Young Cheul Chung

1.3k total citations
20 papers, 911 citations indexed

About

Young Cheul Chung is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Young Cheul Chung has authored 20 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Young Cheul Chung's work include Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Neuroscience and Neuropharmacology Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Young Cheul Chung is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Neuroscience and Neuropharmacology Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Young Cheul Chung collaborates with scholars based in South Korea, United States and France. Young Cheul Chung's co-authors include Byung Kwan Jin, Eugene Bok, Sang Ryong Kim, So-Yoon Won, Hyung Hwan Baik, Won-Ho Shin, Eun Su Park, ‪Eun‐Sung Chung, Ki‐Suk Kim and Jae Yeong Jeong and has published in prestigious journals such as The Journal of Immunology, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Young Cheul Chung

20 papers receiving 902 citations

Peers

Young Cheul Chung
Young Cheul Chung
Citations per year, relative to Young Cheul Chung Young Cheul Chung (= 1×) peers Francisco Ros‐Bernal

Countries citing papers authored by Young Cheul Chung

Since Specialization
Citations

This map shows the geographic impact of Young Cheul Chung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Young Cheul Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Cheul Chung more than expected).

Fields of papers citing papers by Young Cheul Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Cheul Chung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Young Cheul Chung. The network helps show where Young Cheul Chung may publish in the future.

Co-authorship network of co-authors of Young Cheul Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Young Cheul Chung. A scholar is included among the top collaborators of Young Cheul Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Young Cheul Chung. Young Cheul Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Byoung Dae, So-Yoon Won, Young Cheul Chung, et al.. (2024). Neuroprotective effect of L-DOPA-induced interleukin-13 on striatonigral degeneration in cerebral ischemia. Cell Death and Disease. 15(11). 854–854. 2 indexed citations
2.
Jeong, Gi Uk, Jaemyun Lyu, Kyun‐Do Kim, et al.. (2022). SARS-CoV-2 Infection of Microglia Elicits Proinflammatory Activation and Apoptotic Cell Death. Microbiology Spectrum. 10(3). e0109122–e0109122. 90 indexed citations
3.
Chung, Young Cheul, et al.. (2022). Interleukin 13 on Microglia is Neurotoxic in Lipopolysaccharide-injected Striatumin vivo. Experimental Neurobiology. 31(1). 42–53. 6 indexed citations
4.
Jeong, Jae Yeong, et al.. (2021). Interleukin-13 Propagates Prothrombin Kringle-2-Induced Neurotoxicity in Hippocampi In Vivo via Oxidative Stress. International Journal of Molecular Sciences. 22(7). 3486–3486. 8 indexed citations
5.
Kim, Sodam, et al.. (2021). Dynamics of T Lymphocyte between the Periphery and the Brain from the Acute to the Chronic Phase Following Ischemic Stroke in Mice. Experimental Neurobiology. 30(2). 155–169. 25 indexed citations
6.
Chung, Young Cheul, Jae Yeong Jeong, & Byung Kwan Jin. (2020). Interleukin-4-Mediated Oxidative Stress Is Harmful to Hippocampal Neurons of Prothrombin Kringle-2-Lesioned Rat In Vivo. Antioxidants. 9(11). 1068–1068. 8 indexed citations
7.
Jeong, Jae Yeong, Young Cheul Chung, & Byung Kwan Jin. (2019). Interleukin-4 and Interleukin-13 Exacerbate Neurotoxicity of Prothrombin Kringle-2 in Cortex In Vivo via Oxidative Stress. International Journal of Molecular Sciences. 20(8). 1927–1927. 25 indexed citations
8.
Bok, Eugene, Young Cheul Chung, Ki‐Suk Kim, et al.. (2018). Modulation of M1/M2 polarization by capsaicin contributes to the survival of dopaminergic neurons in the lipopolysaccharide-lesioned substantia nigra in vivo. Experimental & Molecular Medicine. 50(7). 1–14. 96 indexed citations
9.
Baek, Jeong Yeob, Jae Yeong Jeong, So-Yoon Won, et al.. (2018). Inhibition of Microglia-Derived Oxidative Stress by Ciliary Neurotrophic Factor Protects Dopamine Neurons In Vivo from MPP+ Neurotoxicity. International Journal of Molecular Sciences. 19(11). 3543–3543. 36 indexed citations
10.
11.
Chung, Young Cheul, et al.. (2018). TLR3 contributes to degeneration of dopamine neurons in an MPTP mouse model of Parkinson’s disease. The Journal of Immunology. 200(Supplement_1). 166.55–166.55. 2 indexed citations
12.
Chung, Young Cheul, Jeong Yeob Baek, Sang Ryong Kim, et al.. (2017). Capsaicin prevents degeneration of dopamine neurons by inhibiting glial activation and oxidative stress in the MPTP model of Parkinson’s disease. Experimental & Molecular Medicine. 49(3). e298–e298. 89 indexed citations
13.
Chung, Young Cheul, Eugene Bok, Hankyu Lee, et al.. (2016). Injury-stimulated Sonic hedgehog expression in microglia contributes to neuroinflammatory response in the MPTP model of Parkinson's disease. Biochemical and Biophysical Research Communications. 482(4). 980–986. 12 indexed citations
14.
Papavasiliou, F. Nina, et al.. (2016). Epigenetic Modulators of Monocytic Function: Implication for Steady State and Disease in the CNS. Frontiers in Immunology. 6. 661–661. 5 indexed citations
15.
Chung, Young Cheul, Yoon-Seong Kim, Eugene Bok, et al.. (2013). MMP-3 Contributes to Nigrostriatal Dopaminergic Neuronal Loss, BBB Damage, and Neuroinflammation in an MPTP Mouse Model of Parkinson’s Disease. Mediators of Inflammation. 2013. 1–11. 78 indexed citations
16.
Chung, Young Cheul, Sang Ryong Kim, Ju Young Park, et al.. (2011). Fluoxetine prevents MPTP-induced loss of dopaminergic neurons by inhibiting microglial activation. Neuropharmacology. 60(6). 963–974. 111 indexed citations
17.
Chung, Young Cheul, Ying Piao, Min Jin, et al.. (2011). Ethyl Pyruvate Rescues Nigrostriatal Dopaminergic Neurons by Regulating Glial Activation in a Mouse Model of Parkinson’s Disease. The Journal of Immunology. 187(2). 960–969. 71 indexed citations
18.
Chung, Young Cheul, Sang Ryong Kim, & Byung Kwan Jin. (2010). Paroxetine Prevents Loss of Nigrostriatal Dopaminergic Neurons by Inhibiting Brain Inflammation and Oxidative Stress in an Experimental Model of Parkinson’s Disease. The Journal of Immunology. 185(2). 1230–1237. 127 indexed citations
19.
Chung, ‪Eun‐Sung, Young Cheul Chung, Eugene Bok, et al.. (2010). Fluoxetine prevents LPS-induced degeneration of nigral dopaminergic neurons by inhibiting microglia-mediated oxidative stress. Brain Research. 1363. 143–150. 72 indexed citations
20.
Kim, Sang Ryong, Eun Sook Chung, Eugene Bok, et al.. (2009). Prothrombin kringle‐2 induces death of mesencephalic dopaminergic neurons in vivo and in vitro via microglial activation. Journal of Neuroscience Research. 88(7). 1537–1548. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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