Yoichi Takenaka
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- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 6
- Gene Regulatory Network Analysis 4
- Machine Learning in Bioinformatics 3
- Genomics and Chromatin Dynamics 3
- Genomics and Phylogenetic Studies 2
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- Algorithms and Data Compression 3
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- Genetic Syndromes and Imprinting 2
- Co-authors
- Hideo MatsudaShigeto SenoTakeshi TsuchiyaHideyuki TaguchiHideya KawajiNobuo FunabikiShuji TakiguchiHiroshi Miyata
- Journals
- BMC Genomics (2 papers)Journal of Bioinformatics and Computational Biology (2 papers)Gene (1 paper)
- Partner nations
- Japan
In The Last Decade
Yoichi Takenaka
23 papers receiving 199 citations
Peers
Comparison fields: 5 of 69
- Gastroenterology 8
- Molecular Biology 100
- Artificial Intelligence 34
- Applied Mathematics 11
- Horticulture 1
Countries citing papers authored by Yoichi Takenaka
This map shows the geographic impact of Yoichi Takenaka'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 Yoichi Takenaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Takenaka more than expected).
Fields of papers citing papers by Yoichi Takenaka
This network shows the impact of papers produced by Yoichi Takenaka. 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 Yoichi Takenaka. The network helps show where Yoichi Takenaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoichi Takenaka, 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 | 2018 | 10 | |
| 2 | 2017 | 2 | |
| 3 | 2016 | 2 | |
| 4 | 2014 | 2 | |
| 5 | 2012 | 3 | |
| 6 | 2012 | 15 | |
| 7 | 2012 | 6 | |
| 8 | 2011 | 10 | |
| 9 | 2011 | 18 | |
| 10 | 2010 | 1 | |
| 11 | 2009 | 43 | |
| 12 | 2007 | 3 | |
| 13 | 2007 | 33 | |
| 14 | 2007 | 0 | |
| 15 | 2006 | 4 | |
| 16 | 2004 | 25 | |
| 17 | 2000 | 1 | |
| 18 | An Application of Convex Hull to Genetic Algorithm for Traveling Salesman Problem | 1998 | 1 |
| 19 | 1997 | 8 | |
| 20 | Maximum Neural Network Algorithms for N-Queen Problems | 1996 | 0 |
About Yoichi Takenaka
Yoichi Takenaka is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems and Management, Computer Networks and Communications and Computational Theory and Mathematics, having authored 27 papers that have together received 207 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (6 papers), Gene Regulatory Network Analysis (4 papers), Machine Learning in Bioinformatics (3 papers), Algorithms and Data Compression (3 papers), Genomics and Chromatin Dynamics (3 papers), Genetic Syndromes and Imprinting (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Gastroenterology (8 citations), Molecular Biology (100 citations), Artificial Intelligence (34 citations), Applied Mathematics (11 citations) and Horticulture (1 citation). Yoichi Takenaka has collaborated with scholars based in Japan. Frequent co-authors include Hideo Matsuda, Shigeto Seno, Takeshi Tsuchiya, Hideyuki Taguchi, Hideya Kawaji, Nobuo Funabiki, Shuji Takiguchi, Hiroshi Miyata, Atsushi Takeno and Morito Monden. Their work appears in journals such as BMC Genomics, Journal of Bioinformatics and Computational Biology, Gene, PLoS Genetics and Bioinformatics.
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.