Young‐Jun Choe

584 total citations
10 papers, 458 citations indexed

About

Young‐Jun Choe is a scholar working on Molecular Biology, Materials Chemistry and Physiology. According to data from OpenAlex, Young‐Jun Choe has authored 10 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Physiology. Recurrent topics in Young‐Jun Choe's work include Alzheimer's disease research and treatments (3 papers), Nanocluster Synthesis and Applications (2 papers) and Neurological diseases and metabolism (2 papers). Young‐Jun Choe is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Nanocluster Synthesis and Applications (2 papers) and Neurological diseases and metabolism (2 papers). Young‐Jun Choe collaborates with scholars based in South Korea, Germany and Australia. Young‐Jun Choe's co-authors include Ghibom Bhak, F. Ulrich Hartl, Roman Körner, Lisa Vincenz‐Donnelly, Sae-Hun Park, Manajit Hayer‐Hartl, Seung R. Paik, Yeong‐Jae Seok, Daekyun Lee and Tae‐Wook Nam and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Young‐Jun Choe

10 papers receiving 455 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young‐Jun Choe South Korea 9 327 105 58 55 50 10 458
Victor Banerjee India 10 208 0.6× 100 1.0× 15 0.3× 66 1.2× 14 0.3× 18 393
Jonathan Pansieri United Kingdom 12 212 0.6× 181 1.7× 20 0.3× 85 1.5× 20 0.4× 20 446
Dohyun Lee South Korea 14 244 0.7× 53 0.5× 46 0.8× 46 0.8× 44 0.9× 41 473
Logan S. Ahlstrom United States 11 287 0.9× 116 1.1× 67 1.2× 115 2.1× 30 0.6× 16 477
Ana Virel Sweden 11 159 0.5× 33 0.3× 35 0.6× 89 1.6× 23 0.5× 18 398
Joseph D. Barritt United Kingdom 9 122 0.4× 111 1.1× 21 0.4× 57 1.0× 7 0.1× 12 299
Alex Macmillan Australia 8 261 0.8× 109 1.0× 44 0.8× 32 0.6× 22 0.4× 12 449
Huifen Nie United States 8 281 0.9× 78 0.7× 33 0.6× 170 3.1× 13 0.3× 11 447
Jaime Santos Spain 13 349 1.1× 167 1.6× 36 0.6× 71 1.3× 11 0.2× 28 491
Phoebe S. Tsoi United States 8 320 1.0× 79 0.8× 25 0.4× 22 0.4× 16 0.3× 17 446

Countries citing papers authored by Young‐Jun Choe

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Jun Choe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Jun Choe

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Jun Choe. A scholar is included among the top collaborators of Young‐Jun 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 Young‐Jun Choe. Young‐Jun Choe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Choe, Young‐Jun, et al.. (2024). Threonine-rich carboxyl-terminal extension drives aggregation of stalled polypeptides. Molecular Cell. 84(22). 4334–4349.e7. 4 indexed citations
2.
Yang, Junsheng, Young‐Jun Choe, Xinxin Hao, et al.. (2017). Role of the ribosomal quality control machinery in nucleocytoplasmic translocation of polyQ-expanded huntingtin exon-1. Biochemical and Biophysical Research Communications. 493(1). 708–717. 17 indexed citations
3.
Choe, Young‐Jun, Sae-Hun Park, Roman Körner, et al.. (2016). Failure of RQC machinery causes protein aggregation and proteotoxic stress. Nature. 531(7593). 191–195. 177 indexed citations
4.
Lee, Daekyun, Young‐Jun Choe, Minwoo Lee, Dae Hong Jeong, & Seung R. Paik. (2011). Protein-Based SERS Technology Monitoring the Chemical Reactivity on an α-Synuclein-Mediated Two-Dimensional Array of Gold Nanoparticles. Langmuir. 27(21). 12782–12787. 17 indexed citations
5.
Lee, Daekyun, et al.. (2010). Photoconductivity of Pea‐Pod‐Type Chains of Gold Nanoparticles Encapsulated within Dielectric Amyloid Protein Nanofibrils of α‐Synuclein. Angewandte Chemie International Edition. 50(6). 1332–1337. 38 indexed citations
7.
Bhak, Ghibom, et al.. (2009). Mechanism of amyloidogenesis: nucleation-dependent fibrillation versus double-concerted fibrillation. BMB Reports. 42(9). 541–551. 75 indexed citations
8.
Choe, Young‐Jun, et al.. (2009). Increased [ PSI + ] Appearance by Fusion of Rnq1 with the Prion Domain of Sup35 in Saccharomyces cerevisiae. Eukaryotic Cell. 8(7). 968–976. 14 indexed citations
9.
Lee, Jung‐Ho, In‐Hwan Lee, Young‐Jun Choe, et al.. (2008). Real-time analysis of amyloid fibril formation of α-synuclein using a fibrillation-state-specific fluorescent probe of JC-1. Biochemical Journal. 418(2). 311–323. 46 indexed citations
10.
Koo, Byoung‐Mo, Chang‐Ro Lee, Tae‐Wook Nam, et al.. (2004). A Novel Fermentation/Respiration Switch Protein Regulated by Enzyme IIAGlc in Escherichia coli. Journal of Biological Chemistry. 279(30). 31613–31621. 62 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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