Young Whan Choi

3.8k total citations
166 papers, 3.1k citations indexed

About

Young Whan Choi is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Young Whan Choi has authored 166 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 46 papers in Plant Science and 29 papers in Pharmacology. Recurrent topics in Young Whan Choi's work include Plant-derived Lignans Synthesis and Bioactivity (32 papers), Neuroinflammation and Neurodegeneration Mechanisms (20 papers) and Genomics, phytochemicals, and oxidative stress (18 papers). Young Whan Choi is often cited by papers focused on Plant-derived Lignans Synthesis and Bioactivity (32 papers), Neuroinflammation and Neurodegeneration Mechanisms (20 papers) and Genomics, phytochemicals, and oxidative stress (18 papers). Young Whan Choi collaborates with scholars based in South Korea, United States and Nigeria. Young Whan Choi's co-authors include Sun Young Park, Yung Hyun Choi, Geuntae Park, Hwa Kyoung Shin, Byung Tae Choi, Min Jung Ko, Ikhlas A. Khan, Dae Youn Hwang, Mei Ling Jin and Young Hoon Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Young Whan Choi

159 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Whan Choi South Korea 33 1.5k 750 405 402 364 166 3.1k
Yang Yu China 31 1.3k 0.9× 718 1.0× 490 1.2× 518 1.3× 315 0.9× 182 3.1k
Eun Ju Yang South Korea 34 1.5k 1.0× 537 0.7× 306 0.8× 276 0.7× 379 1.0× 147 3.6k
Siwang Wang China 37 1.8k 1.2× 518 0.7× 398 1.0× 617 1.5× 579 1.6× 169 4.2k
Lalita Subedi South Korea 33 1.3k 0.8× 657 0.9× 278 0.7× 355 0.9× 301 0.8× 94 2.8k
Weisheng Feng China 31 2.0k 1.3× 955 1.3× 384 0.9× 462 1.1× 463 1.3× 336 4.0k
Qiusheng Zheng China 38 1.9k 1.3× 563 0.8× 425 1.0× 373 0.9× 811 2.2× 165 3.8k
Gil‐Saeng Jeong South Korea 34 1.7k 1.1× 454 0.6× 454 1.1× 277 0.7× 334 0.9× 135 3.2k
Ghulam Hussain Pakistan 29 1.5k 1.0× 555 0.7× 445 1.1× 423 1.1× 335 0.9× 148 3.6k
Fenghua Fu China 38 1.9k 1.2× 715 1.0× 356 0.9× 673 1.7× 582 1.6× 154 4.2k
Xiaofang Xie China 35 1.3k 0.8× 600 0.8× 289 0.7× 479 1.2× 474 1.3× 119 3.1k

