Chan-Ju Lee

458 total citations
7 papers, 153 citations indexed

About

Chan-Ju Lee is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chan-Ju Lee has authored 7 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chan-Ju Lee's work include Cancer, Hypoxia, and Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and RNA modifications and cancer (1 paper). Chan-Ju Lee is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and RNA modifications and cancer (1 paper). Chan-Ju Lee collaborates with scholars based in South Korea, United States and India. Chan-Ju Lee's co-authors include Beom-Ju Hong, G‐One Ahn, Seoyeon Bok, Young-Eun Kim, Il Han Kim, Irving L. Weissman, John P. Cooke, Nicholas J. Leeper, J. Martin Brown and Jun Seita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Scientific Reports.

In The Last Decade

Chan-Ju Lee

5 papers receiving 152 citations

Peers

Chan-Ju Lee
Comparison fields: 5 of 54
  • Molecular Biology 66
  • Cancer Research 55
  • Immunology 29
  • Pulmonary and Respiratory Medicine 20
  • Radiology, Nuclear Medicine and Imaging 20
Replace Young-Ji Na with:
Young-Ji Na United States
Jakob Admard Germany
Hyemi Shin South Korea
Nikolaos E. Efstathiou United States
Minjie Fu China
Taylor M. Parker United States
Jesús Gómez-Escudero Spain
Reidun Kristin Kopperud Norway
Petra Lujza Szabó Austria
Young-Ji Na United States View profile →
Citations per field, relative to Chan-Ju Lee
Chan-Ju Lee · 1×
Citations per year, relative to Chan-Ju Lee
Chan-Ju Lee · 1×

Countries citing papers authored by Chan-Ju Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chan-Ju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan-Ju 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 Chan-Ju Lee. The network helps show where Chan-Ju Lee may publish in the future.

Co-authorship network of co-authors of Chan-Ju Lee

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 0
2 12
3 0
4 28
5 8
6 11
7 94

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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