Mak-Soon Lee

1.4k total citations
45 papers, 1.1k citations indexed

About

Mak-Soon Lee is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Mak-Soon Lee has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Physiology and 15 papers in Epidemiology. Recurrent topics in Mak-Soon Lee's work include Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Peroxisome Proliferator-Activated Receptors (10 papers). Mak-Soon Lee is often cited by papers focused on Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Peroxisome Proliferator-Activated Receptors (10 papers). Mak-Soon Lee collaborates with scholars based in South Korea, Netherlands and United States. Mak-Soon Lee's co-authors include Yangha Kim, Chong‐Tai Kim, In‐Hwan Kim, Sunyoon Jung, Yoonjin Shin, Eugene Chang, Seohyun Lee, Soojung Oh, Hyun‐Jung Lee and Hyun‐Sook Lee and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Nutrients.

In The Last Decade

Mak-Soon Lee

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mak-Soon Lee South Korea 22 411 307 200 186 177 45 1.1k
Jiyoung Yeo South Korea 9 482 1.2× 301 1.0× 209 1.0× 129 0.7× 118 0.7× 21 1.4k
Haeng Jeon Hur South Korea 23 812 2.0× 342 1.1× 261 1.3× 133 0.7× 163 0.9× 63 1.7k
Young‐Sil Lee South Korea 22 547 1.3× 216 0.7× 236 1.2× 192 1.0× 91 0.5× 39 1.3k
Jeong Sook Noh South Korea 23 563 1.4× 204 0.7× 126 0.6× 141 0.8× 131 0.7× 71 1.4k
Seon‐Min Jeon South Korea 17 526 1.3× 427 1.4× 232 1.2× 129 0.7× 104 0.6× 19 1.5k
Jianhui Liu China 23 808 2.0× 343 1.1× 130 0.7× 135 0.7× 111 0.6× 74 1.5k
Khanyisani Ziqubu South Africa 21 352 0.9× 313 1.0× 250 1.3× 112 0.6× 87 0.5× 40 1.2k
Hyun Woo Jeong South Korea 21 852 2.1× 382 1.2× 385 1.9× 252 1.4× 216 1.2× 51 1.8k
P. Viswanathan India 19 378 0.9× 161 0.5× 130 0.7× 269 1.4× 111 0.6× 40 1.4k
Tae‐Il Jeon South Korea 17 351 0.9× 157 0.5× 267 1.3× 116 0.6× 65 0.4× 33 986

