Akiko K. Satoh
- Cell Biology top 2%
- Cellular transport and secretion 23
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- Neurobiology and Insect Physiology Research 12
- Photoreceptor and optogenetics research 8
- Aging top 5%
- Molecular Biology top 10%
- Retinal Development and Disorders 16
- Receptor Mechanisms and Signaling 5
- Genomics, phytochemicals, and oxidative stress 4
- Plant Reproductive Biology 4
- Behavioral Neuroscience top 10%
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- Intracranial Aneurysms: Treatment and Complications 5
- Co-authors
- Donald F. ReadyTakako YokozawaKoichi OzakiEun Ju ChoJoseph E. O’TousaTakunori SatohTatsuo MiyauchiSusumu Satoh
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Akiko K. Satoh
62 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 104
- Cell Biology 653
- Cellular and Molecular Neuroscience 669
- Aging 40
- Molecular Biology 1.0k
- Behavioral Neuroscience 50
Countries citing papers authored by Akiko K. Satoh
This map shows the geographic impact of Akiko K. Satoh'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 Akiko K. Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko K. Satoh more than expected).
Fields of papers citing papers by Akiko K. Satoh
This network shows the impact of papers produced by Akiko K. Satoh. 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 Akiko K. Satoh. The network helps show where Akiko K. Satoh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko K. Satoh, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 12 | |
| 8 | [EMC is essential for biosynthesis of rhodopsin and other multipass membrane proteins in Drosophila photoreceptors]. | 2015 | 2 |
| 9 | 2013 | 5 | |
| 10 | 2010 | 13 | |
| 11 | 2010 | 15 | |
| 12 | 2008 | 26 | |
| 13 | 2007 | 134 | |
| 14 | 2005 | 113 | |
| 15 | 2004 | 5 | |
| 16 | 2003 | 20 | |
| 17 | 2000 | 2 | |
| 18 | 1999 | 40 | |
| 19 | 1997 | 26 | |
| 20 | 1995 | 43 |
About Akiko K. Satoh
Akiko K. Satoh is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Neurology, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (23 papers), Retinal Development and Disorders (16 papers), Neurobiology and Insect Physiology Research (12 papers), Photoreceptor and optogenetics research (8 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Receptor Mechanisms and Signaling (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Plant Reproductive Biology (4 papers). The work is most often cited by research in Cell Biology (653 citations), Cellular and Molecular Neuroscience (669 citations) and Aging (40 citations). Akiko K. Satoh has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Donald F. Ready, Takako Yokozawa, Koichi Ozaki, Eun Ju Cho, Joseph E. O’Tousa, Takunori Satoh, Tatsuo Miyauchi, Susumu Satoh, Yoshimi Kitada and Ziguang Liu. Their work appears in journals such as Neuron, Journal of Neuroscience and The Journal of 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.