Young‐Je Kim

472 total citations
13 papers, 375 citations indexed

About

Young‐Je Kim is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Plant Science. According to data from OpenAlex, Young‐Je Kim has authored 13 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Plant Science. Recurrent topics in Young‐Je Kim's work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Natural Antidiabetic Agents Studies (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). Young‐Je Kim is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (4 papers), Natural Antidiabetic Agents Studies (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). Young‐Je Kim collaborates with scholars based in South Korea, Japan and Sweden. Young‐Je Kim's co-authors include Un Ju Jung, Myung‐Sook Choi, Sang Ryong Kim, Eun‐Young Kwon, Yong Bok Park, Sae‐Rom Yoo, Min‐Tae Jeon, Sungho Maeng, Johny Bajgai and Kyu‐Jae Lee and has published in prestigious journals such as International Journal of Molecular Sciences, Applied Microbiology and Biotechnology and Molecules.

In The Last Decade

Young‐Je Kim

13 papers receiving 373 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‐Je Kim South Korea 9 104 103 91 76 67 13 375
Marzieh Kafeshani Iran 15 134 1.3× 118 1.1× 36 0.4× 50 0.7× 87 1.3× 40 569
Shijian Quan China 12 74 0.7× 189 1.8× 54 0.6× 65 0.9× 59 0.9× 21 446
Yoshihiko Minegishi Japan 13 221 2.1× 227 2.2× 99 1.1× 34 0.4× 103 1.5× 29 697
Sébastien Peltier France 10 104 1.0× 71 0.7× 34 0.4× 35 0.5× 36 0.5× 30 323
Yaoyao Jia South Korea 12 148 1.4× 238 2.3× 128 1.4× 36 0.5× 32 0.5× 15 573
İmran İnce Türkiye 11 100 1.0× 102 1.0× 32 0.4× 28 0.4× 35 0.5× 17 424
Kaoru Tachiyashiki Japan 14 168 1.6× 96 0.9× 46 0.5× 41 0.5× 44 0.7× 38 480
Maísa Pavani dos Santos Brazil 10 187 1.8× 114 1.1× 54 0.6× 49 0.6× 26 0.4× 17 438
Ling Qu China 14 143 1.4× 208 2.0× 78 0.9× 81 1.1× 67 1.0× 35 569
Fu‐Meng Wang China 6 61 0.6× 265 2.6× 92 1.0× 23 0.3× 106 1.6× 6 616

Countries citing papers authored by Young‐Je Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Je Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Je Kim. 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‐Je Kim. The network helps show where Young‐Je Kim may publish in the future.

Co-authorship network of co-authors of Young‐Je Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Je Kim. A scholar is included among the top collaborators of Young‐Je Kim 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‐Je Kim. Young‐Je Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kim, Sang Ryong, et al.. (2025). Therapeutic Potential of Myricitrin in a db/db Mouse Model of Type 2 Diabetes. Molecules. 30(7). 1460–1460. 1 indexed citations
2.
Kim, Young‐Je, et al.. (2025). Myricitrin Alleviates Hypercholesterolemia and Non-Alcoholic Fatty Liver Disease in High Cholesterol Diet-Fed Mice. Nutrients. 17(3). 415–415. 1 indexed citations
3.
Kim, Young‐Je, et al.. (2021). Efficacy of nobiletin in improving hypercholesterolemia and nonalcoholic fatty liver disease in high-cholesterol diet-fed mice. Nutrition Research and Practice. 15(4). 431–431. 23 indexed citations
4.
Kim, Young‐Je, Hyeona Yim, Myungseob Kim, et al.. (2021). Therapeutic efficacy of new botulinum toxin identified in CCUG 7968 strain. Applied Microbiology and Biotechnology. 105(23). 8727–8737. 1 indexed citations
5.
Kim, Young‐Je, Sang Ryong Kim, Do Yeon Kim, et al.. (2019). Supplementation of the Flavonoid Myricitrin Attenuates the Adverse Metabolic Effects of Long-Term Consumption of a High-Fat Diet in Mice. Journal of Medicinal Food. 22(11). 1151–1158. 9 indexed citations
6.
Kim, Young‐Je & Un Ju Jung. (2019). Honokiol Improves Insulin Resistance, Hepatic Steatosis, and Inflammation in Type 2 Diabetic db/db Mice. International Journal of Molecular Sciences. 20(9). 2303–2303. 27 indexed citations
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Kim, Young‐Je, et al.. (2014). Omija Fruit Extract Improves Endurance and Energy Metabolism by Upregulating PGC-1 α Expression in the Skeletal Muscle of Exercised Rats. Journal of Medicinal Food. 17(1). 28–35. 25 indexed citations
11.
Nam, Jin Han, Eunju Leem, Min‐Tae Jeon, et al.. (2014). Inhibition of prothrombin kringle-2-induced inflammation by minocycline protects dopaminergic neurons in the substantia nigra in vivo. Neuroreport. 25(7). 489–495. 13 indexed citations
12.
Kim, Young‐Je. (2013). Garcinia Cambogiaattenuates diet-induced adiposity but exacerbates hepatic collagen accumulation and inflammation. World Journal of Gastroenterology. 19(29). 4689–4689. 66 indexed citations
13.
Kim, Young‐Je, et al.. (2013). Long-term supplementation of honokiol and magnolol ameliorates body fat accumulation, insulin resistance, and adipose inflammation in high-fat fed mice. Molecular Nutrition & Food Research. 57(11). 1988–1998. 67 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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