Jae Eun Park

449 total citations
29 papers, 350 citations indexed

About

Jae Eun Park is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Complementary and alternative medicine. According to data from OpenAlex, Jae Eun Park has authored 29 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Complementary and alternative medicine. Recurrent topics in Jae Eun Park's work include Antioxidants, Aging, Portulaca oleracea (12 papers), Metabolism, Diabetes, and Cancer (10 papers) and Morinda citrifolia extract uses (6 papers). Jae Eun Park is often cited by papers focused on Antioxidants, Aging, Portulaca oleracea (12 papers), Metabolism, Diabetes, and Cancer (10 papers) and Morinda citrifolia extract uses (6 papers). Jae Eun Park collaborates with scholars based in South Korea. Jae Eun Park's co-authors include Ji-Sook Han, Youngwan Seo, Ji Hyun Lee, Ji Yeon Park, Ji Soo Lee, Hyun Ah Lee, Ji Hee Lee, Sang Mong Lee, Chang Oh Hong and Seon Young Kim and has published in prestigious journals such as Nutrients, Journal of Ethnopharmacology and European Journal of Pharmacology.

In The Last Decade

Jae Eun Park

26 papers receiving 343 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 Eun Park South Korea 11 156 95 85 83 49 29 350
An Sook Lee South Korea 9 157 1.0× 105 1.1× 49 0.6× 64 0.8× 38 0.8× 10 394
Lingchao Miao Macao 10 147 0.9× 49 0.5× 48 0.6× 32 0.4× 41 0.8× 17 329
Nadeem Sayyed Saudi Arabia 13 119 0.8× 57 0.6× 61 0.7× 65 0.8× 51 1.0× 55 417
Chun‐Wai Wan Hong Kong 5 161 1.0× 88 0.9× 60 0.7× 44 0.5× 66 1.3× 7 504
Hsien-Hui Chung Taiwan 10 161 1.0× 41 0.4× 99 1.2× 30 0.4× 64 1.3× 20 374
Zobaer Al Mahmud Bangladesh 10 119 0.8× 40 0.4× 59 0.7× 50 0.6× 20 0.4× 23 316
Philippe J. Eugster Switzerland 13 200 1.3× 50 0.5× 61 0.7× 27 0.3× 17 0.3× 35 470
Ni Zheng China 10 184 1.2× 27 0.3× 76 0.9× 44 0.5× 48 1.0× 13 456
Dong Hyun Park South Korea 11 138 0.9× 52 0.5× 27 0.3× 77 0.9× 45 0.9× 21 438
Gopalan Kutty Nampurath India 11 155 1.0× 32 0.3× 54 0.6× 59 0.7× 51 1.0× 18 478

Countries citing papers authored by Jae Eun Park

Since Specialization
Citations

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

Fields of papers citing papers by Jae Eun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Eun Park. 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 Eun Park. The network helps show where Jae Eun Park may publish in the future.

