Won‐Il Choi

2.9k total citations
61 papers, 1.6k citations indexed

About

Won‐Il Choi is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Won‐Il Choi has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Won‐Il Choi's work include Cancer-related Molecular Pathways (11 papers), Epigenetics and DNA Methylation (6 papers) and Retinoids in leukemia and cellular processes (4 papers). Won‐Il Choi is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Epigenetics and DNA Methylation (6 papers) and Retinoids in leukemia and cellular processes (4 papers). Won‐Il Choi collaborates with scholars based in South Korea, United States and United Kingdom. Won‐Il Choi's co-authors include Man‐Wook Hur, Bu‐Nam Jeon, Bu-Nam Jeon, Chae‐Ok Yun, Giyoong Tae, Mi-Hye Kim, Allan S. Hoffman, Deborah A. Quinn, Charles A. Hales and Patrick S. Stayton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Won‐Il Choi

57 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won‐Il Choi South Korea 26 879 233 210 203 168 61 1.6k
Wenxin Song United States 17 1.1k 1.2× 285 1.2× 156 0.7× 270 1.3× 122 0.7× 35 1.8k
Weihua Yuan China 22 1.0k 1.1× 185 0.8× 236 1.1× 363 1.8× 163 1.0× 48 2.4k
Carina Sihlbom Sweden 28 1.3k 1.4× 214 0.9× 141 0.7× 109 0.5× 110 0.7× 80 2.2k
Zhaoyang Liu China 24 785 0.9× 248 1.1× 169 0.8× 109 0.5× 133 0.8× 105 1.7k
Jérôme Zoidakis Greece 25 839 1.0× 211 0.9× 182 0.9× 200 1.0× 81 0.5× 88 1.7k
R. Stone United States 21 679 0.8× 171 0.7× 150 0.7× 258 1.3× 90 0.5× 40 2.2k
Yan‐Hua Chen China 18 836 1.0× 216 0.9× 139 0.7× 211 1.0× 53 0.3× 34 1.6k
Seok‐Ho Hong South Korea 26 959 1.1× 192 0.8× 355 1.7× 135 0.7× 175 1.0× 161 2.2k
Linlin Zhao China 23 1.2k 1.3× 260 1.1× 95 0.5× 280 1.4× 137 0.8× 69 1.9k

Countries citing papers authored by Won‐Il Choi

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Il Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Il 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 Won‐Il Choi. The network helps show where Won‐Il Choi may publish in the future.

