Yoon Kyung Choi

4.7k total citations
97 papers, 3.6k citations indexed

About

Yoon Kyung Choi is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Yoon Kyung Choi has authored 97 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 16 papers in Neurology and 14 papers in Cancer Research. Recurrent topics in Yoon Kyung Choi's work include Heme Oxygenase-1 and Carbon Monoxide (21 papers), Enzyme Catalysis and Immobilization (17 papers) and Autophagy in Disease and Therapy (11 papers). Yoon Kyung Choi is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (21 papers), Enzyme Catalysis and Immobilization (17 papers) and Autophagy in Disease and Therapy (11 papers). Yoon Kyung Choi collaborates with scholars based in South Korea, United States and Japan. Yoon Kyung Choi's co-authors include Mahn‐Joo Kim, Jaiwook Park, Young‐Myeong Kim, Kyu‐Won Kim, Woo Jean Kim, Sae‐Won Lee, Nakcheol Jeong, Jin‐Hong Park, Irwin H. Gelman and Kwon‐Soo Ha and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Yoon Kyung Choi

91 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon Kyung Choi South Korea 34 2.1k 645 593 450 389 97 3.6k
Susan R. Doctrow United States 40 2.6k 1.2× 446 0.7× 429 0.7× 400 0.9× 305 0.8× 67 5.9k
Federico Da Settimo Italy 42 2.4k 1.1× 1.9k 3.0× 296 0.5× 115 0.3× 139 0.4× 210 5.3k
Darius J.R. Lane Australia 38 2.1k 1.0× 276 0.4× 164 0.3× 108 0.2× 370 1.0× 72 4.5k
Masatoshi Shibuya Japan 43 2.7k 1.3× 2.6k 4.1× 162 0.3× 467 1.0× 563 1.4× 144 6.9k
Steven Y. Qian United States 31 1.0k 0.5× 403 0.6× 129 0.2× 104 0.2× 360 0.9× 78 3.1k
Zhihui Zhong China 31 1.1k 0.5× 447 0.7× 480 0.8× 58 0.1× 170 0.4× 74 3.7k
Marcel Culcasi France 29 1.2k 0.6× 511 0.8× 481 0.8× 122 0.3× 116 0.3× 66 3.7k
Peter J. Crouch Australia 38 1.9k 0.9× 218 0.3× 453 0.8× 143 0.3× 428 1.1× 109 5.0k
Bernard Malfroy United States 37 3.1k 1.5× 436 0.7× 305 0.5× 379 0.8× 226 0.6× 71 6.5k
Jan Passchier United Kingdom 28 775 0.4× 662 1.0× 171 0.3× 311 0.7× 105 0.3× 67 2.8k

Countries citing papers authored by Yoon Kyung Choi

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Kyung Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon Kyung Choi. 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 Yoon Kyung Choi. The network helps show where Yoon Kyung Choi may publish in the future.

