Hiroto Saigo
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in
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- Machine Learning in Bioinformatics 14
- Bioinformatics and Genomic Networks 5
- Protein Structure and Dynamics 4
- Metabolomics and Mass Spectrometry Studies 4
- Genomics and Phylogenetic Studies 4
- Gene expression and cancer classification 3
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- Computational Drug Discovery Methods 10
- Co-authors
- Pierre Baldi (3 shared papers)Jean‐Philippe Vert (5 shared papers)Tatsuya Akutsu (5 shared papers)Nobuhisa Ueda (3 shared papers)S. Joshua Swamidass (2 shared papers)Liva Ralaivola (1 shared paper)Koji Tsuda (11 shared papers)Jianlin Cheng (2 shared papers)
- Journals
- BMC Bioinformatics (5 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Bioinformatics (2 papers)Journal of Chemical Information and Modeling (2 papers)Computational and Structural Biotechnology Journal (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Hiroto Saigo
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Computational Theory and Mathematics 385
- Molecular Biology 877
- Artificial Intelligence 386
- Computer Vision and Pattern Recognition 193
- Computational Mathematics 5
Countries citing papers authored by Hiroto Saigo
This map shows the geographic impact of Hiroto Saigo'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 Hiroto Saigo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroto Saigo more than expected).
Fields of papers citing papers by Hiroto Saigo
This network shows the impact of papers produced by Hiroto Saigo. 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 Hiroto Saigo. The network helps show where Hiroto Saigo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroto Saigo, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 329 | |
| 2 | 2004 | 280 | |
| 3 | 2005 | 130 | |
| 4 | 2005 | 116 | |
| 5 | 2008 | 104 | |
| 6 | 2011 | 60 | |
| 7 | 2020 | 58 | |
| 8 | 2008 | 54 | |
| 9 | 2004 | 43 | |
| 10 | 2007 | 34 | |
| 11 | 2019 | 34 | |
| 12 | 2006 | 33 | |
| 13 | 2017 | 24 | |
| 14 | 2006 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2023 | 22 | |
| 17 | 2020 | 18 | |
| 18 | 2011 | 17 | |
| 19 | 2016 | 17 | |
| 20 | A Linear Programming Approach for Molecular QSAR analysis | 2006 | 15 |
About Hiroto Saigo
Hiroto Saigo is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Spectroscopy and Information Systems, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (14 papers), Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Protein Structure and Dynamics (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Genomics and Phylogenetic Studies (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Computational Theory and Mathematics (385 citations), Molecular Biology (877 citations), Artificial Intelligence (386 citations), Computer Vision and Pattern Recognition (193 citations) and Computational Mathematics (5 citations). Hiroto Saigo has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Pierre Baldi, Jean‐Philippe Vert, Tatsuya Akutsu, Nobuhisa Ueda, S. Joshua Swamidass, Liva Ralaivola, Koji Tsuda, Jianlin Cheng, Dukka B. KC and Robert H. Newman. Their work appears in journals such as BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bioinformatics, Journal of Chemical Information and Modeling and Computational and Structural Biotechnology Journal.
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.