Lee Sael
Impact in
- Computational Mathematics top 0.5%
- Tensor decomposition and applications
- Structural Biology top 5%
Papers in
-
- Protein Structure and Dynamics 16
- Machine Learning in Bioinformatics 9
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 6
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- Algorithms and Data Compression 5
- Co-authors
- Daisuke Kihara (16 shared papers)U Kang (12 shared papers)Vishwesh Venkatraman (3 shared papers)Jinhong Jung (5 shared papers)Yi‐Feng Yang (1 shared paper)Kijung Shin (4 shared papers)David La (3 shared papers)Rayan Chikhi (3 shared papers)
- Journals
- Bioinformatics (4 papers)BMC Bioinformatics (4 papers)Proteins Structure Function and Bioinformatics (4 papers)PLoS ONE (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Lee Sael
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Computational Mathematics 146
- Structural Biology 35
- Computational Theory and Mathematics 278
- Statistical and Nonlinear Physics 115
- Molecular Biology 617
Countries citing papers authored by Lee Sael
This map shows the geographic impact of Lee Sael'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 Lee Sael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Sael more than expected).
Fields of papers citing papers by Lee Sael
This network shows the impact of papers produced by Lee Sael. 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 Lee Sael. The network helps show where Lee Sael may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Sael, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 157 | |
| 2 | 2008 | 98 | |
| 3 | 2009 | 74 | |
| 4 | 2011 | 66 | |
| 5 | 2009 | 61 | |
| 6 | 2008 | 60 | |
| 7 | 2015 | 57 | |
| 8 | 2016 | 54 | |
| 9 | 2011 | 51 | |
| 10 | 2010 | 48 | |
| 11 | 2021 | 45 | |
| 12 | 2016 | 44 | |
| 13 | 2016 | 40 | |
| 14 | 2020 | 37 | |
| 15 | 2021 | 37 | |
| 16 | 2017 | 37 | |
| 17 | 2010 | 28 | |
| 18 | 2012 | 25 | |
| 19 | 2010 | 24 | |
| 20 | 2016 | 24 |
About Lee Sael
Lee Sael is a scholar working on Molecular Biology, Artificial Intelligence, Computational Mathematics, Materials Chemistry and Computational Theory and Mathematics, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Tensor decomposition and applications (10 papers), Machine Learning in Bioinformatics (9 papers), Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (8 papers), Enzyme Structure and Function (7 papers), Gene expression and cancer classification (6 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Computational Mathematics (146 citations), Structural Biology (35 citations), Computational Theory and Mathematics (278 citations), Statistical and Nonlinear Physics (115 citations) and Molecular Biology (617 citations). Lee Sael has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Daisuke Kihara, U Kang, Vishwesh Venkatraman, Jinhong Jung, Yi‐Feng Yang, Kijung Shin, David La, Rayan Chikhi, Juan Esquivel‐Rodríguez and Raif M. Rustamov. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Proteins Structure Function and Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.
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.