Young‐Chae Kim

1.4k total citations
43 papers, 1.1k citations indexed

About

Young‐Chae Kim is a scholar working on Molecular Biology, Oncology and Ecology. According to data from OpenAlex, Young‐Chae Kim has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Ecology. Recurrent topics in Young‐Chae Kim's work include Fibroblast Growth Factor Research (8 papers), Epigenetics and DNA Methylation (8 papers) and Wildlife Ecology and Conservation (7 papers). Young‐Chae Kim is often cited by papers focused on Fibroblast Growth Factor Research (8 papers), Epigenetics and DNA Methylation (8 papers) and Wildlife Ecology and Conservation (7 papers). Young‐Chae Kim collaborates with scholars based in United States, South Korea and Japan. Young‐Chae Kim's co-authors include Jongsook Kim Kemper, Byron Kemper, Sunmi Seok, Sangwon Byun, Jian Ma, Yang Zhang, Grace L. Guo, H. Eric Xu, Bo Kong and Naoki Iwamori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Young‐Chae Kim

38 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
Young‐Chae Kim United States 21 548 330 197 183 138 43 1.1k
Miao Yu China 20 541 1.0× 174 0.5× 136 0.7× 223 1.2× 141 1.0× 75 1.2k
Annika Mehlem Sweden 7 603 1.1× 289 0.9× 91 0.5× 154 0.8× 330 2.4× 8 1.3k
Junko Sakurai Japan 19 799 1.5× 127 0.4× 135 0.7× 127 0.7× 136 1.0× 44 1.6k
Michael Boergesen Denmark 9 549 1.0× 144 0.4× 62 0.3× 259 1.4× 262 1.9× 10 932
Natalia Yurkova Canada 17 466 0.9× 218 0.7× 70 0.4× 63 0.3× 115 0.8× 23 899
Andrea Morani Sweden 11 329 0.6× 154 0.5× 208 1.1× 79 0.4× 181 1.3× 11 1.1k
Klazina S. Bosch Netherlands 20 324 0.6× 188 0.6× 93 0.5× 169 0.9× 98 0.7× 40 1.1k
Hong Tang China 25 657 1.2× 122 0.4× 256 1.3× 165 0.9× 201 1.5× 121 1.7k
Chae‐Myeong Ha United States 16 688 1.3× 195 0.6× 49 0.2× 169 0.9× 247 1.8× 20 1.3k
Brian A. Neel United States 10 387 0.7× 108 0.3× 118 0.6× 96 0.5× 227 1.6× 12 905

Countries citing papers authored by Young‐Chae Kim

Since Specialization
Citations

This map shows the geographic impact of Young‐Chae 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‐Chae 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‐Chae Kim more than expected).

