Shinya Toyokuni
- Reproductive Medicine top 0.1%
- Biochemistry top 0.2%
- Cancer Research top 0.5%
- Molecular Biology top 0.2%
- DNA Repair Mechanisms 28
- Glutathione Transferases and Polymorphisms 26
- Genomics, phytochemicals, and oxidative stress 22
- Nutrition and Dietetics top 0.2%
- Trace Elements in Health 32
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- Occupational and environmental lung diseases 48
- Ferroptosis and cancer prognosis 23
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- Plasma Applications and Diagnostics 41
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- Iron Metabolism and Disorders 29
- Co-authors
- Hiroshi HiaiKôji UchidaTakashi ShinoharaMito Kanatsu‐ShinoharaKimiko InoueNarumi OgonukiAtsuo OguraKeisei Okamoto
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (8 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shinya Toyokuni
429 papers receiving 23.4k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Reproductive Medicine 3.2k
- Biochemistry 1.4k
- Cancer Research 2.6k
- Molecular Biology 11.0k
- Nutrition and Dietetics 2.3k
Countries citing papers authored by Shinya Toyokuni
This map shows the geographic impact of Shinya Toyokuni'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 Toyokuni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Toyokuni more than expected).
Fields of papers citing papers by Shinya Toyokuni
This network shows the impact of papers produced by Shinya Toyokuni. 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 Toyokuni. The network helps show where Shinya Toyokuni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shinya Toyokuni, 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 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 31 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 52 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 34 | |
| 14 | 2019 | 13 | |
| 15 | 2012 | 79 | |
| 16 | 2011 | 26 | |
| 17 | 2011 | 181 | |
| 18 | 2006 | 120 | |
| 19 | 2004 | 104 | |
| 20 | 1998 | 46 |
About Shinya Toyokuni
Shinya Toyokuni is a scholar working on Biochemistry, Reproductive Medicine and Nutrition and Dietetics, having authored 435 papers that have together received 23.9k indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (48 papers), Plasma Applications and Diagnostics (41 papers), Trace Elements in Health (32 papers), Iron Metabolism and Disorders (29 papers), DNA Repair Mechanisms (28 papers), Glutathione Transferases and Polymorphisms (26 papers), Ferroptosis and cancer prognosis (23 papers) and Genomics, phytochemicals, and oxidative stress (22 papers). The work is most often cited by research in Reproductive Medicine (3.2k citations), Biochemistry (1.4k citations) and Cancer Research (2.6k citations). Shinya Toyokuni has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroshi Hiai, Kôji Uchida, Takashi Shinohara, Mito Kanatsu‐Shinohara, Kimiko Inoue, Narumi Ogonuki, Atsuo Ogura, Keisei Okamoto, Hiromi Miki and Shinya Akatsuka. 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.