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Profil bibliographique

Yong-Jin Kim

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

48Publications signalées
616Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Amyloidosis: Diagnosis, Treatment, OutcomesPlanarian Biology and ElectrostimulationEndoplasmic Reticulum Stress and DiseaseCancer-related molecular mechanisms researchBone health and treatments

Les publications récentes

Accès ouvert 2025 article OpenAlex

TNF-α-NF-κB activation through pathological α-Synuclein disrupts the BBB and exacerbates axonopathy

Min‐Tae Jeon, Sinnead Anne Cogill, Kyu‐Sung Kim, Yong-Jin Kim et autres

Dysfunction of the blood-brain barrier (BBB) is recognized as a key factor in the progression of neurodegenerative diseases (NDs), but the detailed mechanisms behind its pathogenesis and impact on neurodegeneration remain elusive. This study aimed to reveal the pathological effects of α-Synuclein …

kr (code pays fourni par la source)

13 citations Cell Reports
Accès ouvert 2025 preprint OpenAlex

OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation

Yoonjin Oh, Yong-Jin Kim, Hyomin Kim, Donghwan Chi et autres

Recent advances in Multimodal Large Language Models (MLLMs) have enabled unified multimodal understanding and generation. However, they still struggle with fine-grained text-image alignment, often failing to faithfully depict objects with correct attributes such as color, shape, and spatial relations. To mitigate this …

0 citations arXiv (Cornell University)
Accès ouvert 2025 preprint OpenAlex

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM

Donghwan Chi, Hyomin Kim, Yoonjin Oh, Yong-Jin Kim et autres

Recently, multimodal large language models (MLLMs) have emerged as a key approach in achieving artificial general intelligence. In particular, vision-language MLLMs have been developed to generate not only text but also visual outputs from multimodal inputs. This advancement requires efficient image tokens …

0 citations arXiv (Cornell University)
Accès ouvert 2024 article OpenAlex

Transcriptomic analysis of cellular senescence induced by ectopic expression of ATF6α in human breast cancer cells

Ju Won Kim, Sohyun Bae, Yesol Moon, Yong-Jin Kim et autres

BACKGROUND: The transcriptomic profile of cellular senescence is strongly associated with distinct cell types, the specific stressors triggering senescence, and temporal progression through senescence stages. This implies the potential necessity of conducting separate investigations for each cell type and a stressor inducing …

kr (code pays fourni par la source)

1 citation PLoS ONE
Accès ouvert 2024 article OpenAlex

Transcriptome-based deep learning analysis identifies drug candidates targeting protein synthesis and autophagy for the treatment of muscle wasting disorder

Min Hak Lee, Bada Lee, Se Eun Park, Ga Eul Yang et autres

Sarcopenia, the progressive decline in skeletal muscle mass and function, is observed in various conditions, including cancer and aging. The complex molecular biology of sarcopenia has posed challenges for the development of FDA-approved medications, which have mainly focused on dietary supplementation. Targeting …

kr, us (code pays fourni par la source)

5 citations Experimental & Molecular Medicine
2023 article OpenAlex

The Study of intake graviola and swimming exercises on apoptosis factors inducing inhibition of Adipogenesis differentiation in High-fat diet Rats

Yong-Jin Kim, Tae-Dong Kwon

The purpose of this study is to observe the effect of Graviola leaves extract Ingestion and swimming exercise on AKT and Bax/Bcl-2, Caspase-3 expression. To achieve this purpose, 32 male rats were selected to Graviola leaves extract ingestion and let swimming exercise …

0 citations Korean Journal of Sports Science
Accès ouvert 2023 article OpenAlex

Cancer signature ensemble integrating cfDNA methylation, copy number, and fragmentation facilitates multi-cancer early detection

Su Yeon Kim, Seongmun Jeong, Wookjae Lee, Yujin Jeon et autres

Cell-free DNA (cfDNA) sequencing has demonstrated great potential for early cancer detection. However, most large-scale studies have focused only on either targeted methylation sites or whole-genome sequencing, limiting comprehensive analysis that integrates both epigenetic and genetic signatures. In this study, we present …

kr, us, pr (code pays fourni par la source)

44 citations Experimental & Molecular Medicine
2023 conference-abstract OpenAlex

Cancer signature ensemble integrating cfDNA methylation, copy number, and fragmentomic patterns for multi-cancer early detection.

Su Yeon Kim, Seongmun Jeong, Wookjae Lee, Yujin Jeon et autres

e15040 Background: The use of cfDNA sequencing has demonstrated great potential for cancer screening; particularly, methylation signatures, copy number variations, and fragmentomic profiles have proven to be effective for identifying early cancer signals. However, most large-scale studies have only focused on either …

kr, us (code pays fourni par la source)

0 citations Journal of Clinical Oncology
Accès ouvert 2023 article OpenAlex

Prevalence and Characterization of CRISPR Locus 2.1 Spacers in Escherichia coli Isolates Obtained from Feces of Animals and Humans

Hanseob Shin, Yong-Jin Kim, Tatsuya Unno, Hor‐Gil Hur

family. This is thought to reflect the microbiome and phageome of the gut environment of the sources. Hence, spacers may help track the encounter of bacterial cells with bacterial cells, viruses, or other genetic materials. Interestingly, source-specific spacers are also observed. The …

kr (code pays fourni par la source)

2 citations Microbiology Spectrum
Accès ouvert 2023 article OpenAlex

Investigation of early molecular alterations in tauopathy with generative adversarial networks

Hye‐Rin Kim, Yong-Jin Kim, Chung-Yeol Lee, Do-Geun Kim et autres

The recent advances in deep learning-based approaches hold great promise for unravelling biological mechanisms, discovering biomarkers, and predicting gene function. Here, we deployed a deep generative model for simulating the molecular progression of tauopathy and dissecting its early features. We applied generative …

kr (code pays fourni par la source)

10 citations Scientific Reports

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