Countries citing papers authored by Young Whan Choi

Since Specialization
Citations

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

Fields of papers citing papers by Young Whan Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Whan Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Young Whan Choi. A scholar is included among the top collaborators of Young Whan 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 Young Whan Choi. Young Whan 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.
Park, Sun Young, et al.. (2024). Citrullus mucosospermus Extract Reduces Weight Gain in Mice Fed a High-Fat Diet. Nutrients. 16(13). 2171–2171. 1 indexed citations
2.
3.
Park, Sun Young, et al.. (2023). Adiposity Reduction by Cucumis melo var. gaettongchamoe Extract in High-Fat Diet-Induced Obese Mice. Nutrients. 15(15). 3292–3292. 1 indexed citations
4.
Guo, Lu, et al.. (2021). Leaves of Cudrania tricuspidata on the Shoot Positional Sequence Show Different Inhibition of Adipogenesis Activity in 3T3-L1 Cells. JoLS Journal of Life Sciences. 31(2). 209–218. 4 indexed citations
5.
6.
Lee, Su Jin, et al.. (2021). Anti-Obesity Effect of α-Cubebenol Isolated from Schisandra chinensis in 3T3-L1 Adipocytes. Biomolecules. 11(11). 1650–1650. 6 indexed citations
7.
Song, Sung Hwa, Seong Mi Choi, Ji Eun Kim, et al.. (2016). α-Isocubebenol alleviates scopolamine-induced cognitive impairment by repressing acetylcholinesterase activity. Neuroscience Letters. 638. 121–128. 24 indexed citations
8.
Lee, Sun Young, Sung‐Min Ahn, Ziyu Wang, et al.. (2016). Neuroprotective effects of 2,3,5,4′-tetrahydoxystilbene-2-O-β-D-glucoside from Polygonum multiflorum against glutamate-induced oxidative toxicity in HT22 cells. Journal of Ethnopharmacology. 195. 64–70. 36 indexed citations
9.
Park, Sun Young, Yung Hyun Choi, Yung Hyun Choi, et al.. (2015). Neuroprotective effects of α-iso-cubebenol on glutamate-induced neurotoxicity. Environmental Toxicology and Pharmacology. 40(2). 549–556. 8 indexed citations
10.
Jeong, Jin‐Woo, Hye Hyeon Lee, Eun‐Ok Choi, et al.. (2015). Schisandrae Fructus Inhibits IL‐1β‐Induced Matrix Metalloproteinases and Inflammatory Mediators Production in SW1353 Human Chondrocytes by Suppressing NF‐κB and MAPK Activation. Drug Development Research. 76(8). 474–483. 30 indexed citations
11.
Jin, Mei Ling, Hyun‐Kyu An, Kyoung-Sook Kim, et al.. (2015). Emodin induces neurite outgrowth through PI3K/Akt/GSK-3β-mediated signaling pathways in Neuro2a cells. Neuroscience Letters. 588. 101–107. 40 indexed citations
12.
Choi, Young Whan, et al.. (2015). Single- and Repeat-dose Oral Toxicity Studies of Lithospermum erythrorhizon Extract in Dogs. Toxicological Research. 31(1). 77–88. 10 indexed citations
13.
Lee, Kyoung‐Pil, et al.. (2013). Anti-allergic and anti-inflammatory effects of bakkenolide B isolated from Petasites japonicus leaves. Journal of Ethnopharmacology. 148(3). 890–894. 40 indexed citations
14.
Park, Young-Hoon, et al.. (2012). Effect of Lignans Isolated from Schisandra chinensis Baillon on Seed Germination and Seedling Growth in Radish. 46(1). 91–103. 1 indexed citations
15.
Park, Sun Young, et al.. (2011). Anti-Inflammatory Effect of Heme Oxygenase-1 Toward Porphyromonas gingivalis Lipopolysaccharide in Macrophages Exposed to Gomisins A, G, and J. Journal of Medicinal Food. 14(12). 1519–1526. 16 indexed citations
16.
Shin, Dong Yeok, et al.. (2010). 흑마늘 추출물이 인체위암세포의 tight junction 투과성 조절과 세포 침윤성 억제에 미치는 영향. 생명과학회지. 20(4). 528–534. 5 indexed citations
17.
18.
Shin, Dong Yeok, Gi‐Young Kim, Jung-In Kim, et al.. (2010). Anti-invasive activity of diallyl disulfide through tightening of tight junctions and inhibition of matrix metalloproteinase activities in LNCaP prostate cancer cells. Toxicology in Vitro. 24(6). 1569–1576. 33 indexed citations
19.
Kim, Jong-Hwan, Young Whan Choi, Young Whan Choi, et al.. (2009). Apoptosis induction of human leukemia U937 cells by gomisin N, a dibenzocyclooctadiene lignan, isolated from Schizandra chinensis Baill. Food and Chemical Toxicology. 48(3). 807–813. 34 indexed citations
20.
Avula, Bharathi, et al.. (2008). Transport ofSchisandra chinensisextract and its biologically-active constituents across Caco-2 cell monolayers — an in-vitro model of intestinal transport. Journal of Pharmacy and Pharmacology. 60(3). 363–370. 28 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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