Jeong-Eun Park

871 total citations
37 papers, 692 citations indexed

About

Jeong-Eun Park is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Jeong-Eun Park has authored 37 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Epidemiology. Recurrent topics in Jeong-Eun Park's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Algal biology and biofuel production (3 papers). Jeong-Eun Park is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Algal biology and biofuel production (3 papers). Jeong-Eun Park collaborates with scholars based in South Korea, United States and China. Jeong-Eun Park's co-authors include Sun‐Jin Hwang, Yongbeom Cho, Sun‐Jin Kim, Youn‐Soo Cha, Eunjung Kim, So Young Bu, P.B. Tirupathi Pichiah, Hyeon‐Su Ro, Muthuraman Pandurangan and Mina Kim and has published in prestigious journals such as Bioresource Technology, Nutrients and International Journal of Environmental Research and Public Health.

In The Last Decade

Jeong-Eun Park

34 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong-Eun Park South Korea 13 202 188 80 73 66 37 692
Hiroyuki Takenaka Japan 18 246 1.2× 264 1.4× 79 1.0× 182 2.5× 74 1.1× 60 1.1k
Maria Zych Poland 20 107 0.5× 343 1.8× 74 0.9× 112 1.5× 95 1.4× 60 917
Sen He China 14 103 0.5× 188 1.0× 134 1.7× 49 0.7× 40 0.6× 29 646
Sook Yee Gan Malaysia 15 221 1.1× 318 1.7× 49 0.6× 67 0.9× 129 2.0× 30 863
Masaru Terasaki Japan 18 232 1.1× 357 1.9× 82 1.0× 24 0.3× 56 0.8× 63 1.2k
Dong Zhao China 14 69 0.3× 222 1.2× 54 0.7× 45 0.6× 53 0.8× 45 727
Hyoung-Chin Kim South Korea 11 170 0.8× 208 1.1× 44 0.6× 20 0.3× 28 0.4× 17 565
Shoichiro Kumamoto Japan 15 156 0.8× 154 0.8× 63 0.8× 174 2.4× 46 0.7× 21 574
Fumiko Konishi Japan 21 169 0.8× 454 2.4× 89 1.1× 205 2.8× 196 3.0× 51 1.3k
Seon‐Hee Kim South Korea 13 37 0.2× 199 1.1× 68 0.8× 70 1.0× 42 0.6× 32 579

Countries citing papers authored by Jeong-Eun Park

Since Specialization
Citations

This map shows the geographic impact of Jeong-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 Jeong-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 Jeong-Eun Park more than expected).

Fields of papers citing papers by Jeong-Eun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong-Eun Park. A scholar is included among the top collaborators of Jeong-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 Jeong-Eun Park. Jeong-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.
Choi, Eugene, Jeong-Eun Park, Ha-Yeon Lee, et al.. (2022). A simple and sensitive HPLC-FL method for bioanalysis of velpatasvir, a novel hepatitis C virus NS5A inhibitor, in rat plasma: Investigation of factors determining its oral bioavailability. Journal of Chromatography B. 1208. 123399–123399. 5 indexed citations
2.
Park, Jeong-Eun & Sungmoon Jeong. (2022). The analysis of nursing diagnoses determined by students for patients in rehabilitation units. Journal of Exercise Rehabilitation. 18(5). 299–307. 3 indexed citations
3.
Park, Jeong-Eun, Luying Zhang, Ge Liu, et al.. (2022). Modeling the Health and Economic Burden of Chronic Obstructive Pulmonary Disease in China From 2020 to 2039: A Simulation Study. Value in Health Regional Issues. 32. 8–16. 8 indexed citations
4.
Onukwugha, Eberechukwu, et al.. (2021). Economic burden of comorbidities among COPD Patients hospitalized for acute exacerbations: an analysis of a commercially insured population. Expert Review of Pharmacoeconomics & Outcomes Research. 22(4). 683–690. 9 indexed citations
5.
Park, Jeong-Eun, et al.. (2020). In vitro Time-lapse Live-Cell Imaging to Explore Cell Migration toward the Organ of Corti. Journal of Visualized Experiments. 7 indexed citations
6.
Park, Jeong-Eun, et al.. (2020). In vitro Time-lapse Live-Cell Imaging to Explore Cell Migration toward the Organ of Corti. Journal of Visualized Experiments. 2 indexed citations
7.
Park, Jeong-Eun. (2019). A Convergence Study on Disaster Awareness, Disaster Preparedness, and Ego-resilience of Nursing Students. Journal of Convergence Information Technology. 9(11). 38–46. 4 indexed citations
8.
Park, Jeong-Eun, et al.. (2017). A Case of Dermatomyositis in a Patient with a Neuroendocrine Tumor at the Ampulla of Vater. Korean Journal of Medicine. 92(6). 552–557.
9.
Park, Jeong-Eun, et al.. (2016). Sound Waves Induce Neural Differentiation of Human Bone Marrow-Derived Mesenchymal Stem Cells via Ryanodine Receptor-Induced Calcium Release and Pyk2 Activation. Applied Biochemistry and Biotechnology. 180(4). 682–694. 17 indexed citations
10.
Park, Jeong-Eun, et al.. (2014). Chemopreventive effects of curcumin on chemically induced mouse skin carcinogenesis in BK5.insulin-like growth factor-1 transgenic mice. In Vitro Cellular & Developmental Biology - Animal. 50(9). 883–892. 29 indexed citations
11.
Park, Jeong-Eun, et al.. (2013). Organic and conventional farming. 360–360. 3 indexed citations
12.
Kim, Sun‐Jin, Jeong-Eun Park, Yongbeom Cho, & Sun‐Jin Hwang. (2013). Growth rate, organic carbon and nutrient removal rates of Chlorella sorokiniana in autotrophic, heterotrophic and mixotrophic conditions. Bioresource Technology. 144. 8–13. 204 indexed citations
13.
Bu, So Young, et al.. (2013). Anticarcinogenic effect of quercetin by inhibition of insulin-like growth factor (IGF)-1 signaling in mouse skin cancer. Nutrition Research and Practice. 7(6). 439–439. 32 indexed citations
15.
Park, Jeong-Eun, et al.. (2011). Electromagnetic field (EMF) Promotes Neuronal Differentiation of Human Bone Marrow-Derived Mesenchymal Stem Cells. 한국생물공학회 학술대회. 274–274. 1 indexed citations
16.
Lee, Chang Yeol, Jeong-Eun Park, Lee Jia, Jong Kuk Kim, & Hyeon‐Su Ro. (2011). Development of new strains and related SCAR markers for an edible mushroom, Hypsizygus marmoreus. FEMS Microbiology Letters. 327(1). 54–59. 21 indexed citations
17.
Park, Jeong-Eun, et al.. (2010). A Study on the Flow Factors According to On-line Game Fatigue System. Journal of Korea Game Society. 10(5). 75–85. 1 indexed citations
18.
Park, Jeong-Eun & Youn‐Soo Cha. (2010). Stevia rebaudiana Bertoni extract supplementation improves lipid and carnitine profiles in C57BL/6J mice fed a high‐fat diet. Journal of the Science of Food and Agriculture. 90(7). 1099–1105. 27 indexed citations
19.
Park, Jeong-Eun, et al.. (2009). An Empirical Study on the Factors affecting the Serious game Flow. 85–94. 2 indexed citations
20.
Lee, Yun Jeong, et al.. (2006). Factors Predicting Long-term Graft Survival after Kidney Transplantation.. Kidney Research and Clinical Practice. 25(4). 613–620. 1 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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