Tatsushi Toda
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 43
- Amyotrophic Lateral Sclerosis Research 17
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases 49
- Molecular Biology top 1%
- Muscle Physiology and Disorders 99
- Mitochondrial Function and Pathology 47
- Ubiquitin and proteasome pathways 22
- RNA modifications and cancer 17
- RNA Research and Splicing 17
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 43
- Amyotrophic Lateral Sclerosis Research 17
- Cell Biology top 1%
- Co-authors
- Kazuhiro KobayashiMotoi KanagawaTamao EndoYoshitaka NagaiMiho MurataH. Akiko PopielNobuhiro FujikakeNobutaka Hattori
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (11 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tatsushi Toda
316 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Neurology 2.3k
- Cellular and Molecular Neuroscience 2.4k
- Molecular Biology 5.9k
- Neurology 684
- Cell Biology 1.1k
Countries citing papers authored by Tatsushi Toda
This map shows the geographic impact of Tatsushi Toda'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 Tatsushi Toda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsushi Toda more than expected).
Fields of papers citing papers by Tatsushi Toda
This network shows the impact of papers produced by Tatsushi Toda. 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 Tatsushi Toda. The network helps show where Tatsushi Toda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatsushi Toda, 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 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 10 | |
| 14 | 2018 | 38 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 1 | |
| 17 | 2015 | 5 | |
| 18 | [Molecular genetics of Parkinson's disease]. | 2007 | 2 |
| 19 | 2006 | 13 | |
| 20 | 2003 | 60 |
About Tatsushi Toda
Tatsushi Toda is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 339 papers that have together received 9.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (99 papers), Genetic Neurodegenerative Diseases (49 papers), Mitochondrial Function and Pathology (47 papers), Parkinson's Disease Mechanisms and Treatments (43 papers), Ubiquitin and proteasome pathways (22 papers), RNA modifications and cancer (17 papers), RNA Research and Splicing (17 papers) and Amyotrophic Lateral Sclerosis Research (17 papers). The work is most often cited by research in Neurology (2.3k citations), Cellular and Molecular Neuroscience (2.4k citations) and Molecular Biology (5.9k citations). Tatsushi Toda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuhiro Kobayashi, Motoi Kanagawa, Tamao Endo, Yoshitaka Nagai, Miho Murata, H. Akiko Popiel, Nobuhiro Fujikake, Nobutaka Hattori, Hiroshi Manya and Atsushi Iwata. Their work appears in journals such as Nature, 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.