Yoo Kim

1.2k total citations
42 papers, 741 citations indexed

About

Yoo Kim is a scholar working on Physiology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Yoo Kim has authored 42 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 21 papers in Molecular Biology and 9 papers in Nutrition and Dietetics. Recurrent topics in Yoo Kim's work include Adipose Tissue and Metabolism (17 papers), Fatty Acid Research and Health (8 papers) and Curcumin's Biomedical Applications (7 papers). Yoo Kim is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Fatty Acid Research and Health (8 papers) and Curcumin's Biomedical Applications (7 papers). Yoo Kim collaborates with scholars based in United States, South Korea and France. Yoo Kim's co-authors include Yeonhwa Park, Young Jun Kim, Jun Ho Kim, Daeyoung Kim, J. Marshall Clark, Kyong Sup Yoon, Xiao Xiao, Quancai Sun, Josephine M. Egan and Jennifer O’Connell and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and The FASEB Journal.

In The Last Decade

Yoo Kim

41 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoo Kim United States 15 237 215 171 113 70 42 741
H. Bachmann Switzerland 6 294 1.2× 126 0.6× 138 0.8× 67 0.6× 38 0.5× 12 894
Cécile Gladine France 16 259 1.1× 136 0.6× 279 1.6× 65 0.6× 42 0.6× 33 970
Hadi Sarir Iran 16 138 0.6× 136 0.6× 110 0.6× 103 0.9× 46 0.7× 42 795
Zhaofeng Zhang China 15 512 2.2× 295 1.4× 81 0.5× 78 0.7× 114 1.6× 25 970
Guowei Le China 15 403 1.7× 313 1.5× 95 0.6× 92 0.8× 32 0.5× 23 853
Yuanyuan Zuo China 17 473 2.0× 112 0.5× 147 0.9× 212 1.9× 94 1.3× 41 1.2k
Motohiro Maebuchi Japan 16 353 1.5× 204 0.9× 131 0.8× 86 0.8× 45 0.6× 27 770
Arash Kheradmand Iran 18 108 0.5× 127 0.6× 180 1.1× 71 0.6× 37 0.5× 51 801
Monica Colitti Italy 20 400 1.7× 244 1.1× 130 0.8× 73 0.6× 25 0.4× 67 1.2k

Countries citing papers authored by Yoo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yoo Kim. A scholar is included among the top collaborators of Yoo 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 Yoo Kim. Yoo Kim 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.
Black, E. G., et al.. (2025). Metabolic and molecular regulation in skeletal muscle dysfunction and regeneration. Frontiers in Cell and Developmental Biology. 13. 1651553–1651553. 1 indexed citations
2.
Lee, Da‐Yeon, Nicole Noren Hooten, Jennifer O’Connell, Boo‐Yong Lee, & Yoo Kim. (2025). The Role of Ginseng and Its Bioactive Compounds in Aging: Cells and Animal Studies. Annual Review of Food Science and Technology. 16(1). 333–354. 2 indexed citations
3.
4.
Kim, Yoo, et al.. (2024). Food preference-based screening method for identification of effectors of substance use disorders using Caenorhabditis elegans. Life Sciences. 345. 122580–122580. 3 indexed citations
5.
6.
Lee, Da‐Yeon, et al.. (2024). Red Ginseng Attenuates the Hepatic Cellular Senescence in Aged Mice. Biology. 13(1). 36–36. 3 indexed citations
7.
Lamichhane, Gopal, Femi Olawale, Jing Liu, et al.. (2024). Curcumin Mitigates Gut Dysbiosis and Enhances Gut Barrier Function to Alleviate Metabolic Dysfunction in Obese, Aged Mice. Biology. 13(12). 955–955. 6 indexed citations
8.
Kim, Yoo, et al.. (2023). BRD7 improves glucose homeostasis independent of IRS proteins. Journal of Endocrinology. 258(3). 1 indexed citations
9.
Lee, Da‐Yeon, Prabha Chandrasekaran, Gopal Lamichhane, et al.. (2023). Dietary Curcumin Attenuates Hepatic Cellular Senescence by Suppressing the MAPK/NF-κB Signaling Pathway in Aged Mice. Antioxidants. 12(6). 1165–1165. 15 indexed citations
10.
Kim, Yoo, et al.. (2019). BRD7 deficiency leads to the development of obesity and hyperglycemia. Scientific Reports. 9(1). 5327–5327. 10 indexed citations
11.
Kim, Yoo, Michael Rouse, Isabel González‐Mariscal, Josephine M. Egan, & Jennifer O’Connell. (2019). Dietary curcumin enhances insulin clearance in diet-induced obese mice via regulation of hepatic PI3K-AKT axis and IDE, and preservation of islet integrity. Nutrition & Metabolism. 16(1). 48–48. 30 indexed citations
12.
Xiao, Xiao, Quancai Sun, Yoo Kim, et al.. (2017). Exposure to permethrin promotes high fat diet-induced weight gain and insulin resistance in male C57BL/6J mice. Food and Chemical Toxicology. 111. 405–416. 53 indexed citations
13.
Xiao, Xiao, Yoo Kim, Daeyoung Kim, et al.. (2017). Permethrin alters glucose metabolism in conjunction with high fat diet by potentiating insulin resistance and decreases voluntary activities in female C57BL/6J mice. Food and Chemical Toxicology. 108(Pt A). 161–170. 36 indexed citations
14.
Sun, Quancai, Ye Peng, Weipeng Qi, et al.. (2017). Permethrin decreased insulin-stimulated AKT phosphorylation dependent on extracellular signal-regulated kinase-1 (ERK), but not AMP-activated protein kinase α (AMPKα), in C2C12 myotubes. Food and Chemical Toxicology. 109(Pt 1). 95–101. 14 indexed citations
15.
Kim, Yoo, Daeyoung Kim, & Yeonhwa Park. (2016). Conjugated linoleic acid (CLA) promotes endurance capacity via peroxisome proliferator-activated receptor δ-mediated mechanism in mice. The Journal of Nutritional Biochemistry. 38. 125–133. 20 indexed citations
16.
Kim, Yoo, Daeyoung Kim, Deborah J. Good, & Yeonhwa Park. (2015). Effects of Postweaning Administration of Conjugated Linoleic Acid on Development of Obesity in Nescient Basic Helix–Loop–Helix 2 Knockout Mice. Journal of Agricultural and Food Chemistry. 63(21). 5212–5223. 8 indexed citations
17.
Kim, Yoo, Mark R. Prausnitz, & Henry F. Edelhauser. (2013). Distribution And Clearance Of Microparticles And Nanoparticles In The Suprachoroidal Space After Injection Using Hollow Microneedles In Rabbits. Investigative Ophthalmology & Visual Science. 54(15). 1098–1098. 2 indexed citations
18.
Lee, Jongho, et al.. (2007). The Effect of L-Carnitine and Isoflavone Supplementation on Weight Reduction and Visceral Fat Accumulation in Overweight Women. The Korean Journal of Nutrition. 40(7). 630–638. 6 indexed citations
19.
Park, Hyun‐Woo, et al.. (2006). Long Term Feeding with Soy Isoflavone and L-Carnitine Synergistically Suppresses Body Weight Gain and Adiposity in High-Fat Diet Induced Obese Mice. 9(3). 179–189. 2 indexed citations
20.
Kim, Yoo, et al.. (2005). Effect of Smoking and Carotenoid-rich Food Consumption on Lipid Peroxidation and Antioxidant Status. The Korean Journal of Nutrition. 38(10). 836–846. 2 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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