Ryo Kunimoto
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 4
- Chemical Synthesis and Analysis 3
- RNA Research and Splicing 2
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- Computational Drug Discovery Methods 15
- Co-authors
- Gozoh Tsujimoto (4 shared papers)Jürgen Bajorath (15 shared papers)Kazuki Toki (1 shared paper)Kenryu Nishiyama (1 shared paper)Takeshi Chiyomaru (1 shared paper)Hideki Enokida (1 shared paper)Naohiko Seki (1 shared paper)Kazumori Kawakami (1 shared paper)
In The Last Decade
Ryo Kunimoto
26 papers receiving 750 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 378
- Computational Theory and Mathematics 162
- Molecular Biology 500
- Chemical Health and Safety 2
- Pharmacology 45
Countries citing papers authored by Ryo Kunimoto
This map shows the geographic impact of Ryo Kunimoto'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 Ryo Kunimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Kunimoto more than expected).
Fields of papers citing papers by Ryo Kunimoto
This network shows the impact of papers produced by Ryo Kunimoto. 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 Ryo Kunimoto. The network helps show where Ryo Kunimoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryo Kunimoto, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 347 | |
| 2 | 2007 | 108 | |
| 3 | 2008 | 77 | |
| 4 | 2009 | 56 | |
| 5 | 2009 | 23 | |
| 6 | 2016 | 17 | |
| 7 | 2016 | 14 | |
| 8 | 2010 | 14 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2016 | 4 |
About Ryo Kunimoto
Ryo Kunimoto is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Materials Chemistry and Organic Chemistry, having authored 27 papers that have together received 762 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Chemical Synthesis and Analysis (3 papers), Analytical Chemistry and Chromatography (3 papers), MicroRNA in disease regulation (3 papers), Machine Learning in Materials Science (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (378 citations), Computational Theory and Mathematics (162 citations), Molecular Biology (500 citations), Chemical Health and Safety (2 citations) and Pharmacology (45 citations). Ryo Kunimoto has collaborated with scholars based in Germany, Japan and France. Frequent co-authors include Gozoh Tsujimoto, Jürgen Bajorath, Kazuki Toki, Kenryu Nishiyama, Takeshi Chiyomaru, Hideki Enokida, Naohiko Seki, Kazumori Kawakami, Yasushi Okuno and Masayuki Nakagawa. Their work appears in journals such as ACS Omega, Journal of Computer-Aided Molecular Design, Nucleic Acids Research, Journal of Medicinal Chemistry and MedChemComm.
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.