Sangjune Kim

3.9k total citations · 1 hit paper
37 papers, 1.6k citations indexed

About

Sangjune Kim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sangjune Kim has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 13 papers in Neurology. Recurrent topics in Sangjune Kim's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Genetic Neurodegenerative Diseases (8 papers) and Ubiquitin and proteasome pathways (7 papers). Sangjune Kim is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Genetic Neurodegenerative Diseases (8 papers) and Ubiquitin and proteasome pathways (7 papers). Sangjune Kim collaborates with scholars based in South Korea, United States and Singapore. Sangjune Kim's co-authors include Han Seok Ko, Seung‐Hwan Kwon, Saebom Lee, Valina L. Dawson, Ted M. Dawson, Senthilkumar S. Karuppagounder, Tae‐In Kam, Gabsang Lee, Hojae Lee and Richard W. Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Sangjune Kim

30 papers receiving 1.6k citations

Hit Papers

Transneuronal Propagation of Pathologic α-Synuclein from ... 2019 2026 2021 2023 2019 250 500 750

Peers

Sangjune Kim
Sara Bandrés‐Ciga United States
Rebecca L. Wallings United States
Valerie Joers United States
Changyoun Kim United States
Elvira Valera United States
Yinxia Chao Singapore
Mary K. Herrick United States
Bryan A. Killinger United States
Sara Bandrés‐Ciga United States
Sangjune Kim
Citations per year, relative to Sangjune Kim Sangjune Kim (= 1×) peers Sara Bandrés‐Ciga

Countries citing papers authored by Sangjune Kim

Since Specialization
Citations

This map shows the geographic impact of Sangjune Kim'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 Sangjune Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangjune Kim more than expected).

Fields of papers citing papers by Sangjune Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangjune Kim. 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 Sangjune Kim. The network helps show where Sangjune Kim may publish in the future.

Co-authorship network of co-authors of Sangjune Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sangjune Kim. A scholar is included among the top collaborators of Sangjune Kim 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 Sangjune Kim. Sangjune Kim 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.
Kim, Dong‐Kyu, Jong-Uk Park, Hyo Je Cho, et al.. (2025). CRL4 mediates autoubiquitination of DDB1 upon deneddylation inhibition. Biochemical and Biophysical Research Communications. 786. 152772–152772.
2.
Ko, K., Jin-Young Park, Wanil Kim, et al.. (2025). Computational modeling and histologic analysis of 6.78- and 2-MHz monopolar radiofrequency-induced thermal reactions. Lasers in Medical Science. 40(1). 501–501.
3.
Ryu, Hye Guk, Seung‐Hwan Kwon, Saebom Lee, et al.. (2024). Gba1 E326K renders motor and non-motor symptoms with pathological α-synuclein, tau and glial activation. Brain. 147(12). 4072–4083. 5 indexed citations
4.
Ryu, Hye Guk, Namgyu Lee, Hyojin Kim, et al.. (2024). SYNCRIP promotes cell cycle progression and lung tumorigenesis by modulating AURKB translation. Cancer Communications. 45(2). 138–142. 1 indexed citations
5.
Park, Jong-Uk, Sangjune Kim, Christophe E. Redon, et al.. (2024). RepID as a potential biomarker and therapeutic target for lung neuroendocrine tumor. Scientific Reports. 14(1). 27487–27487.
7.
Lee, Eunmin, et al.. (2024). Transcellular transmission and molecular heterogeneity of aggregation-prone proteins in neurodegenerative diseases. Molecules and Cells. 47(8). 100089–100089. 5 indexed citations
8.
Cho, Hyo Je, et al.. (2022). Differential dynamics of cullin deneddylation via COP9 signalosome subunit 5 interaction. Biochemical and Biophysical Research Communications. 637. 341–347. 1 indexed citations
9.
Kim, Sangjune, Seung‐Hwan Kwon, Tae‐In Kam, et al.. (2019). Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease. Neuron. 103(4). 627–641.e7. 961 indexed citations breakdown →
10.
Noh, Su-Jin, et al.. (2019). Dopamine D1 Receptor (D1R) Expression Is Controlled by a Transcriptional Repressor Complex Containing DISC1. Molecular Neurobiology. 56(10). 6725–6735. 5 indexed citations
11.
Ham, Sangwoo, Hyojung Kim, Hyunook Kang, et al.. (2019). Cell-Based Screen Using Amyloid Mimic β23 Expression Identifies Peucedanocoumarin III as a Novel Inhibitor of α-Synuclein and Huntingtin Aggregates. Molecules and Cells. 42(6). 480–494. 3 indexed citations
12.
Yun, Seung Pil, Donghoon Kim, Sangjune Kim, et al.. (2018). α-Synuclein accumulation and GBA deficiency due to L444P GBA mutation contributes to MPTP-induced parkinsonism. Molecular Neurodegeneration. 13(1). 1–1. 105 indexed citations
13.
Song, H. J., Wanil Kim, Jung‐Hyun Choi, et al.. (2016). Stress-induced nuclear translocation of CDK5 suppresses neuronal death by downregulating ERK activation via VRK3 phosphorylation. Scientific Reports. 6(1). 28634–28634. 18 indexed citations
14.
Lee, Eun‐Ju, Hye Guk Ryu, Sangjune Kim, et al.. (2016). Glycogen synthase kinase 3β suppresses polyglutamine aggregation by inhibiting Vaccinia-related kinase 2 activity. Scientific Reports. 6(1). 29097–29097. 14 indexed citations
15.
Choi, Seulah, Donghoon Kim, Tae‐In Kam, et al.. (2015). Lysosomal Enzyme Glucocerebrosidase Protects against Aβ1-42 Oligomer-Induced Neurotoxicity. PLoS ONE. 10(12). e0143854–e0143854. 15 indexed citations
16.
Kim, Seong-Hoon, Ha-Na Lyu, Ye-Seul Kim, et al.. (2014). Brazilin Isolated from Caesalpinia sappan Suppresses Nuclear Envelope Reassembly by Inhibiting Barrier-to-Autointegration Factor Phosphorylation. Journal of Pharmacology and Experimental Therapeutics. 352(1). 175–184. 24 indexed citations
17.
Kim, Sangjune, Do Young Park, Dohyun Lee, et al.. (2013). Vaccinia-Related Kinase 2 Mediates Accumulation of Polyglutamine Aggregates via Negative Regulation of the Chaperonin TRiC. Molecular and Cellular Biology. 34(4). 643–652. 21 indexed citations
18.
Im, Jungkyun, Sangjune Kim, Young‐Hun Jeong, et al.. (2012). Preparation and evaluation of BBB-permeable trehalose derivatives as potential therapeutic agents for Huntington's disease. MedChemComm. 4(2). 310–316. 18 indexed citations
19.
Park, Choon-ho, Bo‐Hwa Choi, Minwoo Jeong, et al.. (2011). Protein kinase Cδ regulates vaccinia-related kinase 1 in DNA damage–induced apoptosis. Molecular Biology of the Cell. 22(8). 1398–1408. 13 indexed citations
20.
Kim, Wanil, Goutam Chakraborty, Sangjune Kim, et al.. (2011). Macro Histone H2A1.2 (MacroH2A1) Protein Suppresses Mitotic Kinase VRK1 during Interphase. Journal of Biological Chemistry. 287(8). 5278–5289. 37 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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