Jae-Eun Lee

1.2k total citations
76 papers, 780 citations indexed

About

Jae-Eun Lee is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jae-Eun Lee has authored 76 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Plant Science and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jae-Eun Lee's work include Agriculture, Soil, Plant Science (9 papers), Healthcare Education and Workforce Issues (7 papers) and Cancer Genomics and Diagnostics (4 papers). Jae-Eun Lee is often cited by papers focused on Agriculture, Soil, Plant Science (9 papers), Healthcare Education and Workforce Issues (7 papers) and Cancer Genomics and Diagnostics (4 papers). Jae-Eun Lee collaborates with scholars based in South Korea, Japan and United States. Jae-Eun Lee's co-authors include Youngho Kim, Young-Youl Kim, So–Youn Shin, Shine Young Kim, Ji‐Hyun Jang, Ji-Hun Kang, Ki‐Yong Yoon, Juhyung Park, Jongsun Park and Chan Lee and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jae-Eun Lee

64 papers receiving 738 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 Lee South Korea 16 275 121 73 72 52 76 780
Anna Illiano Italy 17 264 1.0× 53 0.4× 38 0.5× 65 0.9× 46 0.9× 56 795
Guijun Liu China 22 403 1.5× 92 0.8× 27 0.4× 108 1.5× 69 1.3× 76 1.2k
Yu Wu China 15 435 1.6× 145 1.2× 72 1.0× 52 0.7× 38 0.7× 49 1.0k
Gabriella Pinto Italy 19 521 1.9× 55 0.5× 77 1.1× 50 0.7× 56 1.1× 85 1.0k
Meizhen Chen China 17 289 1.1× 92 0.8× 36 0.5× 45 0.6× 43 0.8× 59 838
Priyanka Thakur India 12 258 0.9× 122 1.0× 52 0.7× 16 0.2× 31 0.6× 46 749
Jyoti Sharma India 17 223 0.8× 92 0.8× 41 0.6× 40 0.6× 31 0.6× 73 934
Balu Kamaraj India 21 617 2.2× 72 0.6× 90 1.2× 120 1.7× 72 1.4× 45 1.1k

Countries citing papers authored by Jae-Eun Lee

Since Specialization
Citations

This map shows the geographic impact of Jae-Eun Lee'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 Lee 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 Lee more than expected).

