Mi‐Kyung Sung

6.9k total citations
157 papers, 5.5k citations indexed

About

Mi‐Kyung Sung is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Mi‐Kyung Sung has authored 157 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 40 papers in Physiology and 24 papers in Pathology and Forensic Medicine. Recurrent topics in Mi‐Kyung Sung's work include Phytoestrogen effects and research (19 papers), Antioxidant Activity and Oxidative Stress (17 papers) and Adipose Tissue and Metabolism (16 papers). Mi‐Kyung Sung is often cited by papers focused on Phytoestrogen effects and research (19 papers), Antioxidant Activity and Oxidative Stress (17 papers) and Adipose Tissue and Metabolism (16 papers). Mi‐Kyung Sung collaborates with scholars based in South Korea, United States and Canada. Mi‐Kyung Sung's co-authors include Mi-Young Park, Hoonjeong Kwon, Rina Yu, Myung‐Sook Choi, Jung Han Yoon Park, Sang‐Cheol Bae, Jong‐Sang Kim, Kwang-Seung Lee, Geun Eog Ji and Hoon Yoo and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mi‐Kyung Sung

155 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi‐Kyung Sung South Korea 45 2.4k 891 869 659 639 157 5.5k
Han Geuk Seo South Korea 48 3.3k 1.3× 968 1.1× 534 0.6× 474 0.7× 449 0.7× 214 7.1k
Kasi Pandima Devi India 40 2.1k 0.9× 591 0.7× 1.0k 1.2× 379 0.6× 653 1.0× 118 5.9k
Nam Deuk Kim South Korea 43 2.9k 1.2× 537 0.6× 735 0.8× 523 0.8× 480 0.8× 162 6.2k
Muhammed Majeed United States 48 3.0k 1.2× 1.1k 1.2× 532 0.6× 641 1.0× 504 0.8× 202 8.5k
Jae‐Young Um South Korea 45 3.5k 1.4× 754 0.8× 824 0.9× 264 0.4× 495 0.8× 263 7.5k
Yu‐Tang Tung Taiwan 37 1.6k 0.7× 594 0.7× 678 0.8× 416 0.6× 609 1.0× 134 4.1k
Fermín Sánchez de Medina Spain 41 2.6k 1.1× 703 0.8× 494 0.6× 837 1.3× 428 0.7× 126 5.7k
Luca Vanella Italy 41 2.4k 1.0× 765 0.9× 457 0.5× 431 0.7× 571 0.9× 149 5.0k
Sung‐Joon Lee South Korea 37 1.6k 0.6× 574 0.6× 440 0.5× 674 1.0× 495 0.8× 104 3.9k
Sha Li China 40 1.5k 0.6× 438 0.5× 580 0.7× 352 0.5× 717 1.1× 249 6.2k

Countries citing papers authored by Mi‐Kyung Sung

Since Specialization
Citations

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

Fields of papers citing papers by Mi‐Kyung Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi‐Kyung Sung. 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 Mi‐Kyung Sung. The network helps show where Mi‐Kyung Sung may publish in the future.

