Yuichiro Mita
Impact in
- Nutrition and Dietetics top 5%
- Selenium in Biological Systems
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Liver Disease Diagnosis and Treatment
Papers in
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- Parkinson's Disease Mechanisms and Treatments 4
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- Selenium in Biological Systems 3
- Co-authors
- Yoshifumi Okawa (5 shared papers)Eri Iwai‐Kanai (5 shared papers)Satoaki Matoba (5 shared papers)Atsushi Hoshino (4 shared papers)Koji Ikeda (4 shared papers)Makoto Ariyoshi (3 shared papers)Tomomi Ueyama (2 shared papers)Takehiro Ogata (1 shared paper)
- Journals
- Scientific Reports (3 papers)Nature Communications (2 papers)Free Radical Research (2 papers)Journal of Molecular and Cellular Cardiology (1 paper)Nature Medicine (1 paper)
- Partner nations
- Japan
In The Last Decade
Yuichiro Mita
19 papers receiving 1.3k citations
Yuichiro Mita's Hit Papers
Peers
Comparison fields: 5 of 60
- Nutrition and Dietetics 157
- Epidemiology 251
- Biochemistry 28
- Aging 7
- Neurology 73
Countries citing papers authored by Yuichiro Mita
This map shows the geographic impact of Yuichiro Mita'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 Yuichiro Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichiro Mita more than expected).
Fields of papers citing papers by Yuichiro Mita
This network shows the impact of papers produced by Yuichiro Mita. 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 Yuichiro Mita. The network helps show where Yuichiro Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichiro Mita, 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 | Cytosolic p53 inhibits Parkin-mediated mitophagy and promotes mitochondrial dysfunction in the mouse heart Hit paper breakdown → | 2013 | 472 |
| 2 | 2017 | 152 | |
| 3 | 2011 | 150 | |
| 4 | 2017 | 136 | |
| 5 | 2011 | 82 | |
| 6 | 2017 | 63 | |
| 7 | 2010 | 61 | |
| 8 | 2014 | 39 | |
| 9 | 2018 | 39 | |
| 10 | 2015 | 34 | |
| 11 | 2016 | 34 | |
| 12 | 2022 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2014 | 19 | |
| 16 | 2021 | 15 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 |
About Yuichiro Mita
Yuichiro Mita is a scholar working on Neurology, Nutrition and Dietetics, Epidemiology, Biochemistry and Rehabilitation, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Selenium in Biological Systems (3 papers), Mitochondrial Function and Pathology (1 paper), Free Radicals and Antioxidants (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Exercise and Physiological Responses (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Nutrition and Dietetics (157 citations), Epidemiology (251 citations), Biochemistry (28 citations), Aging (7 citations) and Neurology (73 citations). Yuichiro Mita has collaborated with scholars based in Japan. Frequent co-authors include Yoshifumi Okawa, Eri Iwai‐Kanai, Satoaki Matoba, Atsushi Hoshino, Koji Ikeda, Makoto Ariyoshi, Tomomi Ueyama, Takehiro Ogata, Noriko Noguchi and Yoshiro Saito. Their work appears in journals such as Scientific Reports, Nature Communications, Free Radical Research, Journal of Molecular and Cellular Cardiology and Nature Medicine.
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.