Young-Mi Lee

882 total citations
31 papers, 727 citations indexed

About

Young-Mi Lee is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Young-Mi Lee has authored 31 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Young-Mi Lee's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Young-Mi Lee is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Young-Mi Lee collaborates with scholars based in South Korea, United States and United Kingdom. Young-Mi Lee's co-authors include Dae‐Ki Kim, Piotr Siciński, Barun Poudel, Hyeon‐Hui Ki, Ok‐Hwa Kang, Young Ho Kim, Jae‐Seong Lee, Kwan–Hoon Moon, Jae‐Sung Rhee and Bo‐Mi Kim and has published in prestigious journals such as The Journal of Cell Biology, Analytical Chemistry and Cancer Research.

In The Last Decade

Young-Mi Lee

30 papers receiving 704 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-Mi Lee South Korea 17 314 98 80 78 68 31 727
Dominique Ziech United States 8 438 1.4× 86 0.9× 66 0.8× 46 0.6× 61 0.9× 8 838
Kenshi Watanabe Japan 15 376 1.2× 177 1.8× 73 0.9× 65 0.8× 62 0.9× 62 1.1k
Maria V. Savvateeva Russia 9 370 1.2× 47 0.5× 56 0.7× 54 0.7× 79 1.2× 20 835
Keita Kanki Japan 19 535 1.7× 125 1.3× 86 1.1× 101 1.3× 30 0.4× 50 994
Béla Szende Hungary 19 443 1.4× 152 1.6× 74 0.9× 79 1.0× 57 0.8× 61 979
Ying‐Jan Wang Taiwan 15 423 1.3× 115 1.2× 57 0.7× 80 1.0× 27 0.4× 22 828
Ana Calcagnotto United States 14 556 1.8× 101 1.0× 55 0.7× 47 0.6× 67 1.0× 28 1.2k
Xuemei Liu China 18 505 1.6× 98 1.0× 57 0.7× 48 0.6× 66 1.0× 55 909
Julio Isael Pérez‐Carreón Mexico 17 468 1.5× 73 0.7× 61 0.8× 97 1.2× 38 0.6× 47 772
Chong Zhao China 20 383 1.2× 66 0.7× 142 1.8× 103 1.3× 137 2.0× 60 1.0k

Countries citing papers authored by Young-Mi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young-Mi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Mi Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Mi Lee. A scholar is included among the top collaborators of Young-Mi 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 Young-Mi Lee. Young-Mi 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
1.
Byun, Joo‐Yun, Yi Ting Koh, Sun Young Jang, et al.. (2021). Target modulation and pharmacokinetics/pharmacodynamics translation of the BTK inhibitor poseltinib for model-informed phase II dose selection. Scientific Reports. 11(1). 18671–18671. 7 indexed citations
2.
Kim, Ji‐Soo, et al.. (2017). Molecular characterization of ABC transporters in marine ciliate, Euplotes crassus: Identification and response to cadmium and benzo[a]pyrene. Marine Pollution Bulletin. 124(2). 725–735. 30 indexed citations
3.
Ki, Hyeon‐Hui, et al.. (2017). Triticum aestivum sprout-derived polysaccharide exerts hepatoprotective effects against ethanol-induced liver damage by enhancing the antioxidant system in mice. International Journal of Molecular Medicine. 40(4). 1243–1252. 23 indexed citations
4.
Kang, Hyo Jin, et al.. (2016). Cyclic peptide ligand with high binding capacity for affinity purification of immunoglobulin G. Journal of Chromatography A. 1466. 105–112. 19 indexed citations
5.
Poudel, Barun, Young-Mi Lee, & Dae‐Ki Kim. (2015). DDR2 inhibition reduces migration and invasion of murine metastatic melanoma cells by suppressing MMP2/9 expression through ERK/NF-κB pathway. Acta Biochimica et Biophysica Sinica. 47(4). 292–298. 50 indexed citations
6.
Poudel, Barun, et al.. (2015). Flavonoids from Triticum aestivum inhibit adipogenesis in 3T3-L1 cells by upregulating the insig pathway. Molecular Medicine Reports. 12(2). 3139–3145. 45 indexed citations
7.
Lee, Young-Mi, et al.. (2014). The effects of mobile applications in cardiopulmonary assessment education. Nurse Education Today. 35(2). e19–e23. 27 indexed citations
8.
Poudel, Barun, et al.. (2014). Dioscin inhibits adipogenesis through the AMPK/MAPK pathway in 3T3-L1 cells and modulates fat accumulation in obese mice. International Journal of Molecular Medicine. 34(5). 1401–1408. 54 indexed citations
9.
Rhee, Jae‐Sung, Bo‐Mi Kim, Ryeo‐Ok Kim, et al.. (2013). Co-expression of antioxidant enzymes with expression of p53, DNA repair, and heat shock protein genes in the gamma ray-irradiated hermaphroditic fish Kryptolebias marmoratus larvae. Aquatic Toxicology. 140-141. 58–67. 21 indexed citations
10.
Oh, You-Chang, Ok‐Hwa Kang, Jang‐Gi Choi, et al.. (2010). Anti-Allergic Activity of a Platycodon Root Ethanol Extract. International Journal of Molecular Sciences. 11(7). 2746–2758. 28 indexed citations
11.
Moon, Kwan–Hoon, Young-Mi Lee, & Byoung‐Joon Song. (2009). Inhibition of hepatic mitochondrial aldehyde dehydrogenase by carbon tetrachloride through JNK-mediated phosphorylation. Free Radical Biology and Medicine. 48(3). 391–398. 31 indexed citations
12.
Lee, Young-Mi. (2006). Effects of Group Program to Promote Self-Determination for Adolescent with Physical Disabilities. Journal of the Korean society of child welfare. 259–286. 1 indexed citations
13.
Park, Hye Jung, Jin Tae, Chon-Sik Kang, et al.. (2006). Suppression of Cyclooxygenase-2 Expression in Colonic Epithelial Cells by Ilekudinol B Isolated from Weigela subsessilis. Natural Product Sciences. 12(1). 38–43. 1 indexed citations
14.
Lee, Young-Mi & Piotr Siciński. (2006). Targeting Cyclins and Cyclin-Dependent Kinases in Cancer: Lessons from Mice, Hopes for Therapeutic Applications in Humans. Cell Cycle. 5(18). 2110–2114. 71 indexed citations
15.
Kim, Min‐Sun, Il‐Chan Kim, Young-Mi Lee, et al.. (2005). cDNA cloning and expression of ferritin heavy chain 1, ferritin heavy chain 2 and hemoglobin genes from the fire-bellied frogBombina orientalis. DNA sequence. 16(5). 340–351. 1 indexed citations
16.
17.
Tae, Jin, Seung Woo Han, Jae Young Yoo, et al.. (2003). Anti-inflammatory effect of Lonicera japonica in proteinase-activated receptor 2-mediated paw edema. Clinica Chimica Acta. 330(1-2). 165–171. 42 indexed citations
18.
Han, Seung Woo, Jin Tae, Jina Kim, et al.. (2003). The aqueous extract of Solanum melongena inhibits PAR2 agonist-induced inflammation. Clinica Chimica Acta. 328(1-2). 39–44. 43 indexed citations
19.
Kim, Hyungmin, et al.. (1998). INHIBITION OF WOUND-INDUCED EXPRESSION OF TRANSFORMING GROWTH FACTOR-β1 mRNA BY ITS ANTISENSE OLIGONUCLEOTIDES. Pharmacological Research. 37(4). 289–293. 6 indexed citations
20.

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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