Yo Matsuo
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- FOXO transcription factor regulation
- RNA and protein synthesis mechanisms
- Signaling Pathways in Disease
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cell Biology top 10%
Papers in
-
- Protein Structure and Dynamics 12
- FOXO transcription factor regulation 10
- Signaling Pathways in Disease 6
- RNA and protein synthesis mechanisms 6
- Glycosylation and Glycoproteins Research 5
- Cancer-related gene regulation 5
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- Enzyme Structure and Function 11
- Co-authors
- Ken Nishikawa (8 shared papers)Yusuke Nakamura (14 shared papers)Takashi Miyamoto (9 shared papers)Shigeyuki Yokoyama (5 shared papers)Jae‐Hyun Park (8 shared papers)Mikako Shirouzu (3 shared papers)Hiroshi Hirota (3 shared papers)Stephen H. Bryant (3 shared papers)
- Journals
- Oncotarget (9 papers)Protein Science (5 papers)Proteins Structure Function and Bioinformatics (4 papers)Journal of Biological Chemistry (3 papers)FEBS Letters (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Yo Matsuo
57 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.7k
- Cell Biology 166
- Immunology 195
- Oncology 239
- Virology 42
Countries citing papers authored by Yo Matsuo
This map shows the geographic impact of Yo Matsuo'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 Yo Matsuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yo Matsuo more than expected).
Fields of papers citing papers by Yo Matsuo
This network shows the impact of papers produced by Yo Matsuo. 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 Yo Matsuo. The network helps show where Yo Matsuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yo Matsuo, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 277 | |
| 2 | 2003 | 150 | |
| 3 | 2012 | 127 | |
| 4 | 2014 | 104 | |
| 5 | 2005 | 73 | |
| 6 | 1993 | 72 | |
| 7 | 2000 | 71 | |
| 8 | 2008 | 60 | |
| 9 | 2014 | 59 | |
| 10 | 1996 | 56 | |
| 11 | 1999 | 56 | |
| 12 | 2000 | 55 | |
| 13 | 2004 | 54 | |
| 14 | 1994 | 48 | |
| 15 | 1996 | 48 | |
| 16 | 2016 | 47 | |
| 17 | 2016 | 44 | |
| 18 | 2008 | 42 | |
| 19 | 1997 | 42 | |
| 20 | 2016 | 41 |
About Yo Matsuo
Yo Matsuo is a scholar working on Molecular Biology, Materials Chemistry, Pathology and Forensic Medicine, Oncology and Computational Theory and Mathematics, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (11 papers), FOXO transcription factor regulation (10 papers), Signaling Pathways in Disease (6 papers), RNA and protein synthesis mechanisms (6 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer Mechanisms and Therapy (5 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Cell Biology (166 citations), Immunology (195 citations), Oncology (239 citations) and Virology (42 citations). Yo Matsuo has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Ken Nishikawa, Yusuke Nakamura, Takashi Miyamoto, Shigeyuki Yokoyama, Jae‐Hyun Park, Mikako Shirouzu, Hiroshi Hirota, Stephen H. Bryant, Yutaka Kuroda and Suyoun Chung. Their work appears in journals such as Oncotarget, Protein Science, Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry and FEBS Letters.
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.