Yoon Sup Choi

1.3k total citations · 1 hit paper
12 papers, 870 citations indexed

About

Yoon Sup Choi is a scholar working on Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yoon Sup Choi has authored 12 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yoon Sup Choi's work include Protein Structure and Dynamics (3 papers), Bioinformatics and Genomic Networks (2 papers) and Adipose Tissue and Metabolism (2 papers). Yoon Sup Choi is often cited by papers focused on Protein Structure and Dynamics (3 papers), Bioinformatics and Genomic Networks (2 papers) and Adipose Tissue and Metabolism (2 papers). Yoon Sup Choi collaborates with scholars based in South Korea, United States and China. Yoon Sup Choi's co-authors include Wenzhe Ma, Joseph R. Pomerening, James E. Ferrell, Chao Tang, Tony Tsai, Sung Ho Ryu, Sanguk Kim, Jae‐Seong Yang, Chang Sup Lee and Jihye Hwang and has published in prestigious journals such as Science, PLoS ONE and Molecular Biology and Evolution.

In The Last Decade

Yoon Sup Choi

11 papers receiving 858 citations

Hit Papers

Robust, Tunable Biological Oscillations from Interlinked ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Yoon Sup Choi
Tsz‐Leung To United States
Qiong Yang United States
Chiraj K. Dalal United States
Nan Hao United States
Adaoha Ihekwaba United Kingdom
John Wagner Australia
Elaine Sullivan United Kingdom
Claire V. Harper United Kingdom
Tsz‐Leung To United States
Yoon Sup Choi
Citations per year, relative to Yoon Sup Choi Yoon Sup Choi (= 1×) peers Tsz‐Leung To

Countries citing papers authored by Yoon Sup Choi

Since Specialization
Citations

This map shows the geographic impact of Yoon Sup 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 Sup 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 Sup Choi more than expected).

Fields of papers citing papers by Yoon Sup Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

12 of 12 papers shown
1.
Choi, Yoon Sup. (2017). Concepts, Characteristics, and Clinical Validation of IBM Watson for Oncology. Hanyang Medical Reviews. 37(2). 49–49. 8 indexed citations
2.
Choi, Yoon Sup. (2016). Artificial Intelligence: Will It Replace Human Medical Doctors?. Korean Medical Education Review. 18(2). 47–50.
3.
Choi, Yoon Sup. (2015). How Digital Technology Will Contribute to Future Innovations in Healthcare. Journal of Korean Diabetes. 16(4). 231–231. 1 indexed citations
4.
Choi, Yoon Sup, Kyung Lock Kim, Jiho Yoo, et al.. (2014). Computational Design of Binding Proteins to EGFR Domain II. PLoS ONE. 9(4). e92513–e92513. 9 indexed citations
5.
Kim, Jinho, Inhae Kim, Jae‐Seong Yang, et al.. (2012). Rewiring of PDZ Domain-Ligand Interaction Network Contributed to Eukaryotic Evolution. PLoS Genetics. 8(2). e1002510–e1002510. 51 indexed citations
6.
Nam, Hyun‐Jun, et al.. (2011). Molecular Evolution of Protein Conformational Changes Revealed by a Network of Evolutionarily Coupled Residues. Molecular Biology and Evolution. 28(9). 2675–2685. 39 indexed citations
7.
Kim, Eun Kyoung, Sung Ji Yun, Jung Min Ha, et al.. (2011). Loss of Akt1 evokes epithelial-mesenchymal transition by autocrine regulation of transforming growth factor-β1. Advances in Biological Regulation. 52(1). 88–96. 2 indexed citations
8.
Lee, Chang Sup, et al.. (2009). The roles of phospholipase D in EGFR signaling. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1791(9). 862–868. 40 indexed citations
9.
Kim, Jaeyoon, Yoon Sup Choi, Seyoung Lim, et al.. (2009). Comparative analysis of the secretory proteome of human adipose stromal vascular fraction cells during adipogenesis. PROTEOMICS. 10(3). 394–405. 60 indexed citations
10.
Choi, Yoon Sup, Jae‐Seong Yang, Yonghwan Choi, Sung Ho Ryu, & Sanguk Kim. (2009). Evolutionary conservation in multiple faces of protein interaction. Proteins Structure Function and Bioinformatics. 77(1). 14–25. 54 indexed citations
11.
Tsai, Tony, Yoon Sup Choi, Wenzhe Ma, et al.. (2008). Robust, Tunable Biological Oscillations from Interlinked Positive and Negative Feedback Loops. Science. 321(5885). 126–129. 538 indexed citations breakdown →
12.
Yoon, Jong Hyuk, Kyungmoo Yea, Jaeyoon Kim, et al.. (2008). Comparative proteomic analysis of the insulin‐induced L6 myotube secretome. PROTEOMICS. 9(1). 51–60. 68 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026