Akinori Eiyama
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
- Epidemiology top 10%
- Autophagy in Disease and Therapy
Papers in
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- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 2
- Photosynthetic Processes and Mechanisms 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Autophagy in Disease and Therapy 5
- Co-authors
- Koji Okamoto (5 shared papers)Noriko Kondo‐Okamoto (2 shared papers)Yoji Kawano (1 shared paper)Fugo Takasu (1 shared paper)Takahiro Ueba (1 shared paper)Aiko Okada (1 shared paper)Takako Kaneko‐Kawano (1 shared paper)Kenji Suzuki (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)The EMBO Journal (1 paper)FEBS Letters (1 paper)Current Opinion in Cell Biology (1 paper)
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Akinori Eiyama
8 papers receiving 663 citations
Akinori Eiyama's Hit Papers
Peers
Comparison fields: 5 of 84
- Geriatrics and Gerontology 38
- Epidemiology 334
- Neurology 95
- Clinical Biochemistry 41
- Cell Biology 100
Countries citing papers authored by Akinori Eiyama
This map shows the geographic impact of Akinori Eiyama'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 Akinori Eiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akinori Eiyama more than expected).
Fields of papers citing papers by Akinori Eiyama
This network shows the impact of papers produced by Akinori Eiyama. 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 Akinori Eiyama. The network helps show where Akinori Eiyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Akinori Eiyama, 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 | PINK1/Parkin-mediated mitophagy in mammalian cells Hit paper breakdown → | 2015 | 486 |
| 2 | 2013 | 50 | |
| 3 | 2012 | 48 | |
| 4 | 2015 | 37 | |
| 5 | 2015 | 30 | |
| 6 | 2021 | 10 | |
| 7 | 2017 | 10 | |
| 8 | 2022 | 1 |
About Akinori Eiyama
Akinori Eiyama is a scholar working on Molecular Biology, Epidemiology, Neurology, Cell Biology and Oncology, having authored 8 papers that have together received 672 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Mitochondrial Function and Pathology (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Ubiquitin and proteasome pathways (2 papers), Erythrocyte Function and Pathophysiology (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Geriatrics and Gerontology (38 citations), Epidemiology (334 citations), Neurology (95 citations), Clinical Biochemistry (41 citations) and Cell Biology (100 citations). Akinori Eiyama has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Koji Okamoto, Noriko Kondo‐Okamoto, Yoji Kawano, Fugo Takasu, Takahiro Ueba, Aiko Okada, Takako Kaneko‐Kawano, Kenji Suzuki, Shin Ishii and Honda Naoki. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, The EMBO Journal, FEBS Letters and Current Opinion in Cell Biology.
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.