Co-authorship network of co-authors of Mi‐Kyung Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Mi‐Kyung Sung. A scholar is included among the top collaborators of Mi‐Kyung Sung 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 Mi‐Kyung Sung. Mi‐Kyung Sung 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
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Park, Sang Cheol, et al.. (2021). Secondary metabolites changes in germinated barley and its relationship to anti-wrinkle activity. Scientific Reports. 11(1). 758–758. 4 indexed citations
4.
Sung, Mi‐Kyung, et al.. (2020). New Approaches to Increase Skin Efficacy of Chaga Mushroom Extract using High Voltage P ulsed Electric Fields Technology. Journal of the Society of Cosmetic Scientists of Korea. 46(3). 231–241. 1 indexed citations
5.
Kim, Sung-Eun, et al.. (2019). Prebiotic UG1601 mitigates constipation-related events in association with gut microbiota: A randomized placebo-controlled intervention study. World Journal of Gastroenterology. 25(40). 6129–6144. 53 indexed citations
6.
Lee, Sung-Woo, Kyujung Van, Mi‐Kyung Sung, et al.. (2019). Genome-wide association study of seed protein, oil and amino acid contents in soybean from maturity groups I to IV. Theoretical and Applied Genetics. 132(6). 1639–1659. 84 indexed citations
7.
Kim, Chu-Sook, Myung-Sook Choi, Taesun Park, et al.. (2016). The Soy Peptide Phe–Leu–Val Reduces TNFα-Induced Inflammatory Response and Insulin Resistance in Adipocytes. Journal of Medicinal Food. 19(7). 678–685. 41 indexed citations
8.
Sung, Mi‐Kyung, et al.. (2015). Association Between Usual Vitamin K Intake and Anticoagulation in Patients Under Warfarin Therapy. Clinical Nutrition Research. 4(4). 235–235. 9 indexed citations
9.
Bae, Yun‐Jung, Se‐Hong Kim, Sang-Wook Song, et al.. (2013). Evaluation of Adiposity-Related Biomarkers as Metabolic Syndrome Indicators. Clinical Nutrition Research. 2(2). 91–91. 27 indexed citations
10.
Kim, Myung-Sik, et al.. (2013). Investigation of Soybean Cyst Nematode Heterodera Glycines Type and Evaluation of Resistance on Soybean Varieties and Germplasms in Korea. Korean Journal of Crop Science. 58(2). 161–168. 1 indexed citations
11.
Kim, Young Ha, et al.. (2012). Consumption of Sugar-Sweetened Beverages and Blood Pressure in the United States: The National Health and Nutrition Examination Survey 2003-2006. Clinical Nutrition Research. 1(1). 85–85. 15 indexed citations
12.
Shin, Myung‐Hee, Mi‐Kyung Sung, Hee Young Paik, et al.. (2011). Establishment of Korean Dietary Guidelines for Cancer Prevention. 11(3). 129–143. 7 indexed citations
13.
Park, Mi-Young, Hoonjeong Kwon, & Mi‐Kyung Sung. (2009). Evaluation of Aloin and Aloe-Emodin as Anti-Inflammatory Agents in Aloe by Using Murine Macrophages. Bioscience Biotechnology and Biochemistry. 73(4). 828–832. 214 indexed citations
14.
Yu, Rina, et al.. (2005). [S12-4] Dietary Antioxidants as Modulators for Inflammation-related Diseases. 274–277. 1 indexed citations
15.
Sung, Mi‐Kyung, et al.. (2004). Differential Effects of Dietary Fatty Acids on the Regulation of CYP2E1 and Protein Kinase C in Human Hepatoma HepG2 Cells. Journal of Medicinal Food. 7(2). 197–203. 23 indexed citations
16.
Sung, Mi‐Kyung, et al.. (2003). Anticarcinogenic Properties of a Daidzein-Rich Fraction Isolated from Soybean. Journal of Medicinal Food. 6(3). 175–181. 5 indexed citations
17.
Kim, Sung-Eun, et al.. (2002). Protective Effect of Soybean Saponins and Major Antioxidants Against Aflatoxin B 1 -Induced Mutagenicity and DNA-Adduct Formation. Journal of Medicinal Food. 5(4). 235–240. 30 indexed citations
18.
Sung, Mi‐Kyung, et al.. (1999). Taurine Possesses In vitro Antimutagenic Activity Comparable to Major Antioxidants. Preventive Nutrition and Food Science. 4(1). 43–46. 3 indexed citations
19.
Lee, Eun‐Joo, et al.. (1999). Physical Characteristics and Antioxidative Capacity of Major Seaweeds. Preventive Nutrition and Food Science. 4(3). 180–183. 11 indexed citations
20.
Park, Taesun, et al.. (1998). Plasma Aminogram and Urinary Excretion of Free Amino Acids in Adult Vegetarians Compared with Age - Matched Omnivores in Korea. Preventive Nutrition and Food Science. 3(4). 368–373. 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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