Yee S. Kim

519 total citations
14 papers, 429 citations indexed

About

Yee S. Kim is a scholar working on Cell Biology, Genetics and Molecular Biology. According to data from OpenAlex, Yee S. Kim has authored 14 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Yee S. Kim's work include Muscle metabolism and nutrition (4 papers), Vitamin D Research Studies (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Yee S. Kim is often cited by papers focused on Muscle metabolism and nutrition (4 papers), Vitamin D Research Studies (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Yee S. Kim collaborates with scholars based in United States. Yee S. Kim's co-authors include Harold L. Segal, Louis V. Avioli, Keith A. Hruska, Roberto Civitelli, Margaret Huskey, Akira Fujimori, Sarah Hopper, Stanley J. Birge, Young Ju Kim and Ruth Miller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrinology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Yee S. Kim

14 papers receiving 406 citations

Peers

Yee S. Kim
Biddanda C. Ponnappa United States
K A Leingang United States
R. Baumgartner Switzerland
W. Kahlke Germany
Neville Crawford United Kingdom
Beth Lincoln United States
Irene J. Wise United Kingdom
Parvin Justice United States
Danny L. Wang Taiwan
J Radons Germany
Biddanda C. Ponnappa United States
Yee S. Kim
Citations per year, relative to Yee S. Kim Yee S. Kim (= 1×) peers Biddanda C. Ponnappa

Countries citing papers authored by Yee S. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yee S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yee S. Kim

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

All Works

14 of 14 papers shown
1.
Civitelli, Roberto, Yee S. Kim, Akira Fujimori, et al.. (1990). Nongenomic Activation of the Calcium Message System by Vitamin D Metabolites in Osteoblast-like Cells. Endocrinology. 127(5). 2253–2262. 150 indexed citations
2.
Kim, Yee S., Stanley J. Birge, Louis V. Avioli, & Ruth Miller. (1987). Early manifestations of vitamin D effects in rat osteogenic sarcoma cells. Calcified Tissue International. 41(4). 223–227. 6 indexed citations
3.
Kim, Yee S., Stanley J. Birge, Louis V. Avioli, & Ruth Miller. (1987). Cell density-dependent vitamin D effects on calcium accumulation in rat osteogenic sarcoma cells (ROS 17/2). Calcified Tissue International. 41(4). 218–222. 10 indexed citations
4.
Kim, Yee S., et al.. (1981). Fetal macrosomia in experimental maternal diabetes. American Journal of Obstetrics and Gynecology. 139(1). 27–32. 6 indexed citations
5.
Kim, Yee S. & Young Ju Kim. (1981). A new animal model for fetal macrosomia in diabetic pregnancy. Experimental and Molecular Pathology. 35(3). 388–393. 3 indexed citations
6.
Kim, Yee S., Ismail Jatoi, & Young Jin Kim. (1979). Regulation of DNA synthesis and DNA polymerase in rat pancreas. Experimental and Molecular Pathology. 30(2). 255–263. 3 indexed citations
7.
Kim, Yee S., et al.. (1976). Increase in pancreatic amylase mediated by glucocorticoid. Experimental and Molecular Pathology. 24(1). 105–109. 5 indexed citations
8.
Kim, Yee S., Ben H. Choi, & Young Ho Kim. (1975). Glucocorticoid induced lesions in rat livers. Experimental and Molecular Pathology. 22(2). 260–270. 2 indexed citations
9.
Kim, Yee S., Ben H. Choi, & Young Ho Kim. (1975). The rate of degradation of liver proteins. Experimental and Molecular Pathology. 22(3). 342–349. 1 indexed citations
10.
Kim, Yee S.. (1969). The Half-Life of Alanine Aminotransferase and of Total Soluble Protein in Livers of Normal and Glucocorticoid-Treated Rats. Molecular Pharmacology. 5(2). 105–108. 24 indexed citations
11.
Kim, Yee S.. (1968). The Sequential Increase in the Rates of Synthesis of Enzymes in Rat Liver after Glucocorticoid Administration. Molecular Pharmacology. 4(2). 168–172. 11 indexed citations
12.
Segal, Harold L., Yee S. Kim, & Sarah Hopper. (1965). Glucocorticoid control of rat liver glutamic-alanine transaminase biosynthesis. Advances in Enzyme Regulation. 3. 29–42. 22 indexed citations
13.
Segal, Harold L. & Yee S. Kim. (1965). Environmental control of enzyme synthesis and degradation. Journal of Cellular and Comparative Physiology. 66(S1). 11–22. 46 indexed citations
14.
Segal, Harold L. & Yee S. Kim. (1963). GLUCOCORTICOID STIMULATION OF THE BIOSYNTHESIS OF GLUTAMIC-ALANINE TRANSAMINASE. Proceedings of the National Academy of Sciences. 50(5). 912–918. 140 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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