Yangha Kim Moon

422 total citations
8 papers, 348 citations indexed

About

Yangha Kim Moon is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Yangha Kim Moon has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Physiology. Recurrent topics in Yangha Kim Moon's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Thyroid Disorders and Treatments (3 papers) and CRISPR and Genetic Engineering (2 papers). Yangha Kim Moon is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Thyroid Disorders and Treatments (3 papers) and CRISPR and Genetic Engineering (2 papers). Yangha Kim Moon collaborates with scholars based in South Korea, United States and Netherlands. Yangha Kim Moon's co-authors include Hei Sook Sul, Shaw‐Fang Yet, Hedley C. Freake, Jae Yong Han, Yeong Ho Hong, Dong Kee Jeong, Jong-Yoon Chun, Chiara Soncini, Tae Sub Park and Tadao Ohno and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Endocrinology.

In The Last Decade

Yangha Kim Moon

8 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangha Kim Moon South Korea 7 221 123 66 59 48 8 348
Madeleine Douaire France 12 190 0.9× 168 1.4× 40 0.6× 84 1.4× 34 0.7× 18 447
M. Douaire France 12 199 0.9× 107 0.9× 37 0.6× 49 0.8× 25 0.5× 21 341
Doaa Kirat Japan 12 146 0.7× 84 0.7× 34 0.5× 76 1.3× 34 0.7× 21 379
Tyler F. Daniels United States 6 116 0.5× 84 0.7× 28 0.4× 65 1.1× 40 0.8× 7 317
Kristen Sejrsen Denmark 13 105 0.5× 137 1.1× 36 0.5× 65 1.1× 155 3.2× 24 492
Takashi Ihara Japan 9 116 0.5× 68 0.6× 43 0.7× 43 0.7× 63 1.3× 16 365
Travis J. Knight United States 9 98 0.4× 176 1.4× 42 0.6× 107 1.8× 88 1.8× 10 581
Mark A. Cuff United Kingdom 6 285 1.3× 102 0.8× 48 0.7× 142 2.4× 81 1.7× 6 507
Hans‐Joachim Lipps Germany 7 189 0.9× 100 0.8× 35 0.5× 27 0.5× 51 1.1× 8 347
Ye Lin China 13 262 1.2× 143 1.2× 84 1.3× 30 0.5× 61 1.3× 26 509

Countries citing papers authored by Yangha Kim Moon

Since Specialization
Citations

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

Fields of papers citing papers by Yangha Kim Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangha Kim Moon

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

All Works

8 of 8 papers shown
1.
Freake, Hedley C. & Yangha Kim Moon. (2003). Hormonal and Nutritional Regulation of Lipogenic Enzyme mRNA Levels in Rat Primary White and Brown Adipocytes. Journal of Nutritional Science and Vitaminology. 49(1). 40–46. 15 indexed citations
2.
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
3.
Moon, Yangha Kim. (1998). Effect of Thyroid Hormone on Lipogenesis in Rat White and Brown Adipocytes Culture System. Preventive Nutrition and Food Science. 3(4). 362–367. 1 indexed citations
4.
Hong, Yeong Ho, Yangha Kim Moon, Dong Kee Jeong, & Jae Yong Han. (1998). Improved Transfection Efficiency of Chicken Gonadal Primordial Germ Cells for the Production of Transgenic Poultry. Transgenic Research. 7(4). 247–252. 36 indexed citations
5.
Jeong, Dong Kee, Yeong Ho Hong, Tae Sub Park, et al.. (1997). PRODUCTION OF GERMLINE CHIMERIC CHICKENS BY TRANSFER OF CULTURED PRIMORDIAL GERM CELLS. Cell Biology International. 21(8). 495–499. 82 indexed citations
6.
Soncini, Chiara, Shaw‐Fang Yet, Yangha Kim Moon, Jong-Yoon Chun, & Hei Sook Sul. (1995). Hormonal and Nutritional Control of the Fatty Acid Synthase Promoter in Transgenic Mice. Journal of Biological Chemistry. 270(51). 30339–30343. 63 indexed citations
7.
Yet, Shaw‐Fang, Yangha Kim Moon, & Hei Sook Sul. (1995). Purification and Reconstitution of Murine Mitochondrial Glycerol-3-phosphate Acyltransferase. Functional Expression in Baculovirus-Infected Insect Cells. Biochemistry. 34(22). 7303–7310. 54 indexed citations
8.
Moon, Yangha Kim, et al.. (1992). Tissue-specific regulation of fatty acid synthesis by thyroid hormone.. Endocrinology. 130(2). 637–643. 45 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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