Insuk Lee

12.3k total citations · 3 hit papers
148 papers, 7.6k citations indexed

About

Insuk Lee is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Insuk Lee has authored 148 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 18 papers in Genetics and 12 papers in Oncology. Recurrent topics in Insuk Lee's work include Bioinformatics and Genomic Networks (60 papers), Gene expression and cancer classification (31 papers) and Genomics and Phylogenetic Studies (19 papers). Insuk Lee is often cited by papers focused on Bioinformatics and Genomic Networks (60 papers), Gene expression and cancer classification (31 papers) and Genomics and Phylogenetic Studies (19 papers). Insuk Lee collaborates with scholars based in South Korea, United States and United Kingdom. Insuk Lee's co-authors include Edward M. Marcotte, Sohyun Hwang, Jung Eun Shim, Eiru Kim, Sunmo Yang, Chan Yeong Kim, Shailesh V. Date, Alex Adai, Hyojin Kim and Matthew E. Hurles and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Insuk Lee

132 papers receiving 7.4k citations

Hit Papers

TRRUST v2: an expanded reference d... 2004 2026 2011 2018 2017 2004 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Insuk Lee South Korea 40 5.4k 1.2k 785 698 591 148 7.6k
Wing‐Kin Sung Singapore 45 6.5k 1.2× 1.3k 1.0× 1.1k 1.4× 823 1.2× 692 1.2× 211 8.6k
Daniele Merico Canada 31 3.8k 0.7× 1.6k 1.3× 1.1k 1.4× 372 0.5× 719 1.2× 78 6.6k
Ben Lehner Spain 53 7.1k 1.3× 2.3k 1.8× 1.2k 1.5× 655 0.9× 281 0.5× 119 9.1k
Helen Parkinson United Kingdom 32 6.1k 1.1× 2.8k 2.2× 942 1.2× 419 0.6× 446 0.8× 113 9.1k
Frank C. P. Holstege Netherlands 54 8.9k 1.6× 1.1k 0.9× 835 1.1× 722 1.0× 801 1.4× 156 11.1k
Sridhar Hannenhalli United States 43 4.7k 0.9× 1.8k 1.5× 512 0.7× 834 1.2× 586 1.0× 148 6.4k
Jennifer Listgarten United States 26 4.1k 0.8× 1.4k 1.2× 283 0.4× 587 0.8× 543 0.9× 51 6.1k
Suzanna Lewis United States 36 8.4k 1.5× 1.8k 1.4× 648 0.8× 1.2k 1.7× 467 0.8× 63 10.9k
Nathan E. Lewis United States 51 9.4k 1.7× 1.5k 1.2× 532 0.7× 305 0.4× 608 1.0× 181 11.9k

Countries citing papers authored by Insuk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Insuk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Insuk Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Insuk Lee. A scholar is included among the top collaborators of Insuk 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 Insuk Lee. Insuk 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.
Hong, Min Hee, Gamin Kim, Yoon Woo Koh, et al.. (2025). Comparative single‐cell analysis of esophageal cancer subtypes reveals tumor microenvironment distinctions explaining varied immunotherapy responses. Cancer Communications. 45(9). 1194–1199. 2 indexed citations
2.
Sim, Nam Suk, Gamin Kim, Dahee Kim, et al.. (2025). 4-1BB+ Tregs and inhibitory progenitor exhausted T cells confer resistance to anti-PD-L1 and anti-CTLA-4 combination therapy. Cell Reports Medicine. 6(10). 102408–102408.
3.
Song, Kyungwoo, et al.. (2025). Single-cell foundation models: bringing artificial intelligence into cell biology. Experimental & Molecular Medicine. 57(10). 2169–2181. 1 indexed citations
4.
Gupta, Vinod K., Benjamin Hur, Kevin Y. Cunningham, et al.. (2024). Gut Microbiome Wellness Index 2 enhances health status prediction from gut microbiome taxonomic profiles. Nature Communications. 15(1). 7447–7447. 14 indexed citations
5.
Nguyen, Hai P., Yien–Ming Kuo, Sarah Fong, et al.. (2024). Integrative single-cell characterization of a frugivorous and an insectivorous bat kidney and pancreas. Nature Communications. 15(1). 12–12. 13 indexed citations
6.
Lee, Insuk, et al.. (2023). The effects and challenges of alcohol use disorder peer support service in South Korea: A focus group study. International Journal of Mental Health Nursing. 33(1). 159–165. 1 indexed citations
7.
Cho, Jae-Won, et al.. (2022). scHumanNet: a single-cell network analysis platform for the study of cell-type specificity of disease genes. Nucleic Acids Research. 51(2). e8–e8. 10 indexed citations
8.
Kwon, Kee Woong, Kyung Soo Kim, Insuk Lee, et al.. (2022). Viral coinfection promotes tuberculosis immunopathogenesis by type I IFN signaling-dependent impediment of Th1 cell pulmonary influx. Nature Communications. 13(1). 3155–3155. 19 indexed citations
9.
Lee, Insuk, et al.. (2020). A Study on the Internet Game and Smartphone Usage of the Senior Elementary School Students. Journal of the Korea Academia-Industrial cooperation Society. 21(10). 421–432. 2 indexed citations
10.
Son, Jimin, Jihyun Moon, Hoyoung Lee, et al.. (2020). Tumor-Infiltrating Regulatory T-cell Accumulation in the Tumor Microenvironment Is Mediated by IL33/ST2 Signaling. Cancer Immunology Research. 8(11). 1393–1406. 38 indexed citations
11.
Cho, A‐Ra, Junha Shin, Sohyun Hwang, et al.. (2014). WormNet v3: a network-assisted hypothesis-generating server for Caenorhabditis elegans. Nucleic Acids Research. 42(W1). W76–W82. 45 indexed citations
12.
Shin, Junha, Tak Lee, Hanhae Kim, & Insuk Lee. (2013). Complementarity between distance- and probability-based methods of gene neighbourhood identification for pathway reconstruction. Molecular BioSystems. 10(1). 24–29. 20 indexed citations
13.
Lee, Insuk, et al.. (2013). The Production Process of Whole Garments and the Development Case of Knitwear - Focused on the SWG-X machine -. Fashion business. 17(1). 81–97. 4 indexed citations
14.
Kim, Eiru, Jae‐Yoon Shin, & Insuk Lee. (2010). Assessment of effectiveness of the network-guided genetic screen. Molecular BioSystems. 6(10). 1803–1806. 3 indexed citations
15.
Lee, Dongseop, et al.. (2009). A New Approach to Management Studies:Application of Positive Psychology. 17(2). 307–339.
16.
Lee, Insuk, et al.. (2009). Board Attributes and Firm Performance:Revisiting Board’s Roles. 17(2). 195–228. 1 indexed citations
17.
Lee, Insuk, et al.. (2007). A Study on the Effect of Job Burnout- Based on the Professions Working in Financial Companies. Korean Journal of Business Administration. 20(6). 2879–2900. 4 indexed citations
18.
Cho, Kil Ho, et al.. (1999). Asymptotic Relative Efficiencies of the Nonparametric Relative Risk Estimators for the Two Sample Proportional Hazard Model. Journal of the Korean Data and Information Science Society. 10(1). 103–110.
19.
Lee, Insuk, et al.. (1996). Comparison of Interval Estimations for P(XJournal of the Korean Data and Information Science Society. 7(1). 93–104. 1 indexed citations
20.
Lee, Insuk, et al.. (1996). Multi-Level Skip-Lot Sampling Plan-Average Fraction Inspected Properties. Communications for Statistical Applications and Methods. 3(2). 151–159. 1 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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