Fields of papers citing papers by Young‐Chae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Chae Kim. A scholar is included among the top collaborators of Young‐Chae 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‐Chae Kim. Young‐Chae 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.
Kim, Young‐Chae, Ming Qi, Xingchen Dong, et al.. (2023). Transgenic mice lacking FGF15/19-SHP phosphorylation display altered bile acids and gut bacteria, promoting nonalcoholic fatty liver disease. Journal of Biological Chemistry. 299(8). 104946–104946. 4 indexed citations
2.
Seok, Sunmi, Young‐Chae Kim, Yang Zhang, et al.. (2022). Feeding activates FGF15‐SHP‐TFEB‐mediated lipophagy in the gut. The EMBO Journal. 41(17). e109997–e109997. 12 indexed citations
3.
Kim, Areum, et al.. (2020). Home Range and Daily Activity of Nutria (Myocastor coypus) Using Radio Tracking in South Korea. Journal of Environmental Impact Assessment. 29(3). 182–197. 1 indexed citations
4.
Kim, Young‐Chae, et al.. (2020). Studies on the establishment and characteristics of habitat use of muskrat (<i>Ondrtra zibethicus</i>) in South Korea. Environmental Biology Research. 38(1). 1–15.
5.
Kim, Young‐Chae, Sunmi Seok, Yang Zhang, et al.. (2020). Intestinal FGF15/19 physiologically repress hepatic lipogenesis in the late fed-state by activating SHP and DNMT3A. Nature Communications. 11(1). 5969–5969. 54 indexed citations
6.
7.
Byun, Sangwon, Sunmi Seok, Young‐Chae Kim, et al.. (2020). Fasting-induced FGF21 signaling activates hepatic autophagy and lipid degradation via JMJD3 histone demethylase. Nature Communications. 11(1). 807–807. 167 indexed citations
8.
Byun, Sangwon, Jinjing Chen, Young‐Chae Kim, et al.. (2019). Phosphorylation of hepatic farnesoid X receptor by FGF19 signaling–activated Src maintains cholesterol levels and protects from atherosclerosis. Journal of Biological Chemistry. 294(22). 8732–8744. 40 indexed citations
9.
Kim, Young‐Chae, Sunmi Seok, Yang Zhang, et al.. (2019). MicroRNA‐210 Promotes Bile Acid–Induced Cholestatic Liver Injury by Targeting Mixed‐Lineage Leukemia‐4 Methyltransferase in Mice. Hepatology. 71(6). 2118–2134. 29 indexed citations
10.
Kim, Young‐Chae, et al.. (2019). Distribution and Management of Nutria (Myocastor coypus) Populations in South Korea. Sustainability. 11(15). 4169–4169. 14 indexed citations
11.
Kim, Young‐Chae, et al.. (2018). A Management Plan According to the Estimation of Nutria (Myocastor coypus) Distribution Density and Potential Suitable Habitat. Journal of Environmental Impact Assessment. 27(2). 203–214. 5 indexed citations
12.
Seok, Sunmi, Young‐Chae Kim, Sangwon Byun, et al.. (2018). Fasting-induced JMJD3 histone demethylase epigenetically activates mitochondrial fatty acid β-oxidation. Journal of Clinical Investigation. 128(7). 3144–3159. 64 indexed citations
13.
Kim, Young‐Chae, Sunmi Seok, Sangwon Byun, et al.. (2018). AhR and SHP regulate phosphatidylcholine and S-adenosylmethionine levels in the one-carbon cycle. Nature Communications. 9(1). 540–540. 51 indexed citations
14.
Byun, Sangwon, Young‐Chae Kim, Yang Zhang, et al.. (2017). A postprandial FGF 19‐ SHP ‐ LSD 1 regulatory axis mediates epigenetic repression of hepatic autophagy. The EMBO Journal. 36(12). 1755–1769. 60 indexed citations
15.
Kim, Young‐Chae, Congcong Chen, & Eric C. Bolton. (2015). Androgen Receptor-Mediated Growth Suppression of HPr-1AR and PC3-Lenti-AR Prostate Epithelial Cells. PLoS ONE. 10(9). e0138286–e0138286. 10 indexed citations
16.
Kim, Young‐Chae, Sangwon Byun, Yang Zhang, et al.. (2015). Liver ChIP-seq analysis in FGF19-treated mice reveals SHP as a global transcriptional partner of SREBP-2. Genome biology. 16(1). 268–268. 31 indexed citations
17.
Moon, Yuseok, Haopeng Yang, & Young‐Chae Kim. (2007). Up-regulation of early growth response gene 1 (EGR-1) via ERK1/2 signals attenuates sulindac sulfide-mediated cytotoxicity in the human intestinal epithelial cells. Toxicology and Applied Pharmacology. 223(2). 155–163. 24 indexed citations
18.
Kang, Daehee, et al.. (2006). 15-Deoxy-Δ12,14-prostaglandin J2 induces renal epithelial cell death through NF-κB-dependent and MAPK-independent mechanism. Toxicology and Applied Pharmacology. 216(3). 426–435. 18 indexed citations
19.
Seok, Jeong Ho, et al.. (2005). Role of MAPK in ceramide-induced cell death in primary cultured astrocytes from mouse embryonic brain. NeuroToxicology. 27(1). 31–38. 62 indexed citations
20.
Kim, Young‐Chae, et al.. (1986). Cadmium-induced COX-2 Expression in Cerebrovascular Endothelial Cells. 21(3). 275–282. 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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