Co-authorship network of co-authors of Jae Eun Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Eun Park. A scholar is included among the top collaborators of Jae Eun Park 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 Eun Park. Jae Eun Park 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, Jae Eun, Minh Tuan Nguyen, Jaehee Kim, et al.. (2025). NSD Family-Mediated H3K36 Methylation in Human Cancer: Mechanisms and Therapeutic Opportunities. Biomedicines. 13(11). 2749–2749.
2.
Park, Jae Eun & Ji-Sook Han. (2024). Ferulic acid improves palmitate-induced insulin resistance by regulating IRS-1/Akt and AMPK pathways in L6 skeletal muscle cells. Toxicology Research. 13(6). tfae197–tfae197. 1 indexed citations
3.
Park, Jae Eun, et al.. (2024). HM-chromanone attenuates obesity and adipose tissue inflammation by downregulating SREBP-1c and NF-κb pathway in high-fat diet-fed mice. Archives of Physiology and Biochemistry. 131(2). 147–155.
4.
Park, Jae Eun, et al.. (2023). HMC Ameliorates Hyperglycemia via Acting PI3K/AKT Pathway and Improving FOXO1 Pathway in ob/ob Mice. Nutrients. 15(9). 2023–2023. 7 indexed citations
5.
Park, Jae Eun & Ji-Sook Han. (2023). Scopoletin protects INS-1 pancreatic β cells from glucotoxicity by reducing oxidative stress and apoptosis. Toxicology in Vitro. 93. 105665–105665. 6 indexed citations
6.
7.
Park, Jae Eun, et al.. (2023). HM-chromanone alleviates hyperglycemia and inflammation in mice with endotoxin-induced insulin resistance. Toxicology Research. 12(4). 665–674. 3 indexed citations
8.
Park, Jae Eun & Ji-Sook Han. (2022). HM-chromanone suppresses hepatic glucose production via activation of AMP-activated protein kinase in HepG2 cell. European Journal of Pharmacology. 928. 175108–175108. 2 indexed citations
9.
Park, Jae Eun & Ji-Sook Han. (2022). HM-chromanone reverses the blockade of insulin signaling induced by high glucose levels in human HepG2 cells. European Journal of Pharmacology. 937. 175358–175358. 2 indexed citations
10.
Park, Jae Eun, et al.. (2022). HM-Chromanone Ameliorates Hyperglycemia and Dyslipidemia in Type 2 Diabetic Mice. Nutrients. 14(9). 1951–1951. 10 indexed citations
11.
Lee, Ji Hee, Jae Eun Park, & Ji-Sook Han. (2021). Fucoidan Stimulates Glucose Uptake via the PI3K/AMPK Pathway and Increases Insulin Sensitivity in 3T3-L1 Adipocytes. JoLS Journal of Life Sciences. 31(1). 1–9. 6 indexed citations
12.
13.
Park, Jae Eun & Ji-Sook Han. (2020). Oxya Chinensis Sinuosa Mishchenko Extract: Potent Glycosidase Inhibitor Alleviates Postprandial Hyperglycemia in Diabetic Mice. JoLS Journal of Life Sciences. 30(12). 1054–1062. 2 indexed citations
14.
Lee, Ji Hyun, Jae Eun Park, & Ji-Sook Han. (2020). Portulaca oleracea L. extract reduces hyperglycemia via PI3k/Akt and AMPK pathways in the skeletal muscles of C57BL/Ksj-db/db mice. Journal of Ethnopharmacology. 260. 112973–112973. 32 indexed citations
15.
Park, Jae Eun, et al.. (2020). HM-chromanone inhibits adipogenesis by regulating adipogenic transcription factors and AMPK in 3T3-L1 adipocytes. European Journal of Pharmacology. 892. 173689–173689. 20 indexed citations
16.
Park, Jae Eun, et al.. (2019). Tenebrio molitor (Mealworm) Extract Improves Insulin Sensitivity and Alleviates Hyperglycemia in C57BL/Ksj-db/db Mice. JoLS Journal of Life Sciences. 29(5). 570–579. 5 indexed citations
17.
Park, Jae Eun & Ji-Sook Han. (2018). Portulaca oleracea L. Extract Lowers Postprandial Hyperglycemia by Inhibiting Carbohydrate-digesting Enzymes. JoLS Journal of Life Sciences. 28(4). 421–428. 7 indexed citations
18.
Park, Jae Eun, Ji Soo Lee, Hyun Ah Lee, & Ji-Sook Han. (2018). Portulaca oleracea L. Extract Enhances Glucose Uptake by Stimulating GLUT4 Translocation to the Plasma Membrane in 3T3-L1 Adipocytes. Journal of Medicinal Food. 21(5). 462–468. 13 indexed citations
19.
Park, Jae Eun, Ji Yeon Park, Youngwan Seo, & Ji-Sook Han. (2018). A new chromanone isolated from Portulaca oleracea L. increases glucose uptake by stimulating GLUT4 translocation to the plasma membrane in 3T3-L1 adipocytes. International Journal of Biological Macromolecules. 123. 26–34. 44 indexed citations
20.
Lee, Sung Chul, et al.. (2012). Agri-Food Business Models Based on NFC. 4(1). 32–40.

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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