Charles C. Lee

5.8k total citations
136 papers, 4.2k citations indexed

About

Charles C. Lee is a scholar working on Molecular Biology, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Charles C. Lee has authored 136 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 43 papers in Biomedical Engineering and 39 papers in Cognitive Neuroscience. Recurrent topics in Charles C. Lee's work include Biofuel production and bioconversion (35 papers), Neural dynamics and brain function (31 papers) and Enzyme Production and Characterization (29 papers). Charles C. Lee is often cited by papers focused on Biofuel production and bioconversion (35 papers), Neural dynamics and brain function (31 papers) and Enzyme Production and Characterization (29 papers). Charles C. Lee collaborates with scholars based in United States, South Korea and China. Charles C. Lee's co-authors include Jeffery A. Winer, S. Murray Sherman, Terumi Kohwi-shigematsu, Shutao Cai, Kurt Wagschal, Dominic W. S. Wong, George H. Robertson, William J. Orts, Christoph E. Schreiner and Olalekan M. Ogundele and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Charles C. Lee

133 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles C. Lee United States 39 1.5k 1.3k 925 658 621 136 4.2k
Masahiro Sakamoto Japan 38 2.3k 1.5× 1.3k 1.0× 760 0.8× 659 1.0× 353 0.6× 167 5.5k
Takehiko Watanabe Japan 43 2.7k 1.8× 806 0.6× 156 0.2× 826 1.3× 140 0.2× 193 6.7k
Robert Blum Germany 38 2.7k 1.8× 256 0.2× 672 0.7× 1.9k 2.9× 454 0.7× 138 6.2k
Yudong Zhou China 45 2.3k 1.5× 386 0.3× 175 0.2× 932 1.4× 410 0.7× 186 5.8k
Joris Winderickx Belgium 53 6.5k 4.3× 270 0.2× 857 0.9× 675 1.0× 306 0.5× 158 8.8k
Chunfu Wu China 54 4.8k 3.1× 331 0.3× 214 0.2× 2.6k 4.0× 121 0.2× 246 10.0k
Wenjun Li China 43 1.9k 1.2× 697 0.5× 102 0.1× 632 1.0× 48 0.1× 186 5.0k
Douglas J. MacNeil United States 37 2.1k 1.4× 1.0k 0.8× 60 0.1× 946 1.4× 239 0.4× 81 5.8k
Zheng Chen China 46 5.0k 3.3× 309 0.2× 284 0.3× 1.3k 2.0× 84 0.1× 278 8.8k
So Young Lee South Korea 38 1.7k 1.1× 394 0.3× 77 0.1× 1.1k 1.7× 125 0.2× 128 5.3k

Countries citing papers authored by Charles C. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Charles C. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles C. 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 Charles C. Lee. The network helps show where Charles C. Lee may publish in the future.

Co-authorship network of co-authors of Charles C. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Charles C. Lee. A scholar is included among the top collaborators of Charles C. 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 Charles C. Lee. Charles C. 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.
Kim, Kee D., et al.. (2025). In Vivo Performance of a Novel Hyper-Crosslinked Carbohydrate Polymer Bone Graft Substitute for Spinal Fusion. Bioengineering. 12(3). 243–243. 1 indexed citations
2.
Amin, Abdulbasit, et al.. (2022). Cholecalciferol (VD3) Attenuates L-DOPA-Induced Dyskinesia in Parkinsonian Mice Via Modulation of Microglia and Oxido-Inflammatory Mechanisms.. Nigerian Journal of Physiological Sciences. 37(2). 175–183. 2 indexed citations
3.
Choi, Junseo, Charles C. Lee, & Sunggook Park. (2019). Scalable fabrication of sub-10 nm polymer nanopores for DNA analysis. Microsystems & Nanoengineering. 5(1). 12–12. 37 indexed citations
4.
Lee, Charles C., et al.. (2017). 5-(3′,4′-Dihydroxyphenyl-γ-valerolactone), a Major Microbial Metabolite of Proanthocyanidin, Attenuates THP-1 Monocyte-Endothelial Adhesion. International Journal of Molecular Sciences. 18(7). 1363–1363. 60 indexed citations
5.
Son, Joe Eun, Jae Hwan Kim, Charles C. Lee, et al.. (2017). Gingerenone A Attenuates Monocyte‐Endothelial Adhesion via Suppression of I Kappa B Kinase Phosphorylation. Journal of Cellular Biochemistry. 119(1). 260–268. 24 indexed citations
7.
Lim, Tae‐Gyu, Charles C. Lee, Zigang Dong, & Ki Won Lee. (2015). Ginsenosides and their metabolites: a review of their pharmacological activities in the skin. Archives of Dermatological Research. 307(5). 397–403. 27 indexed citations
8.
Lee, Charles C.. (2015). Exploring functions for the non-lemniscal auditory thalamus. Frontiers in Neural Circuits. 9. 69–69. 43 indexed citations
9.
Jordan, Douglas B., et al.. (2015). Isolation and divalent-metal activation of a β-xylosidase, RUM630-BX. Enzyme and Microbial Technology. 82. 158–163. 10 indexed citations
10.
Jordan, Douglas B., Charles C. Lee, Kurt Wagschal, & Jay D. Braker. (2013). Activation of a GH43 β-xylosidase by divalent metal cations: Slow binding of divalent metal and high substrate specificity. Archives of Biochemistry and Biophysics. 533(1-2). 79–87. 13 indexed citations
11.
Majeed, Tazeen, Romana Tabassum, William J. Orts, & Charles C. Lee. (2013). Expression and Characterization of Coprothermobacter proteolyticus Alkaline Serine Protease. The Scientific World JOURNAL. 2013(1). 396156–396156. 12 indexed citations
12.
Lee, Charles C.. (2012). Thalamic and cortical pathways supporting auditory processing. Brain and Language. 126(1). 22–28. 43 indexed citations
13.
Lee, Charles C.. (2010). Drivers and modulators in the central auditory pathways. Frontiers in Neuroscience. 4. 79–79. 51 indexed citations
14.
Matsui, Makoto, Yuki Kobayashi, Masato Otagiri, et al.. (2010). High-throughput recombinant gene expression systems in Pichia pastoris using newly developed plasmid vectors. Plasmid. 65(1). 65–69. 19 indexed citations
15.
Wagschal, Kurt, et al.. (2008). Purification and Characterization of a Glycoside Hydrolase Family 43 β-xylosidase from Geobacillus thermoleovorans IT-08. Applied Biochemistry and Biotechnology. 155(1-3). 1–10. 40 indexed citations
16.
Wagschal, Kurt, Charles C. Lee, Que Kong, et al.. (2008). The construction and characterization of two xylan‐degrading chimeric enzymes. Biotechnology and Bioengineering. 102(3). 684–692. 38 indexed citations
17.
Lee, Charles C., et al.. (2008). An α-Glucuronidase Enzyme Activity Assay Adaptable for Solid Phase Screening. Applied Biochemistry and Biotechnology. 155(1-3). 11–17. 10 indexed citations
18.
Lee, Charles C. & Jeffery A. Winer. (2005). Principles Governing Auditory Cortex Connections. Cerebral Cortex. 15(11). 1804–1814. 59 indexed citations
19.
Wong, Dominic W. S., et al.. (2004). High-Activity Barley \bold\ralpha-Amylase by Directed Evolution. The Protein Journal. 23(7). 453–460. 14 indexed citations
20.
Lee, Charles C., Dominic W. S. Wong, & George H. Robertson. (2001). Cloning and characterization of two cellulase genes from Lentinula edodes. FEMS Microbiology Letters. 205(2). 355–360. 26 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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