Won Jun Choi

1.9k total citations
82 papers, 1.6k citations indexed

About

Won Jun Choi is a scholar working on Molecular Biology, Organic Chemistry and Physiology. According to data from OpenAlex, Won Jun Choi has authored 82 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 26 papers in Organic Chemistry and 15 papers in Physiology. Recurrent topics in Won Jun Choi's work include Biochemical and Molecular Research (15 papers), Adenosine and Purinergic Signaling (14 papers) and HIV/AIDS drug development and treatment (12 papers). Won Jun Choi is often cited by papers focused on Biochemical and Molecular Research (15 papers), Adenosine and Purinergic Signaling (14 papers) and HIV/AIDS drug development and treatment (12 papers). Won Jun Choi collaborates with scholars based in South Korea, United States and China. Won Jun Choi's co-authors include Lak Shin Jeong, Hea Ok Kim, Hyung Ryong Moon, Hyuk Woo Lee, Choongho Lee, Dae Hong Shin, Jin Hong Mok, Sang Kook Lee, Seung Hyun Lee and Soojin Jun and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and American Journal Of Pathology.

In The Last Decade

Won Jun Choi

81 papers receiving 1.5k 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 Jun Choi South Korea 25 746 497 320 219 106 82 1.6k
Hak Sung Kim South Korea 26 878 1.2× 457 0.9× 404 1.3× 125 0.6× 36 0.3× 74 1.8k
Tuomo Laitinen Finland 26 970 1.3× 354 0.7× 41 0.1× 115 0.5× 130 1.2× 90 1.8k
Pierangela Ciuffreda Italy 22 1.1k 1.4× 582 1.2× 76 0.2× 74 0.3× 87 0.8× 150 1.8k
Thorsten J. Maier Germany 23 521 0.7× 241 0.5× 28 0.1× 89 0.4× 55 0.5× 43 1.9k
Shridhar Narayanan India 17 542 0.7× 203 0.4× 34 0.1× 133 0.6× 12 0.1× 52 1.1k
Daniel I. Pérez Spain 31 1.4k 1.9× 597 1.2× 42 0.1× 153 0.7× 73 0.7× 83 2.8k
Somdutt Mujwar India 25 686 0.9× 491 1.0× 20 0.1× 90 0.4× 34 0.3× 102 1.8k
Elisa Uliassi Italy 19 639 0.9× 400 0.8× 66 0.2× 50 0.2× 21 0.2× 43 1.6k
Michela Festa Italy 27 1.0k 1.4× 156 0.3× 46 0.1× 26 0.1× 14 0.1× 46 1.7k
Walter E. DeWolf United States 26 984 1.3× 620 1.2× 41 0.1× 119 0.5× 39 0.4× 50 1.9k

Countries citing papers authored by Won Jun Choi

Since Specialization
Citations

This map shows the geographic impact of Won Jun 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 Jun 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 Jun Choi more than expected).

