Chung‐Gi Lee

641 total citations
14 papers, 526 citations indexed

About

Chung‐Gi Lee is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Chung‐Gi Lee has authored 14 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology. Recurrent topics in Chung‐Gi Lee's work include Cancer Treatment and Pharmacology (6 papers), T-cell and B-cell Immunology (4 papers) and Fungal Biology and Applications (3 papers). Chung‐Gi Lee is often cited by papers focused on Cancer Treatment and Pharmacology (6 papers), T-cell and B-cell Immunology (4 papers) and Fungal Biology and Applications (3 papers). Chung‐Gi Lee collaborates with scholars based in South Korea, Japan and United States. Chung‐Gi Lee's co-authors include Manabu Sugai, Tomoya Katakai, Yoshifumi Yokota, Hiroyuki Gonda, Yukiko Nambu, Yasutoshi Agata, Akira Shimizu, Tasuku Honjo, Jin-Hyun Kim and Kazuo Kinoshita and has published in prestigious journals such as Science, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Chung‐Gi Lee

14 papers receiving 517 citations

Peers

Chung‐Gi Lee
Rahul R. Deshmukh United States
Motomu Shimizu Japan
Nobuto Koyama Japan
Guillaume Marcion France
Martin Löewer Germany
Anastasia R. Goloudina France
Alejandro J. Cagnoni Argentina
Indranil Basu United States
Jeremy Griggs United Kingdom
Rosalba Rana Italy
Rahul R. Deshmukh United States
Chung‐Gi Lee
Citations per year, relative to Chung‐Gi Lee Chung‐Gi Lee (= 1×) peers Rahul R. Deshmukh

Countries citing papers authored by Chung‐Gi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Gi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung‐Gi Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Gi Lee. A scholar is included among the top collaborators of Chung‐Gi 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 Chung‐Gi Lee. Chung‐Gi Lee 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.
2.
Kim, Hyoung‐Geun, Eunha Park, Kwang Joong Kim, et al.. (2021). Antioxidant and anti-inflammatory effects in lipopolysaccharide-induced THP-1 cells of coumarins from the bark of Hesperethusa crenulata R.. Applied Biological Chemistry. 64(1). 6 indexed citations
3.
Lee, Chung‐Gi & Jin-Hyun Kim. (2017). A kinetic and thermodynamic study of fractional precipitation of paclitaxel from Taxus chinensis. Process Biochemistry. 59. 216–222. 21 indexed citations
4.
Lee, Chung‐Gi & Jin-Hyun Kim. (2016). Increasing the efficiency of the separation and purification process for paclitaxel by pre-treatment with water. Process Biochemistry. 51(10). 1738–1743. 8 indexed citations
5.
Lee, Chung‐Gi & Jin‐Hyun Kim. (2016). Separation Behavior of Paclitaxel and Its Semi-synthetic Precursor 10-Deacetylpaclitaxel from Plant Cell Cultures. Korean Chemical Engineering Research. 54(1). 89–93. 6 indexed citations
6.
7.
Lee, Chung‐Gi & Jin-Hyun Kim. (2015). Improved drying method for removal of residual solvents from paclitaxel by pre-treatment with ethanol and water. Process Biochemistry. 50(6). 1031–1036. 12 indexed citations
8.
Lee, Chung‐Gi & Jin-Hyun Kim. (2014). Improved fractional precipitation method for purification of paclitaxel. Process Biochemistry. 49(8). 1370–1376. 13 indexed citations
9.
Lee, Chung‐Gi & Jin-Hyun Kim. (2014). Optimization of Adsorbent Treatment Process for the Purification of Paclitaxel from Plant Cell Cultures of Taxus chinensis. Korean Chemical Engineering Research. 52(4). 497–502. 7 indexed citations
10.
Lee, Chung‐Gi, Bikul Das, Tara L. Lin, et al.. (2012). A rare fraction of drug‐resistant follicular lymphoma cancer stem cells interacts with follicular dendritic cells to maintain tumourigenic potential. British Journal of Haematology. 158(1). 79–90. 47 indexed citations
11.
Nambu, Yukiko, Manabu Sugai, Hiroyuki Gonda, et al.. (2003). Transcription-Coupled Events Associating with Immunoglobulin Switch Region Chromatin. Science. 302(5653). 2137–2140. 218 indexed citations
12.
Lee, Chung‐Gi, et al.. (2001). Quantitative Regulation of Class Switch Recombination by Switch Region Transcription. The Journal of Experimental Medicine. 194(3). 365–374. 59 indexed citations
13.
Kinoshita, Kazuo, Junko Tashiro, Shuhei Tomita, Chung‐Gi Lee, & Tasuku Honjo. (1998). Target Specificity of Immunoglobulin Class Switch Recombination Is Not Determined by Nucleotide Sequences of S Regions. Immunity. 9(6). 849–858. 63 indexed citations
14.
Lee, Chung‐Gi, Shigeru Kondo, & Tasuku Honjo. (1998). Frequent but biased class switch recombination in the Sμ flanking regions. Current Biology. 8(4). 227–231. 47 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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2026