Shinya Tokuhiro
- Physiology top 5%
- Alzheimer's disease research and treatments 8
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases 2
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- Prion Diseases and Protein Misfolding 2
- Bioinformatics and Genomic Networks 2
- DNA and Nucleic Acid Chemistry 2
- Ubiquitin and proteasome pathways 2
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- Drug Transport and Resistance Mechanisms 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Takeshi IwatsuboTakaomi C. SaidoKei MaruyamaTaisuke TomitaRyo YamadaKazuhiko YamamotoKazuo ShinozakiJochen Walter
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Nature Genetics (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shinya Tokuhiro
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Physiology 466
- Cellular and Molecular Neuroscience 194
- Pharmacology 165
- Immunology 184
- Molecular Biology 556
Countries citing papers authored by Shinya Tokuhiro
This map shows the geographic impact of Shinya Tokuhiro'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 Shinya Tokuhiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Tokuhiro more than expected).
Fields of papers citing papers by Shinya Tokuhiro
This network shows the impact of papers produced by Shinya Tokuhiro. 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 Shinya Tokuhiro. The network helps show where Shinya Tokuhiro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shinya Tokuhiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2018 | 14 | |
| 3 | 2016 | 2 | |
| 4 | 2013 | 1 | |
| 5 | 2012 | 6 | |
| 6 | 2010 | 96 | |
| 7 | 2010 | 33 | |
| 8 | 2010 | 3 | |
| 9 | 2007 | 3 | |
| 10 | 2006 | 2 | |
| 11 | 2005 | 27 | |
| 12 | 2004 | 22 | |
| 13 | 2003 | 19 | |
| 14 | 2003 | 488 | |
| 15 | 2003 | 1 | |
| 16 | 2002 | 21 | |
| 17 | 1999 | 82 | |
| 18 | 1998 | 68 | |
| 19 | 1998 | 13 | |
| 20 | 1995 | 65 |
About Shinya Tokuhiro
Shinya Tokuhiro is a scholar working on Physiology, Clinical Biochemistry and Oncology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Drug Transport and Resistance Mechanisms (3 papers), Prion Diseases and Protein Misfolding (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Ubiquitin and proteasome pathways (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Physiology (466 citations), Cellular and Molecular Neuroscience (194 citations) and Pharmacology (165 citations). Shinya Tokuhiro has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takeshi Iwatsubo, Takaomi C. Saido, Kei Maruyama, Taisuke Tomita, Ryo Yamada, Kazuhiko Yamamoto, Kazuo Shinozaki, Jochen Walter, Akari Suzuki and Anja Capell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.