Yasuo Tabei
Impact in
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- Computational Drug Discovery Methods
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- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
Papers in
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- Genomics and Phylogenetic Studies 8
- Bioinformatics and Genomic Networks 6
- Microbial Metabolic Engineering and Bioproduction 5
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- Algorithms and Data Compression 15
- Natural Language Processing Techniques 5
- Co-authors
- Yoshihiro Yamanishi (14 shared papers)Kiyoshi Asai (4 shared papers)Taishin Kin (3 shared papers)Hisanori Kiryu (2 shared papers)Masaaki Kotera (8 shared papers)Koji Tsuda (5 shared papers)Ryusuke Sawada (3 shared papers)Véronique Stoven (1 shared paper)
In The Last Decade
Yasuo Tabei
41 papers receiving 646 citations
Peers
Comparison fields: 5 of 90
- Computational Theory and Mathematics 256
- Molecular Biology 479
- Computational Mathematics 2
- Pharmacology 51
- Artificial Intelligence 88
Countries citing papers authored by Yasuo Tabei
This map shows the geographic impact of Yasuo Tabei'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 Yasuo Tabei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Tabei more than expected).
Fields of papers citing papers by Yasuo Tabei
This network shows the impact of papers produced by Yasuo Tabei. 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 Yasuo Tabei. The network helps show where Yasuo Tabei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yasuo Tabei, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 92 | |
| 2 | 2012 | 74 | |
| 3 | 2007 | 58 | |
| 4 | 2018 | 43 | |
| 5 | 2006 | 38 | |
| 6 | 2017 | 37 | |
| 7 | 2013 | 34 | |
| 8 | 2013 | 34 | |
| 9 | 2013 | 25 | |
| 10 | 2019 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2011 | 20 | |
| 13 | 2019 | 15 | |
| 14 | 2015 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 12 | |
| 18 | 2011 | 11 | |
| 19 | 2014 | 11 | |
| 20 | Single versus Multiple Sorting in All Pairs Similarity Search | 2010 | 10 |
About Yasuo Tabei
Yasuo Tabei is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 661 indexed citations. Recurring topics across this work include Algorithms and Data Compression (15 papers), Computational Drug Discovery Methods (11 papers), Data Management and Algorithms (8 papers), Genomics and Phylogenetic Studies (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Bioinformatics and Genomic Networks (6 papers), Natural Language Processing Techniques (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Computational Theory and Mathematics (256 citations), Molecular Biology (479 citations), Computational Mathematics (2 citations), Pharmacology (51 citations) and Artificial Intelligence (88 citations). Yasuo Tabei has collaborated with scholars based in Japan, Finland and Chile. Frequent co-authors include Yoshihiro Yamanishi, Kiyoshi Asai, Taishin Kin, Hisanori Kiryu, Masaaki Kotera, Koji Tsuda, Ryusuke Sawada, Véronique Stoven, Susumu Goto and Edouard Pauwels. Their work appears in journals such as Bioinformatics, BMC Systems Biology, Information and Computation, Molecular Informatics and Scientific Reports.
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.