Cheol‐Koo Lee

6.1k total citations · 3 hit papers
47 papers, 4.6k citations indexed

About

Cheol‐Koo Lee is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, Cheol‐Koo Lee has authored 47 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Aging and 12 papers in Physiology. Recurrent topics in Cheol‐Koo Lee's work include Genetics, Aging, and Longevity in Model Organisms (20 papers), Adipose Tissue and Metabolism (8 papers) and Fungal and yeast genetics research (6 papers). Cheol‐Koo Lee is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (20 papers), Adipose Tissue and Metabolism (8 papers) and Fungal and yeast genetics research (6 papers). Cheol‐Koo Lee collaborates with scholars based in South Korea, United States and China. Cheol‐Koo Lee's co-authors include Tomas A. Prolla, Richard Weindruch, Roger G. Klopp, Jason D. Lieb, Bhargavi Rao, Yoichiro Shibata, Yoonkyung Lee, Brian D. Strahl, David B. Allison and Tsuyoshi Kayo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Cheol‐Koo Lee

45 papers receiving 4.4k citations

Hit Papers

Gene Expression Profile of Aging and Its Retardation by C... 1999 2026 2008 2017 1999 2000 2004 400 800 1.2k

Peers

Cheol‐Koo Lee
Paola Fabrizio United States
Laurent Mouchiroud Switzerland
Christopher D. Link United States
Vladislav Petyuk United States
Thomas D. Pugh United States
Bin Liang China
Jason G. Wood United States
Elena Katsyuba Switzerland
Phuong Chung United States
Garry Wong Finland
Paola Fabrizio United States
Cheol‐Koo Lee
Citations per year, relative to Cheol‐Koo Lee Cheol‐Koo Lee (= 1×) peers Paola Fabrizio

Countries citing papers authored by Cheol‐Koo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Cheol‐Koo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheol‐Koo Lee. 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 Cheol‐Koo Lee. The network helps show where Cheol‐Koo Lee may publish in the future.

Co-authorship network of co-authors of Cheol‐Koo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Cheol‐Koo Lee. A scholar is included among the top collaborators of Cheol‐Koo Lee 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 Cheol‐Koo Lee. Cheol‐Koo Lee 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.
Oh, Seung Soo, Won-Ho Shin, Hoon‐Chul Kang, et al.. (2024). Senescent Astrocytes Derived from Human Pluripotent Stem Cells Reveal Age-Related Changes and Implications for Neurodegeneration. Aging and Disease. 16(3). 1709–1731. 3 indexed citations
2.
Kim, Juri, et al.. (2023). FPR1 is essential for rapamycin-induced lifespan extension in Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 653. 76–82. 3 indexed citations
3.
Choi, Bong‐Hwan, et al.. (2022). CD4+/CD8+ Ratio and Growth Differentiation Factor 8 Levels in Peripheral Blood of Large Canine Males Are Useful Parameters to Build an Age Prediction Model. The World Journal of Men s Health. 40(2). 316–316. 4 indexed citations
4.
Lee, Cheol‐Koo, et al.. (2020). The Discovery of Druggable Anti-aging Agents. Annals of Geriatric Medicine and Research. 24(4). 232–242. 7 indexed citations
5.
Choi, Kyung-Mi, Seok Jin Hong, Jan M. van Deursen, et al.. (2017). Caloric Restriction and Rapamycin Differentially Alter Energy Metabolism in Yeast. The Journals of Gerontology Series A. 73(1). 29–38. 22 indexed citations
6.
Lee, Sung-Keun, et al.. (2017). Caloric Restriction-Induced Extension of Chronological Lifespan Requires Intact Respiration in Budding Yeast. Molecules and Cells. 40(4). 307–313. 21 indexed citations
7.
Utama, Dicky Tri, et al.. (2016). Correlation between Antioxidant Enzyme Activity, Free Iron Content and Lipid Oxidation in Four Lines of Korean Native Chicken Meat. Korean Journal for Food Science of Animal Resources. 36(1). 44–50. 14 indexed citations
8.
Choi, Kyung-Mi, et al.. (2015). Mitochondrial Efficiency-Dependent Viability of Saccharomyces cerevisiae Mutants Carrying Individual Electron Transport Chain Component Deletions. Molecules and Cells. 38(12). 1054–1063. 30 indexed citations
9.
Choi, Kyung-Mi, Soyoung Kim, Taesun Park, et al.. (2015). Whole-transcriptome analysis of mouse adipose tissue in response to short-term caloric restriction. Molecular Genetics and Genomics. 291(2). 831–847. 21 indexed citations
11.
Choi, Kyung-Mi, et al.. (2013). Characterization of global gene expression during assurance of lifespan extension by caloric restriction in budding yeast. Experimental Gerontology. 48(12). 1455–1468. 19 indexed citations
12.
Choi, Joon-Seok, Seungwon Shin, Se‐Young Choung, et al.. (2011). Effects of Oxypeucedanin on Global Gene Expression and MAPK Signaling Pathway in Mouse Neuroblastoma Neuro-2A Cells. Planta Medica. 77(13). 1512–1518. 10 indexed citations
13.
Choi, Bong‐Hwan, et al.. (2009). Transcriptional Alteration of p53 Related Processes As a Key Factor for Skeletal Muscle Characteristics in Sus scrofa. Molecules and Cells. 28(6). 565–574. 17 indexed citations
14.
Han, Sung Nim, Oskar Adolfsson, Cheol‐Koo Lee, et al.. (2006). Age and Vitamin E-Induced Changes in Gene Expression Profiles of T Cells. The Journal of Immunology. 177(9). 6052–6061. 59 indexed citations
15.
Hogan, Gregory J., Cheol‐Koo Lee, & Jason D. Lieb. (2006). Cell Cycle–Specified Fluctuation of Nucleosome Occupancy at Gene Promoters. PLoS Genetics. 2(9). e158–e158. 87 indexed citations
16.
Lee, Cheol‐Koo, Yoichiro Shibata, Bhargavi Rao, Brian D. Strahl, & Jason D. Lieb. (2004). Evidence for nucleosome depletion at active regulatory regions genome-wide. Nature Genetics. 36(8). 900–905. 576 indexed citations breakdown →
17.
Lee, Cheol‐Koo, Thomas D. Pugh, Roger G. Klopp, et al.. (2004). The impact of α-lipoic acid, coenzyme Q10 and caloric restriction on life span and gene expression patterns in mice. Free Radical Biology and Medicine. 36(8). 1043–1057. 108 indexed citations
18.
Weindruch, Richard, Tsuyoshi Kayo, Cheol‐Koo Lee, & Tomas A. Prolla. (2002). Gene expression profiling of aging using DNA microarrays. Mechanisms of Ageing and Development. 123(2-3). 177–193. 130 indexed citations
19.
Weindruch, Richard, Tsuyoshi Kayo, Cheol‐Koo Lee, & Tomas A. Prolla. (2001). Microarray Profiling of Gene Expression in Aging and Its Alteration by Caloric Restriction in Mice. Journal of Nutrition. 131(3). 918S–923S. 197 indexed citations
20.
Lee, Cheol‐Koo, Richard Weindruch, & Tomas A. Prolla. (2000). Gene-expression profile of the ageing brain in mice. Nature Genetics. 25(3). 294–297. 860 indexed citations breakdown →

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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