Fields of papers citing papers by Won Jun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Jun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Won Jun Choi. A scholar is included among the top collaborators of Won Jun 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 Jun Choi. Won Jun 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 Jun, et al.. (2023). Dimethyl Itaconate Inhibits Melanogenesis in B16F10 Cells. Antioxidants. 12(3). 692–692. 6 indexed citations
2.
Chae, Hee‐Sung, et al.. (2023). Stereochemical assignment of clerodane-type diterpenes from the fruits of Casearia grewiifolia and their ability to inhibit PCSK9 expression. Phytochemistry. 216. 113864–113864. 2 indexed citations
3.
4.
Elkamhawy, Ahmed, Hwa Young Lee, Mahmoud El‐Maghrabey, et al.. (2022). Design, Synthesis, Biological Evaluation, and Molecular Dynamics Studies of Novel Lapatinib Derivatives. Pharmaceuticals. 16(1). 43–43. 16 indexed citations
5.
Ko, Hyejin, Seungchan An, Sungjin Ahn, et al.. (2021). Sunscreen filter octocrylene is a potential obesogen by acting as a PPARγ partial agonist. Toxicology Letters. 355. 141–149. 6 indexed citations
6.
Lee, Choongho & Won Jun Choi. (2021). Overview of COVID-19 inflammatory pathogenesis from the therapeutic perspective. Archives of Pharmacal Research. 44(1). 99–116. 59 indexed citations
7.
Choi, Won Jun, et al.. (2021). Triptolide Downregulates the Expression of NRF2 Target Genes by Increasing Cytoplasmic Localization of NRF2 in A549 Cells. Frontiers in Pharmacology. 12. 680167–680167. 8 indexed citations
8.
Lee, June, et al.. (2018). Marliolide inhibits skin carcinogenesis by activating NRF2/ARE to induce heme oxygenase-1. European Journal of Medicinal Chemistry. 150. 113–126. 21 indexed citations
9.
10.
Kim, Jiseon, Jee Sun Min, Doyun Kim, et al.. (2016). A simple and sensitive liquid chromatography–tandem mass spectrometry method for trans -ε-viniferin quantification in mouse plasma and its application to a pharmacokinetic study in mice. Journal of Pharmaceutical and Biomedical Analysis. 134. 116–121. 21 indexed citations
11.
Choi, Won Jun, et al.. (2016). The first asymmetric synthesis of marliolide from readily accessible carbohydrate as chiral template. Carbohydrate Research. 432. 31–35. 5 indexed citations
12.
Choi, Du Hyung, Jun Yeul Lim, Sangmun Shin, et al.. (2014). A Novel Experimental Design Method to Optimize Hydrophilic Matrix Formulations with Drug Release Profiles and Mechanical Properties. Journal of Pharmaceutical Sciences. 103(10). 3083–3094. 13 indexed citations
13.
Choi, Won Jun, Hyuk Woo Lee, Hea Ok Kim, et al.. (2009). Design and synthesis of N6-substituted-4′-thioadenosine-5′-uronamides as potent and selective human A3 adenosine receptor agonists. Bioorganic & Medicinal Chemistry. 17(23). 8003–8011. 14 indexed citations
14.
Chun, Moon Woo, Sung Wook Choi, Won Jun Choi, et al.. (2008). Synthesis of 3′-Acetamidoadenosine Derivatives as Potential A3Adenosine Receptor Agonists. Nucleosides Nucleotides & Nucleic Acids. 27(4). 408–420. 2 indexed citations
15.
Pal, Shantanu, et al.. (2008). Design and Synthesis of Truncated 4'-Thioadenosine Derivatives as Potent and Selective A3 Adenosine Receptor Antagonists. Nucleic Acids Symposium Series. 52(1). 641–642. 2 indexed citations
16.
Jeong, Lak Shin, Hyuk Woo Lee, Hea Ok Kim, et al.. (2008). Structure–activity relationships of 2-chloro-N6-substituted-4′-thioadenosine-5′-N,N-dialkyluronamides as human A3 adenosine receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 18(5). 1612–1616. 13 indexed citations
17.
Jeong, Lak Shin, et al.. (2008). Design and synthesis of novel 2′,3′-dideoxy-4′-selenonucleosides as potential antiviral agents. Bioorganic & Medicinal Chemistry. 16(23). 9891–9897. 26 indexed citations
18.
Choi, Won Jun, et al.. (2008). Synthesis of 2-alkynyl substituted 4′-thioadenosine derivatives and their binding affinities at the adenosine receptors. Archives of Pharmacal Research. 31(8). 973–977. 1 indexed citations
19.
Choi, Won Jun, et al.. (2001). Extracellular Toxicity of Motor Neuronal Cells Expressing Mutant Cu/Zn Superoxide Dismutase in Familial ALS Cell Line Model.. Journal of the Korean Neurological Association. 19(6). 629–632. 1 indexed citations
20.
Chae, Hee Bok, Won Jun Choi, Hyoung‐Shik Shin, et al.. (1999). Assessment of Body Composition Using Dual Energy X - Ray Absorptiometry in Patients with Liver Cirrhosis ; Comparison with Anthropometry. The Korean Journal of Internal Medicine. 14(2). 64–71. 8 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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