Jae‐Sun Choi

807 total citations
24 papers, 672 citations indexed

About

Jae‐Sun Choi is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Jae‐Sun Choi has authored 24 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Neurology. Recurrent topics in Jae‐Sun Choi's work include Cancer, Hypoxia, and Metabolism (7 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Ginger and Zingiberaceae research (3 papers). Jae‐Sun Choi is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Ginger and Zingiberaceae research (3 papers). Jae‐Sun Choi collaborates with scholars based in South Korea and Ethiopia. Jae‐Sun Choi's co-authors include Joo‐Won Jeong, Chul‐Ho Jeong, Chan Park, Kyu‐Won Kim, Ja‐Eun Kim, Insug Kang, Seungyoon Nam, Mi Suk Lee, Chan Park and Hye‐Kyung Jeon and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Environmental Pollution and International Journal of Molecular Sciences.

In The Last Decade

Jae‐Sun Choi

24 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Sun Choi South Korea 14 272 114 87 85 79 24 672
Peng Zeng China 20 330 1.2× 110 1.0× 59 0.7× 65 0.8× 97 1.2× 59 899
Mingjiang Yao China 15 278 1.0× 90 0.8× 56 0.6× 57 0.7× 106 1.3× 45 773
Ruey‐Horng Shih Taiwan 8 451 1.7× 66 0.6× 80 0.9× 118 1.4× 40 0.5× 9 1.1k
Junxia Xie China 15 293 1.1× 74 0.6× 147 1.7× 46 0.5× 42 0.5× 25 646
Sun‐Young Hwang South Korea 19 412 1.5× 73 0.6× 98 1.1× 59 0.7× 151 1.9× 47 1.2k
Rabab H. Sayed Egypt 19 308 1.1× 53 0.5× 85 1.0× 48 0.6× 94 1.2× 54 828
Alessio Alfieri United Kingdom 13 412 1.5× 59 0.5× 36 0.4× 52 0.6× 48 0.6× 20 852
E-Jian Lee Taiwan 22 414 1.5× 122 1.1× 186 2.1× 35 0.4× 108 1.4× 61 1.3k
Xiaoyun Cao China 16 359 1.3× 51 0.4× 28 0.3× 90 1.1× 46 0.6× 36 762
Muhammed A. Saad Egypt 19 321 1.2× 55 0.5× 46 0.5× 57 0.7× 83 1.1× 45 896

Countries citing papers authored by Jae‐Sun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Sun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae‐Sun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Sun Choi. A scholar is included among the top collaborators of Jae‐Sun 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 Jae‐Sun Choi. Jae‐Sun 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, Jae‐Sun, Kiyong Na, Taewoo Kim, et al.. (2024). KEAP1-NRF2 Pathway as a Novel Therapeutic Target for EGFR-Mutant Non-small Cell Lung Cancer. Tuberculosis & respiratory diseases. 88(1). 138–149. 3 indexed citations
2.
Choi, Jae‐Sun, Sung‐Yeon Kim, Ja‐Eun Kim, et al.. (2023). Mild exposure to fine particulate matter promotes angiogenesis in non-small cell lung carcinoma. Environmental Pollution. 329. 121715–121715. 5 indexed citations
3.
Choi, Jae‐Sun, et al.. (2021). β-arrestin 2 stimulates degradation of HIF-1α and modulates tumor progression of glioblastoma. Cell Death and Differentiation. 28(11). 3092–3104. 24 indexed citations
4.
5.
Choi, Jae‐Sun, et al.. (2020). Ischemia induces autophagy of endothelial cells and stimulates angiogenic effects in a hindlimb ischemia mouse model. Cell Death and Disease. 11(8). 624–624. 35 indexed citations
6.
Choi, Jae‐Sun, et al.. (2018). The Neuroprotective Effects of Cinnamic Aldehyde in an MPTP Mouse Model of Parkinson’s Disease. International Journal of Molecular Sciences. 19(2). 551–551. 36 indexed citations
7.
Choi, Jae‐Sun, et al.. (2017). Evaluation of non-thermal plasma-induced anticancer effects on human colon cancer cells. Biomedical Optics Express. 8(5). 2649–2649. 26 indexed citations
8.
Choi, Jae‐Sun, et al.. (2016). Zingerone suppresses angiogenesisviainhibition of matrix metalloproteinases during tumor development. Oncotarget. 7(30). 47232–47241. 31 indexed citations
9.
Choi, Jae‐Sun, et al.. (2015). Cinnamic aldehyde suppresses hypoxia-induced angiogenesis via inhibition of hypoxia-inducible factor-1α expression during tumor progression. Biochemical Pharmacology. 98(1). 41–50. 28 indexed citations
10.
Choi, Jae‐Sun, et al.. (2015). Zingerone activates VMAT2 during MPP+‐induced Cell Death. Phytotherapy Research. 29(11). 1783–1790. 7 indexed citations
11.
Choi, Jae‐Sun, et al.. (2012). Immunoreactive Detection of Glial Fibrillary Acidic Protein (GFAP) from the Brain of Bombyx mori. Biomedical Research-tokyo. 23(1). 0. 1 indexed citations
12.
Jeon, Hye‐Kyung, et al.. (2012). Reduced expression of FASN through SREBP‐1 down‐regulation is responsible for hypoxic cell death in HepG2 cells. Journal of Cellular Biochemistry. 113(12). 3730–3739. 25 indexed citations
13.
Choi, Jae‐Sun, et al.. (2012). Melatonin suppresses tumor progression by reducing angiogenesis stimulated by HIF‐1 in a mouse tumor model. Journal of Pineal Research. 54(3). 264–270. 96 indexed citations
14.
Jeong, Chul‐Ho, et al.. (2012). Antiangiogenic Effects ofP‐Coumaric Acid in Human Endothelial Cells. Phytotherapy Research. 27(3). 317–323. 90 indexed citations
15.
Choi, Jae‐Sun, Shi-Young Park, Eui-Yeun Yi, Yung-Jin Kim, & Joo‐Won Jeong. (2011). Coenzyme Q10 Decreases Basic Fibroblast Growth Factor (bFGF)-Induced Angiogenesis by Blocking ERK Activation. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 19(10). 455–461. 11 indexed citations
16.
Choi, Jae‐Sun & Chul‐Ho Jeong. (2010). Anti-angiogenic Effect of Linalool. Journal of Cancer Prevention. 15(2). 133–137. 1 indexed citations
17.
Choi, Jae‐Sun, Mi Suk Lee, & Joo‐Won Jeong. (2010). Ethyl pyruvate has a neuroprotective effect through activation of extracellular signal-regulated kinase in Parkinson’s disease model. Biochemical and Biophysical Research Communications. 394(3). 854–858. 26 indexed citations
18.
Choi, Jae‐Sun, et al.. (2010). Ethyl pyruvate stabilizes hypoxia-inducible factor 1 alpha via stimulation of the TCA cycle. Cancer Letters. 295(2). 236–241. 17 indexed citations
19.
Choi, Jae‐Sun, Chan Park, & Joo‐Won Jeong. (2009). AMP-activated protein kinase is activated in Parkinson’s disease models mediated by 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine. Biochemical and Biophysical Research Communications. 391(1). 147–151. 88 indexed citations
20.
Choi, Jae‐Sun, et al.. (2006). Corticotropin-releasing Factor (CRF) and Urocortin Promote the Survival of Cultured Cerebellar GABAergic Neurons Through the Type 1 CRF Receptor. Journal of Korean Medical Science. 21(3). 518–518. 10 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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