Co-authorship network of co-authors of Won‐Il Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Il Choi. A scholar is included among the top collaborators of Won‐Il 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 Won‐Il Choi. Won‐Il 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
1.
Choi, Won‐Il, Won Suk Choi, Won Hee Lee, et al.. (2024). A male mouse model for metabolic dysfunction-associated steatotic liver disease and hepatocellular carcinoma. Nature Communications. 15(1). 6506–6506. 25 indexed citations
2.
Choi, Won‐Il, Haushabhau S. Pagire, Jungsun Park, et al.. (2022). Synthesis and biological evaluation of tyrosine derivatives as peripheral 5HT2A receptor antagonists for nonalcoholic fatty liver disease. European Journal of Medicinal Chemistry. 239. 114517–114517. 9 indexed citations
3.
Lee, Dongho, et al.. (2022). Annual Variation on Observation and Activity Pattern of Korean Chipmunk (<i>Tamias sibiricus</i>) in the Seoraksan and Jirisan National Parks, South Korea<sup>1a</sup>. Korean Journal of Environment and Ecology. 36(4). 361–367. 1 indexed citations
4.
Widmeier, Eugen, Seyoung Yu, Anish Nag, et al.. (2020). ADCK4 Deficiency Destabilizes the Coenzyme Q Complex, Which Is Rescued by 2,4-Dihydroxybenzoic Acid Treatment. Journal of the American Society of Nephrology. 31(6). 1191–1211. 44 indexed citations
5.
6.
Yu, Seyoung, et al.. (2020). PLCE1 regulates the migration, proliferation, and differentiation of podocytes. Experimental & Molecular Medicine. 52(4). 594–603. 28 indexed citations
7.
Noh, Shin Hye, Won‐Il Choi, Hye‐Youn Kim, et al.. (2018). ZMYND10 stabilizes intermediate chain proteins in the cytoplasmic pre-assembly of dynein arms. PLoS Genetics. 14(3). e1007316–e1007316. 35 indexed citations
8.
Jeon, Bu‐Nam, Minkyeong Kim, Min‐Young Kim, et al.. (2014). Two ZNF509 (ZBTB49) isoforms induce cell-cycle arrest by activating transcription of p21/CDKN1A and RB upon exposure to genotoxic stress. Nucleic Acids Research. 42(18). 11447–11461. 18 indexed citations
9.
Choi, Won‐Il, Bu‐Nam Jeon, Dong‐In Koh, et al.. (2014). Human Krüppel-related 3 (HKR3) Is a Novel Transcription Activator of Alternate Reading Frame (ARF) Gene. Journal of Biological Chemistry. 289(7). 4018–4031. 8 indexed citations
10.
Han, Kyoung‐Sik, Prabhu Balan, Hee‐Do Hong, et al.. (2014). Korean ginseng modulates the ileal microbiota and mucin gene expression in the growing rat. Food & Function. 5(7). 1506–1506. 17 indexed citations
11.
12.
Kim, Young‐Joo, Won‐Il Choi, Hyeonseok Ko, et al.. (2013). Neobavaisoflavone sensitizes apoptosis via the inhibition of metastasis in TRAIL-resistant human glioma U373MG cells. Life Sciences. 95(2). 101–107. 26 indexed citations
13.
Choi, Won‐Il, Yoon Jung Kim, Bu-Nam Jeon, et al.. (2011). The proto-oncoprotein KR-POK represses transcriptional activation of CDKN1A by MIZ-1 through competitive binding. Oncogene. 31(11). 1442–1458. 12 indexed citations
14.
Jeon, Bu‐Nam, Won‐Il Choi, A‐Rum Yoon, et al.. (2009). ZBTB2, a Novel Master Regulator of the p53 Pathway. Journal of Biological Chemistry. 284(27). 17935–17946. 48 indexed citations
15.
Choi, Won‐Il, et al.. (2009). The role of phosphodiesterase 3 in endotoxin-induced acute kidney injury. BMC Infectious Diseases. 9(1). 80–80. 14 indexed citations
16.
Choi, Won‐Il, Bu-Nam Jeon, Chae‐Ok Yun, et al.. (2009). Proto-oncogene FBI-1 Represses Transcription of p21CIP1 by Inhibition of Transcription Activation by p53 and Sp1. Journal of Biological Chemistry. 284(19). 12633–12644. 70 indexed citations
17.
Koh, Dong‐In, Won‐Il Choi, Bu‐Nam Jeon, et al.. (2009). A Novel POK Family Transcription Factor, ZBTB5, Represses Transcription of p21CIP1 Gene. Journal of Biological Chemistry. 284(30). 19856–19866. 25 indexed citations
18.
Jeon, Bu‐Nam, Jung‐Yoon Yoo, Won‐Il Choi, et al.. (2008). Proto-oncogene FBI-1 (Pokemon/ZBTB7A) Represses Transcription of the Tumor Suppressor Rb Gene via Binding Competition with Sp1 and Recruitment of Co-repressors. Journal of Biological Chemistry. 283(48). 33199–33210. 83 indexed citations
19.
Jeon, Bu‐Nam, et al.. (2007). Regulation of Pokemon 1 Activity by Sumoylation. Cellular Physiology and Biochemistry. 20(1-4). 167–180. 12 indexed citations
20.
Choi, Won‐Il, Deborah A. Quinn, Kwon Moo Park, et al.. (2003). Systemic Microvascular Leak in an In Vivo Rat Model of Ventilator-induced Lung Injury. American Journal of Respiratory and Critical Care Medicine. 167(12). 1627–1632. 92 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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