Y. Muto
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Protein Structure and Dynamics
- Protein Kinase Regulation and GTPase Signaling
- Glycosylation and Glycoproteins Research
- RNA regulation and disease
- Cell Biology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 45
- RNA Research and Splicing 32
- RNA modifications and cancer 29
- Glycosylation and Glycoproteins Research 13
- Protein Structure and Dynamics 10
- Protein Kinase Regulation and GTPase Signaling 6
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- Enzyme Structure and Function 11
- Co-authors
- Shigeyuki Yokoyama (64 shared papers)T. Kigawa (24 shared papers)Mikako Shirouzu (25 shared papers)Osamu Nureki (5 shared papers)Kazuki Kurimoto (4 shared papers)Hiroshi Sakamoto (4 shared papers)Yoshiro Shimura (4 shared papers)Kanako Kuwasako (22 shared papers)
- Journals
- Biochemistry (11 papers)Proteins Structure Function and Bioinformatics (7 papers)Protein Science (6 papers)Nucleic Acids Research (5 papers)Journal of Biomolecular NMR (4 papers)
- Partner nations
- JapanUnited KingdomGermany
In The Last Decade
Y. Muto
93 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.1k
- Cell Biology 156
- Aging 15
- Immunology 153
- Biotechnology 66
Countries citing papers authored by Y. Muto
This map shows the geographic impact of Y. Muto'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 Y. Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Muto more than expected).
Fields of papers citing papers by Y. Muto
This network shows the impact of papers produced by Y. Muto. 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 Y. Muto. The network helps show where Y. Muto may publish in the future.
Co-authors
The 25 scholars most cited alongside Y. Muto, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 324 | |
| 2 | 1995 | 147 | |
| 3 | 1997 | 144 | |
| 4 | 2010 | 95 | |
| 5 | 2013 | 72 | |
| 6 | 2009 | 65 | |
| 7 | 2010 | 56 | |
| 8 | 2012 | 54 | |
| 9 | 2012 | 53 | |
| 10 | 2008 | 52 | |
| 11 | 2010 | 51 | |
| 12 | 2004 | 49 | |
| 13 | 2015 | 47 | |
| 14 | 1994 | 46 | |
| 15 | 2015 | 45 | |
| 16 | 2008 | 43 | |
| 17 | 2009 | 43 | |
| 18 | 2013 | 41 | |
| 19 | 2002 | 37 | |
| 20 | 2020 | 32 |
About Y. Muto
Y. Muto is a scholar working on Molecular Biology, Materials Chemistry, Immunology, Organic Chemistry and Oncology, having authored 94 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (45 papers), RNA Research and Splicing (32 papers), RNA modifications and cancer (29 papers), Glycosylation and Glycoproteins Research (13 papers), Enzyme Structure and Function (11 papers), Protein Structure and Dynamics (10 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Carbohydrate Chemistry and Synthesis (6 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cell Biology (156 citations), Aging (15 citations), Immunology (153 citations) and Biotechnology (66 citations). Y. Muto has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Shigeyuki Yokoyama, T. Kigawa, Mikako Shirouzu, Osamu Nureki, Kazuki Kurimoto, Hiroshi Sakamoto, Yoshiro Shimura, Kanako Kuwasako, Insil Kim and N. Handa. Their work appears in journals such as Biochemistry, Proteins Structure Function and Bioinformatics, Protein Science, Nucleic Acids Research and Journal of Biomolecular NMR.
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.