Co-authorship network of co-authors of Yoon Kyung Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Kyung Choi. A scholar is included among the top collaborators of Yoon Kyung Choi 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 Yoon Kyung Choi. Yoon Kyung Choi 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
2.
Lee, Jae Man, et al.. (2025). AMPK activation mitigates α-synuclein pathology and dopaminergic degeneration in cellular and mouse models of Parkinson's disease. Neuropharmacology. 281. 110700–110700. 1 indexed citations
3.
Choi, Yoon Kyung, et al.. (2024). Relative performance evaluation with business group affiliation as a source of common risk. Global Finance Journal. 60. 100929–100929. 1 indexed citations
4.
Choi, Yoon Kyung, Won‐Seok Oh, Young Hyun Park, et al.. (2024). Clinical evaluation of advanced MALDI-TOF MS for carbapenemase subtyping in Gram-negative isolates. Journal of Clinical Microbiology. 63(1). e0147524–e0147524. 2 indexed citations
5.
Choi, Yoon Kyung. (2024). Detrimental Roles of Hypoxia-Inducible Factor-1α in Severe Hypoxic Brain Diseases. International Journal of Molecular Sciences. 25(8). 4465–4465. 12 indexed citations
6.
Kim, Chang‐Hee, Hahn Young Kim, Seung‐Yeol Nah, & Yoon Kyung Choi. (2023). The effects of Korean Red Ginseng on heme oxygenase-1 with a focus on mitochondrial function in pathophysiologic conditions. Journal of Ginseng Research. 47(5). 615–621. 1 indexed citations
7.
Kim, Taeyoung, Hyewhon Rhim, Yoon Kyung Choi, et al.. (2023). Atypical formations of gintonin lysophosphatidic acids as new materials and their beneficial effects on degenerative diseases. Journal of Ginseng Research. 48(1). 1–11. 3 indexed citations
9.
Chang, Mi‐Sook, et al.. (2021). Repair Mechanisms of the Neurovascular Unit after Ischemic Stroke with a Focus on VEGF. International Journal of Molecular Sciences. 22(16). 8543–8543. 71 indexed citations
10.
Seo, Ji Hae, Takakuni Maki, Nobukazu Miyamoto, et al.. (2020). AKAP12 Supports Blood-Brain Barrier Integrity against Ischemic Stroke. International Journal of Molecular Sciences. 21(23). 9078–9078. 16 indexed citations
11.
Choi, Yoon Kyung, et al.. (2020). Development of a Prediction Model and an Adaptive Control Algorithm for the Data Center Thermal Environment. KIEAE Journal. 20(6). 107–112. 1 indexed citations
12.
Yasuda, Ken, Takakuni Maki, Satoshi Saitô, et al.. (2019). Effect of fingolimod on oligodendrocyte maturation under prolonged cerebral hypoperfusion. Brain Research. 1720. 146294–146294. 13 indexed citations
13.
Choi, Yoon Kyung, Joon Ha Park, Jong‐Ho Cha, et al.. (2018). Heme oxygenase metabolites improve astrocytic mitochondrial function via a Ca2+-dependent HIF-1α/ERRα circuit. PLoS ONE. 13(8). e0202039–e0202039. 24 indexed citations
14.
Choi, Yoon Kyung, Joo Yeon Oh, & Sang Yun Han. (2018). Large-Area Graphene Films as Target Surfaces for Highly Reproducible Matrix-Assisted Laser Desorption Ionization Suitable for Quantitative Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 29(10). 2003–2011. 13 indexed citations
15.
Choi, Seunghwan, Joo‐Hwan Kim, Dong-Keon Lee, et al.. (2017). Carbon monoxide prevents TNF-α-induced eNOS downregulation by inhibiting NF-κB-responsive miR-155-5p biogenesis. Experimental & Molecular Medicine. 49(11). e403–e403. 48 indexed citations
16.
Moon, Seong Hyeok, et al.. (2017). The impact of expected child-rearing expenses on childbirth based on the matching of two Korean panel data. International journal of child care and education policy. 11(1). 4 indexed citations
17.
Choi, Yoon Kyung, et al.. (2009). A Study on the Direction of the Legislation of the Multi-Dimensional Mixed-Use Development for the Urban Regeneration. Journal of the Architectural Institute of Korea. 25(5). 131–138. 1 indexed citations
18.
Choi, Yoon Kyung, et al.. (2008). A Study on the Spatial configuration of the Generation Museums in Korea. 71–78.
19.
Choi, Yoon Kyung, et al.. (2006). A Study on the Transition of Spatial Structure in Libraries with Special Reference to Rhizome and Hypertext. Korean Institute of Interior Design Journal. 15(6). 111–119.
20.
Jeong, Nakcheol, et al.. (2002). PausonKhand-type reaction mediated by Rh(I) catalysts. Pure and Applied Chemistry. 74(1). 85–91. 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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