Kuo-Bin Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Protein Structure and Dynamics
Papers in
-
- Machine Learning in Bioinformatics 11
- RNA and protein synthesis mechanisms 7
- Genomics and Phylogenetic Studies 5
- Protein Structure and Dynamics 4
- Fractal and DNA sequence analysis 3
- Molecular Biology Techniques and Applications 2
- Genetics 2
- Genomics and Rare Diseases 1
- Co-authors
- Yuping Wang (2 shared papers)Yen-Kuang Chen (1 shared paper)Arun V. Krishnan (5 shared papers)Yuchen Yang (3 shared papers)Erwin Tantoso (3 shared papers)Puay‐Hoon Tan (2 shared papers)Boon‐Huat Bay (2 shared papers)Gek Huey Chua (1 shared paper)
In The Last Decade
Kuo-Bin Li
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 158
- Molecular Biology 752
- Information Systems and Management 22
- Genetics 72
- Computational Theory and Mathematics 45
Countries citing papers authored by Kuo-Bin Li
This map shows the geographic impact of Kuo-Bin Li'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 Kuo-Bin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo-Bin Li more than expected).
Fields of papers citing papers by Kuo-Bin Li
This network shows the impact of papers produced by Kuo-Bin Li. 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 Kuo-Bin Li. The network helps show where Kuo-Bin Li may publish in the future.
Co-authors
The 21 scholars most cited alongside Kuo-Bin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 360 | |
| 2 | 2012 | 126 | |
| 3 | 2004 | 120 | |
| 4 | 2009 | 113 | |
| 5 | 2005 | 74 | |
| 6 | 2005 | 67 | |
| 7 | 2008 | 59 | |
| 8 | 2005 | 49 | |
| 9 | 2007 | 33 | |
| 10 | 2008 | 26 | |
| 11 | 2004 | 17 | |
| 12 | 2016 | 14 | |
| 13 | 2006 | 12 | |
| 14 | 2005 | 7 | |
| 15 | 2008 | 5 | |
| 16 | 2005 | 2 | |
| 17 | 2005 | 2 | |
| 18 | 2006 | 1 |
About Kuo-Bin Li
Kuo-Bin Li is a scholar working on Molecular Biology, Genetics, Cancer Research, Computer Networks and Communications and Oncology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (5 papers), Protein Structure and Dynamics (4 papers), Fractal and DNA sequence analysis (3 papers), MicroRNA in disease regulation (2 papers), Molecular Biology Techniques and Applications (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Cancer Research (158 citations), Molecular Biology (752 citations), Information Systems and Management (22 citations), Genetics (72 citations) and Computational Theory and Mathematics (45 citations). Kuo-Bin Li has collaborated with scholars based in Singapore, Taiwan and Japan. Frequent co-authors include Yuping Wang, Yen-Kuang Chen, Arun V. Krishnan, Yuchen Yang, Erwin Tantoso, Puay‐Hoon Tan, Boon‐Huat Bay, Gek Huey Chua, Wing‐Kin Sung and Jiren Wang. Their work appears in journals such as BMC Bioinformatics, Journal of Bioinformatics and Computational Biology, Amino Acids, In Silico Biology and Journal of Theoretical Biology.
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.