Akemi Matsuno‐Yagi
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 2%
- Clinical Biochemistry top 0.5%
- Physiology top 5%
- Co-authors
- Takao YagiByoung Boo SeoYoussef HatefiEiko Nakamaru‐OgisoYasuo MukohataJ. Timothy GreenamyreTodd ShererGary W. Miller
- Topics
- Mitochondrial Function and Pathology (54 papers)ATP Synthase and ATPases Research (45 papers)Photosynthetic Processes and Mechanisms (38 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Akemi Matsuno‐Yagi
86 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 4.4k
- Cellular and Molecular Neuroscience 1.0k
- Neurology 758
- Clinical Biochemistry 662
- Physiology 431
Countries citing papers authored by Akemi Matsuno‐Yagi
This map shows the geographic impact of Akemi Matsuno‐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 Akemi Matsuno‐Yagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akemi Matsuno‐Yagi more than expected).
Fields of papers citing papers by Akemi Matsuno‐Yagi
This network shows the impact of papers produced by Akemi Matsuno‐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 Akemi Matsuno‐Yagi. The network helps show where Akemi Matsuno‐Yagi may publish in the future.
Co-authorship network of co-authors of Akemi Matsuno‐Yagi
This figure shows the co-authorship network connecting the top 25 collaborators of Akemi Matsuno‐Yagi. A scholar is included among the top collaborators of Akemi Matsuno‐Yagi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akemi Matsuno‐Yagi. Akemi Matsuno‐Yagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | 25 | |
| 4 | 18 | |
| 5 | 37 | |
| 6 | 40 | |
| 7 | 75 | |
| 8 | 57 | |
| 9 | 68 | |
| 10 | 35 | |
| 11 | 71 | |
| 12 | Mechanism of Toxicity in Rotenone Models of Parkinson's Diseasebreakdown → | 816 |
| 13 | 45 | |
| 14 | 66 | |
| 15 | 52 | |
| 16 | 193 | |
| 17 | 20 | |
| 18 | 31 | |
| 19 | 37 | |
| 20 | 31 |
About Akemi Matsuno‐Yagi
Akemi Matsuno‐Yagi is a scholar working on Molecular Biology, Clinical Biochemistry and Geriatrics and Gerontology, having authored 86 papers that have together received 6.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (54 papers), ATP Synthase and ATPases Research (45 papers) and Photosynthetic Processes and Mechanisms (38 papers). The work is most often cited by research in Clinical Biochemistry (662 citations), Molecular Biology (4.4k citations) and Aging (105 citations). Akemi Matsuno‐Yagi has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Takao Yagi, Byoung Boo Seo, Youssef Hatefi, Eiko Nakamaru‐Ogiso, Yasuo Mukohata, J. Timothy Greenamyre, Todd Sherer, Gary W. Miller, Jason R. Richardson and Claudia Testa. Their work appears in journals such as Nature, 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.