Y. Muto

2.9k citations
94 papers · 2.5k · h-index 26

Impact in

    • 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
    • Enzyme Structure and Function 11

Y. Muto

93 papers receiving 2.4k citations

Peers

Y. Muto
Comparison fields: 5 of 115
  • Molecular Biology 2.1k
  • Cell Biology 156
  • Aging 15
  • Immunology 153
  • Biotechnology 66
Replace Jason O’Neill with:
Jason O’Neill United States
J.-P. Mornon France
Juergen Bode Germany
Valeria De Marco United Kingdom
Frank Stein Germany
Andrew W. Brauer United States
N. Justin United Kingdom
Tomoko Komiyama Japan
Gabriela C. Pérez-Alvarado United States
Edda Kloppmann Germany
Y. Muto relative to Jason O’Neill United States Jason O’Neill's profile →
Citations per field
00.5×1.7×
Jason O’Neill · 1×
Citations per year

Countries citing papers authored by Y. Muto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999324
2 1995147
3 1997144
4 201095
5 201372
6 200965
7 201056
8 201254
9 201253
10 200852
11 201051
12 200449
13 201547
14 199446
15 201545
16 200843
17 200943
18 201341
19 200237
20 202032

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.

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