Countries citing papers authored by Mak-Soon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mak-Soon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mak-Soon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Mak-Soon Lee. A scholar is included among the top collaborators of Mak-Soon 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 Mak-Soon Lee. Mak-Soon 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.
Lee, Mak-Soon, et al.. (2024). Effects of quercetin nanoemulsion on SIRT1 activation and mitochondrial biogenesis in the skeletal muscle of high-fat diet-fed mice. Nutrition Research and Practice. 18(6). 806–806. 1 indexed citations
2.
Lee, Mak-Soon, et al.. (2024). Effects of Green Tea and Java Pepper Mixture on Gut Microbiome and Colonic MicroRNA-221/222 in Mice with Dextran Sulfate Sodium-Induced Colitis. Preventive Nutrition and Food Science. 29(3). 279–287. 1 indexed citations
3.
Lee, Mak-Soon, et al.. (2024). Effects of Capsicum Oleoresin on the Energy Expenditure and Mitochondrial Content of Brown Adipose Tissue in Mice Fed a High-Fat Diet. Preventive Nutrition and Food Science. 29(4). 422–429.
7.
Lee, Mak-Soon & Yangha Kim. (2020). Mulberry Fruit Extract Ameliorates Adipogenesis via Increasing AMPK Activity and Downregulating MicroRNA-21/143 in 3T3-L1 Adipocytes. Journal of Medicinal Food. 23(3). 266–272. 23 indexed citations
8.
Jung, Sunyoon, et al.. (2019). Anti-Inflammatory Effects of High Hydrostatic Pressure Extract of Mulberry (Morus alba) Fruit on LPS-Stimulated RAW264.7 Cells. Molecules. 24(7). 1425–1425. 41 indexed citations
9.
Lee, Mak-Soon, Sunyoon Jung, Oran Kwon, et al.. (2017). Echinacea purpurea Protects Against Restraint Stress-Induced Immunosuppression in BALB/c Mice. Journal of Medicinal Food. 21(3). 261–268. 23 indexed citations
10.
Lee, Mak-Soon, Sunyoon Jung, Chong‐Tai Kim, et al.. (2017). High Hydrostatic Pressure Extract of Ginger Exerts Antistress Effects in Immobilization-Stressed Rats. Journal of Medicinal Food. 20(9). 864–872. 3 indexed citations
11.
Lee, Mak-Soon, et al.. (2016). Effects of Eicosapentaenoic Acid and Docosahexaenoic Acid on Mitochondrial DNA Replication and PGC-1α Gene Expression in C2C12Muscle Cells. Preventive Nutrition and Food Science. 21(4). 317–322. 27 indexed citations
12.
Lee, Mak-Soon, et al.. (2016). Green Tea (-)-Epigallotocatechin-3-Gallate Induces PGC-1α Gene Expression in HepG2 Cells and 3T3-L1 Adipocytes. Preventive Nutrition and Food Science. 21(1). 62–67. 17 indexed citations
13.
Jung, Sunyoon, Mak-Soon Lee, Yoonjin Shin, et al.. (2015). High Hydrostatic Pressure Extract of Red Ginseng Attenuates Inflammation in Rats with High-fat Diet Induced Obesity. Preventive Nutrition and Food Science. 20(4). 253–259. 13 indexed citations
14.
Jung, Sunyoon, Mak-Soon Lee, Yoonjin Shin, et al.. (2014). Anti-obesity and anti-inflammatory effects of high hydrostatic pressure extracts of ginseng in high-fat diet induced obese rats. Journal of Functional Foods. 10. 169–177. 38 indexed citations
15.
Lee, Mak-Soon & Yangha Kim. (2009). (−)-Epigallocatechin-3-gallate Enhances Uncoupling Protein 2 Gene Expression in 3T3-L1 Adipocytes. Bioscience Biotechnology and Biochemistry. 73(2). 434–436. 24 indexed citations
16.
Lee, Mak-Soon, Chong‐Tai Kim, & Yangha Kim. (2009). Green Tea (–)-Epigallocatechin-3-Gallate Reduces Body Weight with Regulation of Multiple Genes Expression in Adipose Tissue of Diet-Induced Obese Mice. Annals of Nutrition and Metabolism. 54(2). 151–157. 174 indexed citations
17.
18.
Lee, Mak-Soon, Hyun‐Jung Lee, Hyun‐Sook Lee, & Yangha Kim. (2006). L-Carnitine Stimulates Lipolysis via Induction of the Lipolytic Gene Expression and Suppression of the Adipogenic Gene Expression in 3T3-L1 Adipocytes. Journal of Medicinal Food. 9(4). 468–473. 46 indexed citations
19.
Kim, Youn‐Jung, Mak-Soon Lee, Hyun‐Jung Lee, et al.. (2005). Hormones and Nutrients Regulate Acetyl-CoA Carboxylase Promoter I in Rat Primary Hepatocytes. Journal of Nutritional Science and Vitaminology. 51(2). 124–128. 1 indexed citations
20.
Kim, Younghwa, et al.. (2003). Barley .BETA.-Glucan Lowers Serum Cholesterol Based on the Up-Regulation of Cholesterol 7.ALPHA.-Hydroxylase Activity and mRNA Abundance in Cholesterol-Fed Rats. Journal of Nutritional Science and Vitaminology. 49(6). 381–387. 52 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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