Takaaki Akaike
- Biochemistry top 0.01%
- Sulfur Compounds in Biology 120
- Eicosanoids and Hypertension Pharmacology 18
- Physiology top 0.5%
- Nitric Oxide and Endothelin Effects 84
- Adenosine and Purinergic Signaling 20
- Molecular Biology top 0.5%
- Redox biology and oxidative stress 39
- Genomics, phytochemicals, and oxidative stress 29
- Heme Oxygenase-1 and Carbon Monoxide 18
- Physiology top 0.5%
- Nitric Oxide and Endothelin Effects 84
- Adenosine and Purinergic Signaling 20
- Immunology top 1%
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- Electron Spin Resonance Studies 20
- Co-authors
- Hiroshi MaedaTomohiro SawaTatsuya OkamotoShigemoto FujiiHideshi IharaHozumi MotohashiJun FangTomoaki Ida
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (6 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takaaki Akaike
317 papers receiving 17.2k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Biochemistry 4.5k
- Physiology 3.2k
- Molecular Biology 7.5k
- Physiology 479
- Immunology 1.9k
Countries citing papers authored by Takaaki Akaike
This map shows the geographic impact of Takaaki Akaike'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 Takaaki Akaike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takaaki Akaike more than expected).
Fields of papers citing papers by Takaaki Akaike
This network shows the impact of papers produced by Takaaki Akaike. 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 Takaaki Akaike. The network helps show where Takaaki Akaike may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takaaki Akaike, 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 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 22 | |
| 11 | 2021 | 4 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 31 | |
| 14 | 2017 | 16 | |
| 15 | 2015 | 35 | |
| 16 | Reactive cysteine persulfides and S-polythiolation regulate oxidative stress and redox signalingbreakdown → | 2014 | 768 |
| 17 | 2013 | 52 | |
| 18 | 2013 | 109 | |
| 19 | 2003 | 29 | |
| 20 | 1996 | 89 |
About Takaaki Akaike
Takaaki Akaike is a scholar working on Biochemistry, Physiology and Physiology, having authored 325 papers that have together received 17.5k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (120 papers), Nitric Oxide and Endothelin Effects (84 papers), Redox biology and oxidative stress (39 papers), Genomics, phytochemicals, and oxidative stress (29 papers), Electron Spin Resonance Studies (20 papers), Adenosine and Purinergic Signaling (20 papers), Eicosanoids and Hypertension Pharmacology (18 papers) and Heme Oxygenase-1 and Carbon Monoxide (18 papers). The work is most often cited by research in Biochemistry (4.5k citations), Physiology (3.2k citations) and Molecular Biology (7.5k citations). Takaaki Akaike has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroshi Maeda, Tomohiro Sawa, Tatsuya Okamoto, Hiroshi Maeda, Shigemoto Fujii, Hideshi Ihara, Hozumi Motohashi, Jun Fang, Tomoaki Ida and Yoshito Kumagai. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.