Takao Yagi
- Horticulture top 1%
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 10
- Molecular Biology top 1%
- Photosynthetic Processes and Mechanisms 65
- ATP Synthase and ATPases Research 64
- Mitochondrial Function and Pathology 62
- Coenzyme Q10 studies and effects 18
- Aging top 2%
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 11
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- Metalloenzymes and iron-sulfur proteins 16
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- Metal-Catalyzed Oxygenation Mechanisms 8
- Co-authors
- Akemi Matsuno‐YagiByoung Boo SeoTakahiro YanoEiko Nakamaru‐OgisoTomo̧ko OhnishiJ. Timothy GreenamyreYoussef HatefiSalvatore Di Bernardo
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (29 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Takao Yagi
149 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Horticulture 105
- Clinical Biochemistry 690
- Molecular Biology 5.6k
- Aging 117
- Neurology 1.0k
Countries citing papers authored by Takao Yagi
This map shows the geographic impact of Takao Yagi'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 Takao Yagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takao Yagi more than expected).
Fields of papers citing papers by Takao Yagi
This network shows the impact of papers produced by Takao Yagi. 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 Takao Yagi. The network helps show where Takao Yagi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takao Yagi, 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 | 2014 | 9 | |
| 2 | 2013 | 25 | |
| 3 | 2011 | 37 | |
| 4 | 2010 | 40 | |
| 5 | 2007 | 170 | |
| 6 | 2007 | 68 | |
| 7 | 2006 | 35 | |
| 8 | 2006 | 274 | |
| 9 | 2004 | 193 | |
| 10 | Mechanism of Toxicity in Rotenone Models of Parkinson's Diseasebreakdown → | 2003 | 816 |
| 11 | 2003 | 40 | |
| 12 | 2001 | 26 | |
| 13 | 2000 | 66 | |
| 14 | 1999 | 52 | |
| 15 | 1998 | 193 | |
| 16 | 1996 | 58 | |
| 17 | 1995 | 48 | |
| 18 | 1993 | 120 | |
| 19 | 1992 | 37 | |
| 20 | 1988 | 32 |
About Takao Yagi
Takao Yagi is a scholar working on Molecular Biology, Clinical Biochemistry and Renewable Energy, Sustainability and the Environment, having authored 151 papers that have together received 8.2k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (65 papers), ATP Synthase and ATPases Research (64 papers), Mitochondrial Function and Pathology (62 papers), Coenzyme Q10 studies and effects (18 papers), Metalloenzymes and iron-sulfur proteins (16 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Metabolism and Genetic Disorders (10 papers) and Metal-Catalyzed Oxygenation Mechanisms (8 papers). The work is most often cited by research in Horticulture (105 citations), Clinical Biochemistry (690 citations) and Molecular Biology (5.6k citations). Takao Yagi has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Akemi Matsuno‐Yagi, Byoung Boo Seo, Takahiro Yano, Eiko Nakamaru‐Ogiso, Tomo̧ko Ohnishi, J. Timothy Greenamyre, Youssef Hatefi, Salvatore Di Bernardo, Todd Sherer and Gary W. Miller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.