Fields of papers citing papers by Jae-Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Eun Lee. A scholar is included among the top collaborators of Jae-Eun Lee 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 Lee. Jae-Eun Lee 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
2.
Kim, Eun‐Gyeong, Myoung‐Jae Shin, Xiaohan Wang, et al.. (2025). Integrative genome-wide association and haplotype-based analyses reveal genetic structure and local adaptation in Korean landrace soybeans. BMC Plant Biology. 25(1). 1416–1416.
3.
Kim, Min-Jee, et al.. (2023). Estimation of Total Nitrogen Content in Topsoil Based on Machine and Deep Learning Using Hyperspectral Imaging. Agriculture. 13(10). 1975–1975. 6 indexed citations
4.
Lee, Jae-Eun, Joo Weon Lim, & Hyeyoung Kim. (2022). Astaxanthin Inhibits Oxidative Stress-Induced Ku Protein Degradation and Apoptosis in Gastric Epithelial Cells. Nutrients. 14(19). 3939–3939. 7 indexed citations
5.
Lee, Jae-Eun, et al.. (2020). Molecular Regulation of α3β4 Nicotinic Acetylcholine Receptors by Lupeol in Cardiovascular System. International Journal of Molecular Sciences. 21(12). 4329–4329. 12 indexed citations
6.
Hur, On‐Sook, Na‐Young Ro, Jae-Eun Lee, et al.. (2020). Lycopene Content and Fruit Morphology of Red, Pink, Orange, and Yellow Fleshed Watermelon (Citrullus lanatus) Germplasm Collections. Korean Journal of Plant Resources. 33(6). 624–637. 1 indexed citations
7.
Lee, Jae-Eun, et al.. (2019). Physical properties and sugar composition stability of food containing different oligosaccharides. Korean Journal of Food Science and Technology. 51(5). 459–465. 1 indexed citations
8.
Nguyen, Cam, Yeo Jin Choi, Li‐Jung Kang, et al.. (2019). Regulation of p21 expression for anti-apoptotic activity of DDX3 against sanguinarine-induced cell death on intrinsic pathway. Phytomedicine. 65. 153096–153096. 7 indexed citations
9.
Lee, Jae-Eun & Young-Youl Kim. (2018). How Should Biobanks Prioritize and Diversify Biosample Collections? A 40-Year Scientific Publication Trend Analysis by the Type of Biosample. OMICS A Journal of Integrative Biology. 22(4). 255–263. 8 indexed citations
10.
Yim, Won Cheol, et al.. (2012). Transcriptome analysis in response to UV-B stress in soybean ['Glycine max' (L.) Merr.]. Australian Journal of Crop Science. 6(9). 1395–1400. 1 indexed citations
11.
Park, Hyang-Mi, Sun‐Lim Kim, Jae-Eun Lee, et al.. (2012). Discrimination of 110 Korean soybean cultivars by sequence tagged sites (STS)-CAPS markers.. Korean Journal of Breeding Science. 44(3). 258–272. 10 indexed citations
12.
Kim, Jung‐Tae, et al.. (2011). A Bicolor Waxy Corn Hybrid with High Eating Quality, ‘Eolrukchal 1’. Korean Journal of Breeding Science. 43(6). 554–558. 4 indexed citations
13.
Lee, Jae-Eun, Seong‐Hoon Park, Jeong‐Hyeon Kim, et al.. (2011). Calorie restriction (CR) reduces age-dependent decline of non-homologous end joining (NHEJ) activity in rat tissues. Experimental Gerontology. 46(11). 891–896. 19 indexed citations
14.
Kwon, Young‐Up, et al.. (2010). Contribution Rate of Plant Parts to Dry Matter Yields in Winter Forage Crops. The Korean Journal of Crop Science. 55(4). 292–298. 1 indexed citations
15.
Park, Hyang-Mi, et al.. (2009). Chloroplast-targeted Expression of PsAPX1 Enhances Tolerance to Various Environmental Stresses in Transgenic Rice. Korean Journal of Breeding Science. 41(3). 261–270. 1 indexed citations
16.
Lee, Jae-Eun, et al.. (2009). Effect of sink and source related characteristics on grain weight and grain nitrogen content in rice.. The Korean Journal of Crop Science. 54(1). 45–54. 2 indexed citations
17.
Kim, Kyung‐Hee, Jae-Eun Lee, Young‐Up Kwon, & Byung‐Moo Lee. (2009). Influence of Antibiotics on Shoot Regeneration and Agrobacteium Suppression Using Cotyledonary Node in Korean Soybean Cultivars. The Korean Journal of Crop Science. 54(3). 307–313. 1 indexed citations
18.
Lee, Choon‐Ki, Jung‐Tae Kim, Yoon‐Hee Choi, et al.. (2009). Optimum Sieve-slit width for Effective Removal of Immature Kernels based on Varietal Characteristics of Rice to Improve Milling Efficiency. The Korean Journal of Crop Science. 54(4). 357–365. 2 indexed citations
19.
Jo, Eun‐Jung, et al.. (2007). Motivation and Time to Apply for Family Medicine Resident. Korean Journal of Family Medicine. 28(12). 931–936.
20.
Lee, Jae-Eun, et al.. (2005). Effects of Sipyukmiyukieum on DNA Synthesis, cAMP Synthesis and MHC-class II Expression of FRTL-5 Thyroid Cells. The Journal of Internal Korean Medicine. 26(2). 398–408.

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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