Youngshik Choe

3.8k total citations
64 papers, 2.9k citations indexed

About

Youngshik Choe is a scholar working on Molecular Biology, Developmental Neuroscience and Genetics. According to data from OpenAlex, Youngshik Choe has authored 64 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Developmental Neuroscience and 13 papers in Genetics. Recurrent topics in Youngshik Choe's work include Neurogenesis and neuroplasticity mechanisms (14 papers), Epigenetics and DNA Methylation (12 papers) and Hedgehog Signaling Pathway Studies (9 papers). Youngshik Choe is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (14 papers), Epigenetics and DNA Methylation (12 papers) and Hedgehog Signaling Pathway Studies (9 papers). Youngshik Choe collaborates with scholars based in South Korea, United States and Japan. Youngshik Choe's co-authors include Samuel J. Pleasure, Julie A. Siegenthaler, Myoung‐don Oh, Hong Bin Kim, Sang‐Won Park, Cheol‐In Kang, E.-C. Kim, Sung‐Han Kim, Kang Won Choe and Konstantinos Zarbalis and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Youngshik Choe

62 papers receiving 2.8k citations

Peers

Youngshik Choe
Michael J. Gambello United States
Kenneth S. Shindler United States
Eduardo Arzt Argentina
Per Uhlén Sweden
Ping Wu United States
Hee Kyung Jin South Korea
Christos D. Katsetos United States
Hong Yang China
Michael J. Gambello United States
Youngshik Choe
Citations per year, relative to Youngshik Choe Youngshik Choe (= 1×) peers Michael J. Gambello

Countries citing papers authored by Youngshik Choe

Since Specialization
Citations

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

Fields of papers citing papers by Youngshik Choe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngshik Choe

This figure shows the co-authorship network connecting the top 25 collaborators of Youngshik Choe. A scholar is included among the top collaborators of Youngshik Choe 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 Youngshik Choe. Youngshik Choe 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.
Yeo, Seungeun, et al.. (2024). A Zwitterionic Detergent and Catalyst-Based Single-Cell Proteomics Using a Loss-Free Microhole-Collection Disc. Analytical Chemistry. 96(29). 11690–11698.
2.
Bhusal, Anup, Md Habibur Rahman, Jae‐Hong Kim, et al.. (2023). EBP50 is a key molecule for the Schwann cell-axon interaction in peripheral nerves. Progress in Neurobiology. 231. 102544–102544. 1 indexed citations
3.
Lee, Young‐Sun, et al.. (2023). Knee osteoarthritis accelerates amyloid beta deposition and neurodegeneration in a mouse model of Alzheimer’s disease. Molecular Brain. 16(1). 1–1. 28 indexed citations
4.
Kim, Jihoon, Seungeun Yeo, Sung‐Oh Huh, et al.. (2023). Impact of the circadian nuclear receptor REV-ERBα in dorsal raphe 5-HT neurons on social interaction behavior, especially social preference. Experimental & Molecular Medicine. 55(8). 1806–1819. 12 indexed citations
5.
Lee, Hee-Eun, Youngshik Choe, Byung‐Chang Suh, et al.. (2023). Reversibility and developmental neuropathology of linear nevus sebaceous syndrome caused by dysregulation of the RAS pathway. Cell Reports. 42(1). 112003–112003. 2 indexed citations
6.
Yeo, Seungeun, et al.. (2023). Primary cilia-mediated regulation of microglial secretion in Alzheimer’s disease. Frontiers in Molecular Biosciences. 10. 1250335–1250335. 6 indexed citations
7.
Yeo, Seungeun, Soonbong Baek, Hyun Jin Jung, et al.. (2023). Abnormal accumulation of extracellular vesicles in hippocampal dystrophic axons and regulation by the primary cilia in Alzheimer’s disease. Acta Neuropathologica Communications. 11(1). 142–142. 13 indexed citations
8.
Kwon, Oh Kwang, In Hyuk Bang, Sam Seok Cho, et al.. (2022). LDHA Desuccinylase Sirtuin 5 as a Novel Cancer Metastatic Stimulator in Aggressive Prostate Cancer. Genomics Proteomics & Bioinformatics. 21(1). 177–189. 43 indexed citations
9.
Nguyen, Nam P., et al.. (2022). Changes in Cytochrome C Oxidase Redox State and Hemoglobin Concentration in Rat Brain During 810 nm Irradiation Measured by Broadband Near-Infrared Spectroscopy. Photobiomodulation Photomedicine and Laser Surgery. 40(5). 315–324. 1 indexed citations
10.
Choi, So‐Young, Eun Ju Yang, Kwang‐Hyeon Liu, et al.. (2021). Characterization of Novel Progression Factors in Castration-Resistant Prostate Cancer Based on Global Comparative Proteome Analysis. Cancers. 13(14). 3432–3432. 3 indexed citations
11.
Kim, Seongyeon, Kipom Kim, Hyang‐Sook Hoe, et al.. (2021). Transcranial focused ultrasound stimulation with high spatial resolution. Brain stimulation. 14(2). 290–300. 68 indexed citations
12.
Lee, Jang‐Won, Dong‐Fang Deng, Kiyoung Kim, et al.. (2020). The adverse effects of selenomethionine on skeletal muscle, liver, and brain in the steelhead trout (Oncorhynchus mykiss). Environmental Toxicology and Pharmacology. 80. 103451–103451. 3 indexed citations
13.
Choe, Youngshik & Samuel J. Pleasure. (2018). Meningeal Bmps Regulate Cortical Layer Formation. PubMed. 4(2). 169–183. 12 indexed citations
14.
Leem, Eunju, Hyung‐Jun Kim, Minji Choi, et al.. (2018). Upregulation of neuronal astrocyte elevated gene-1 protects nigral dopaminergic neurons in vivo. Cell Death and Disease. 9(5). 449–449. 13 indexed citations
15.
Jeong, Sung‐Jin, Hae-Jin Lee, Eun‐Mi Hur, et al.. (2016). Korea Brain Initiative: Integration and Control of Brain Functions. Neuron. 92(3). 607–611. 17 indexed citations
16.
Jung, Hea-Jin, Catherine Coffinier, Youngshik Choe, et al.. (2012). Regulation of prelamin A but not lamin C by miR-9, a brain-specific microRNA. Proceedings of the National Academy of Sciences. 109(7). E423–31. 179 indexed citations
17.
Choe, Youngshik, Julie A. Siegenthaler, & Samuel J. Pleasure. (2012). A Cascade of Morphogenic Signaling Initiated by the Meninges Controls Corpus Callosum Formation. Neuron. 73(4). 698–712. 77 indexed citations
18.
Munji, Roeben N., Youngshik Choe, Guangnan Li, Julie A. Siegenthaler, & Samuel J. Pleasure. (2011). Wnt Signaling Regulates Neuronal Differentiation of Cortical Intermediate Progenitors. Journal of Neuroscience. 31(5). 1676–1687. 207 indexed citations
19.
Langseth, Abraham J., Roeben N. Munji, Youngshik Choe, et al.. (2010). Wnts Influence the Timing and Efficiency of Oligodendrocyte Precursor Cell Generation in the Telencephalon. Journal of Neuroscience. 30(40). 13367–13372. 51 indexed citations
20.
Son, Gi Hoon, Hosung Jung, Jae Young Seong, et al.. (2003). Excision of the First Intron from the Gonadotropin-releasing Hormone (GnRH) Transcript Serves as a Key Regulatory Step for GnRH Biosynthesis. Journal of Biological Chemistry. 278(20). 18037–18044. 24 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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