Ryo Kunimoto

931 citations
27 papers · 757 · h-index 11

Impact in

Papers in

Ryo Kunimoto

25 papers receiving 744 citations

Peers

Ryo Kunimoto
Comparison fields: 5 of 82
  • Cancer Research 418
  • Computational Theory and Mathematics 169
  • Molecular Biology 597
  • Chemical Health and Safety 2
  • Pharmacology 48
Replace Sukjoon Yoon with:
Sukjoon Yoon South Korea
Baofeng Lian China
Albert A. Antolín United Kingdom
Thomas M. Kollmeyer United States
Mengzhu Xue China
Jorge Z. Torres United States
Ana Igea Spain
Taejeong Bae United States
Nada Lallous Canada
Matteo Rossi Sebastiano Italy
Ryo Kunimoto relative to Sukjoon Yoon South Korea Sukjoon Yoon's profile →
Citations per field
00.5×1.5×1.9×
Sukjoon Yoon · 1×
Citations per year

Countries citing papers authored by Ryo Kunimoto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryo Kunimoto Line = papers co-authored together Ryo Kunimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009349
2 2007108
3 200876
4 200956
5 200923
6 201616
7 201014
8 201614
9 201811
10 201710
11 201810
12 20178
13 20187
14 20187
15 20207
16 20217
17 20176
18 20215
19 20225
20 20214

About Ryo Kunimoto

Ryo Kunimoto is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Materials Chemistry and Spectroscopy, having authored 27 papers that have together received 757 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Bioinformatics and Genomic Networks (5 papers), Analytical Chemistry and Chromatography (4 papers), MicroRNA in disease regulation (3 papers), Machine Learning in Materials Science (3 papers), Chemical Synthesis and Analysis (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Cancer Research (418 citations), Computational Theory and Mathematics (169 citations), Molecular Biology (597 citations), Chemical Health and Safety (2 citations) and Pharmacology (48 citations). Ryo Kunimoto has collaborated with scholars based in Germany, Japan and France. Frequent co-authors include Gozoh Tsujimoto, Jürgen Bajorath, Yasushi Okuno, Kazuya Kawahara, Ken Kawamoto, Hideki Enokida, Naohiko Seki, Kenryu Nishiyama, Kazumori Kawakami and Masayuki Nakagawa. Their work appears in journals such as ACS Omega, Journal of Computer-Aided Molecular Design, Nucleic Acids Research, European Journal of Medicinal Chemistry and RSC Advances.

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.

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