Tetsuya Miyamoto
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Genetics top 5%
- Insect Science top 2%
- Biochemistry top 1%
- Co-authors
- Hubert AmreinJesse SloneHiroshi HommaXiangyu SongMasae SekineJunichi ObokataMasahiro SugiuraYasuaki Saitoh
- Topics
- Amino Acid Enzymes and Metabolism (35 papers)Epigenetics and DNA Methylation (13 papers)Enzyme Structure and Function (12 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Tetsuya Miyamoto
73 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 112
- Cellular and Molecular Neuroscience 837
- Molecular Biology 670
- Genetics 414
- Insect Science 359
- Biochemistry 314
Countries citing papers authored by Tetsuya Miyamoto
This map shows the geographic impact of Tetsuya Miyamoto'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 Tetsuya Miyamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Miyamoto more than expected).
Fields of papers citing papers by Tetsuya Miyamoto
This network shows the impact of papers produced by Tetsuya Miyamoto. 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 Tetsuya Miyamoto. The network helps show where Tetsuya Miyamoto may publish in the future.
Co-authorship network of co-authors of Tetsuya Miyamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Miyamoto. A scholar is included among the top collaborators of Tetsuya Miyamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tetsuya Miyamoto. Tetsuya Miyamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 8 | |
| 11 | 76 | |
| 12 | 72 | |
| 13 | VNUT plays an important role in vesicular storage and subsequent exocytosis of ATP from bladder epithelium upon mechanical stretch stimulation | 2 |
| 14 | 20 | |
| 15 | 153 | |
| 16 | 13 | |
| 17 | 30 | |
| 18 | A Molecular Variant of the Angiotensinogen Gene and Hypertension in a Case-Control Study in Japanese | 5 |
| 19 | 32 | |
| 20 | 12 |
About Tetsuya Miyamoto
Tetsuya Miyamoto is a scholar working on Biochemistry, Aging and Clinical Biochemistry, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (35 papers), Epigenetics and DNA Methylation (13 papers) and Enzyme Structure and Function (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (837 citations), Biochemistry (314 citations) and Insect Science (359 citations). Tetsuya Miyamoto has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Hubert Amrein, Jesse Slone, Hiroshi Homma, Xiangyu Song, Masae Sekine, Junichi Obokata, Masahiro Sugiura, Yasuaki Saitoh, Masumi Katane and Jonathan C. Fox. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.