Insuk Lee
- Molecular Biology top 1%
- Genetics top 1%
- Cancer Research top 2%
- Plant Science top 5%
- Immunology top 5%
- Co-authors
- Edward M. MarcotteSohyun HwangJung Eun ShimEiru KimSunmo YangChan Yeong KimShailesh V. DateAlex Adai
- Topics
- Bioinformatics and Genomic Networks (60 papers)Gene expression and cancer classification (31 papers)Genomics and Phylogenetic Studies (19 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Insuk Lee
132 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Molecular Biology 5.4k
- Genetics 1.2k
- Cancer Research 785
- Plant Science 698
- Immunology 591
Countries citing papers authored by Insuk Lee
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 38 | |
| 11 | 45 | |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | A New Approach to Management Studies：Application of Positive Psychology | 0 |
| 16 | Board Attributes and Firm Performance：Revisiting Board’s Roles | 1 |
| 17 | A Study on the Effect of Job Burnout- Based on the Professions Working in Financial Companies | 4 |
| 18 | Asymptotic Relative Efficiencies of the Nonparametric Relative Risk Estimators for the Two Sample Proportional Hazard Model | 0 |
| 19 | Comparison of Interval Estimations for P(X | 1 |
| 20 | Multi-Level Skip-Lot Sampling Plan-Average Fraction Inspected Properties | 1 |
About Insuk Lee
Insuk Lee is a scholar working on Aging, Molecular Biology and Leadership and Management, having authored 148 papers that have together received 7.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (60 papers), Gene expression and cancer classification (31 papers) and Genomics and Phylogenetic Studies (19 papers). The work is most often cited by research in Molecular Biology (5.4k citations), Aging (130 citations) and Cancer Research (785 citations). Insuk Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.