Mitsuhiro Tsuchiya
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in
- Aging 11
- Genetics, Aging, and Longevity in Model Organisms 11
-
- Sirtuins and Resveratrol in Medicine 3
- Co-authors
- Matt KaeberleinBrian K. KennedyStanley FieldsEmily O. KerrDi HuNick DangErica D. SmithJames H. Thomas
- Journals
- PLoS Genetics (6 papers)eLife (2 papers)Aging Cell (2 papers)GeroScience (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSingaporeFrance
In The Last Decade
Mitsuhiro Tsuchiya
20 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Aging 933
- Geriatrics and Gerontology 139
- Endocrine and Autonomic Systems 221
- Molecular Biology 984
- Physiology 345
Countries citing papers authored by Mitsuhiro Tsuchiya
This map shows the geographic impact of Mitsuhiro Tsuchiya'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 Mitsuhiro Tsuchiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Tsuchiya more than expected).
Fields of papers citing papers by Mitsuhiro Tsuchiya
This network shows the impact of papers produced by Mitsuhiro Tsuchiya. 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 Mitsuhiro Tsuchiya. The network helps show where Mitsuhiro Tsuchiya may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiro Tsuchiya, 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 | 2024 | 2 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 22 | |
| 7 | 2019 | 8 | |
| 8 | 2015 | 30 | |
| 9 | 2015 | 41 | |
| 10 | 2014 | 77 | |
| 11 | 2011 | 184 | |
| 12 | 2008 | 63 | |
| 13 | 2008 | 359 | |
| 14 | 2008 | 97 | |
| 15 | 2008 | 149 | |
| 16 | 2006 | 94 | |
| 17 | 2006 | 254 | |
| 18 | 2006 | 2 | |
| 19 | 2005 | 150 | |
| 20 | 2005 | 3 |
About Mitsuhiro Tsuchiya
Mitsuhiro Tsuchiya is a scholar working on Aging, Geriatrics and Gerontology, Biological Psychiatry, Endocrine and Autonomic Systems and Molecular Biology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), RNA Research and Splicing (4 papers), Mitochondrial Function and Pathology (4 papers), Fungal and yeast genetics research (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), RNA and protein synthesis mechanisms (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (933 citations), Geriatrics and Gerontology (139 citations), Endocrine and Autonomic Systems (221 citations), Molecular Biology (984 citations) and Physiology (345 citations). Mitsuhiro Tsuchiya has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Matt Kaeberlein, Brian K. Kennedy, Stanley Fields, Emily O. Kerr, Di Hu, Nick Dang, Erica D. Smith, James H. Thomas, K. Linnea Welton and Kristan K. Steffen. Their work appears in journals such as PLoS Genetics, eLife, Aging Cell, GeroScience and Proceedings of the National Academy of Sciences.
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.