriate anti-proliferation policies in a timely manner. It is important, in making COVID-19-related health policy decisions, to predict the number of confirmed COVID-19 patients as accurately and quickly as possible. Predictions are already being made using several traditional models such as the susceptible, infected,

Artificial IntelligenceComputer Science
9
Article|5 citations·2021
Camouflaged Adversarial Attack on Object Detector
Jeonghun Kim, Kyungmin Lee, Hyeongkeun Lee, Hunmin Yang, Se-Yoon Oh
2021 21st International Conference on Control, Automation and Systems (ICCAS)

The existence of physical-world adversarial examples such as adversarial patches proves the vulnerability of real-world deep learning systems. Therefore, it is essential to develop efficient adversarial attack algorithms to identify potential risks and build a robust system. The patch-based physical adversarial attack has shown its effectiveness in attacking neural network-based object detectors. However, the generated patches are quite perceptible for humans, violating the fundamental assumptio

Artificial IntelligenceComputer Science
10
Article|3 citations·2008
전립선암 근접시료시 주변 장기 선량 평가
김정훈, 임창선, 황주호

정량적인 방사선치료 선량을 예측하기위한 일환으로 한국표준남성에 기초하여 수학적 모의피폭체를 제작하였다. 이후 전립선을 선원장기로 하여 전립선암 근접치료 시 발생할 것으로 예상되는 전립선 및 주변장기의 흡수선량을 산정하였 다. 모의모사를 위하여 방사성핵종은 전립선 근접치료에 유용하게 사용되는 25I 및 103Pd선정하였고, 초기 방사능을 1 Ci 를 투여하는 것으로 가정하였다. 그 결과 선원장기인 전립선이 125I 및 103Pd 경우 각각 101 Gy/Ci와 7.24 Gy/Ci를 나타냈 으며, 전립선을 제외하고 흡수선량이 높은 장기는 비교적 전립선과 인접되어 있는 장기 즉 음경과 음낭, S자결장, 정소, 방광순으로 나타났다.

11
Article|2 citations·2008
A Low Power SOC Architecture for The V2.0+EDR Bluetooth
Jeonghun Kim, Kyongtae Moon, Jungwon Jeong, Yun Jeong Kim, Suki Kim

This paper presents a low power SOC architecture for the v2.0+EDR (enhanced data rate) Bluetooth SOC and its applications. Our design includes a link controller, modem, RF transceiver, sub-band codec (SBC), Expended Instruction Set Computer (ESIC) processor and peripherals. According to increasing mobile applications, power consumption is more important features. To reduce power consumption, we use a reduction of data transfer using dual-port memory, clock management unit and a clock gated appro

Computer Networks and CommunicationsComputer Science
12
Article|0 citations·2007
천연계면활성제를 이용한 친환경적 포소화약제 개발
Jeonghun Kim, Lee Jung Yun, Kim Hong, Eung-Sik Kim, Lee Myung Bo, Donghyun Kim, Jung Ki Chang
Aerospace EngineeringEngineering
13
Article|0 citations·2016
A Method of Predicting Service Time Based on Voice of Customer Data
Jeonghun Kim, Ohbyung Kwon
Journal of the Korea society of IT servicesOA

With the advent of text analytics, VOC (Voice of Customer) data become an important resource which provides the managers and marketing practitioners with consumer's veiled opinion and requirements. In other words, making relevant use of VOC data potentially improves the customer responsiveness and satisfaction, each of which eventually improves business performance. However, unstructured data set such as customers' complaints in VOC data have seldom used in marketing practices such as predicting

MarketingBusiness, Management and Accounting
14
dissertation|0 citations·2022
Three essays on racial discrimination
Jeonghun Kim
OA

The first chapter shows that small business owners in credit markets, in particular minority owners, have difficulty in securing sources of capital for their business operation in spite of their economic importance. The literature on credit market discrimination shows consistent results that can be interpreted as evidence that minority owners are discriminated against compared to their counterparts (i.e., white owners) in obtaining loans, which may be caused by lenders' discrimination, although

Sociology and Political ScienceSocial Sciences
15
Article|0 citations·2013
Valuable parameters to evaluate progression free survival on pretreatment F-18 FDG PET/CT in gastric cancer
Jeonghun Kim, Seok Tae Lim, Yeon‐Hee Han, Chang Ju Na, Hwan Jeong Jeong, Myung‐Hee Sohn

545 Objectives We performed this study to evaluate predictive value of pretreatment F-18 FDG PET/CT for progression free survival (PFS) in patients with gastric cancer. Methods We enrolled retrospectively 97 patients (M:F=61:36, age: 59.8±13.2 yrs) with a diagnosis of gastric cancer, who underwent pretreatment FDG PET/CT from January 2009 to December 2009. SUVmax was measured from each case with detectable primary lesion. In remaining non-detectable cases, SUVmax measured from corresponding site

Pulmonary and Respiratory MedicineMedicine

Research Areas

Infectious DiseasesPsychiatry and Mental healthArtificial IntelligenceRadiology, Nuclear Medicine and ImagingAerospace EngineeringNeurology

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