Chang‐Wook Lee

2.8k total citations · 2 hit papers
21 papers, 2.3k citations indexed

About

Chang‐Wook Lee is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Chang‐Wook Lee has authored 21 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Immunology. Recurrent topics in Chang‐Wook Lee's work include Sphingolipid Metabolism and Signaling (11 papers), Lipid Membrane Structure and Behavior (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Chang‐Wook Lee is often cited by papers focused on Sphingolipid Metabolism and Signaling (11 papers), Lipid Membrane Structure and Behavior (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Chang‐Wook Lee collaborates with scholars based in United States, South Korea and Singapore. Chang‐Wook Lee's co-authors include Jerold Chun, Richard Rivera, Deron R. Herr, Ji Woong Choi, Kyoko Noguchi, Adrienne E. Dubin, Yun C. Yung, Mu‐En Lin, Tetsuji Mutoh and Grace Kennedy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Langmuir.

In The Last Decade

Chang‐Wook Lee

20 papers receiving 2.3k citations

Hit Papers

LPA Receptors: Subtypes and Biological Actions 2010 2026 2015 2020 2010 2010 200 400 600

Peers

Chang‐Wook Lee
Comparison fields: 5 of 100
  • Molecular Biology 1.9k
  • Cell Biology 436
  • Oncology 292
  • Physiology 277
  • Immunology 230
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Citations per field, relative to Chang‐Wook Lee
Chang‐Wook Lee · 1×
Citations per year, relative to Chang‐Wook Lee
Chang‐Wook Lee · 1×

Countries citing papers authored by Chang‐Wook Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Wook Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Wook Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Wook Lee. A scholar is included among the top collaborators of Chang‐Wook 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 Chang‐Wook Lee. Chang‐Wook 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
# Work Indexed citations
1 0
2 1
3 5
4 82
5 5
6 44
7 36
8 5
9 2
10 26
11 48
12
FTY720 (fingolimod) efficacy in an animal model of multiple sclerosis requires astrocyte sphingosine 1-phosphate receptor 1 (S1P 1 ) modulation breakdown →
489
13 47
14
LPA Receptors: Subtypes and Biological Actions breakdown →
678
15 8
16 20
17 138
18 383
19 29
20 36

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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