Shunsuke Aoki
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Physiology top 10%
- Epidemiology
- Co-authors
- Keiji WadaMami NodaKaori NishikawaTomohiro KabutaAkiko FurutaKunio MatsumotoKoh FurutaMikako Sakurai
- Topics
- Ubiquitin and proteasome pathways (10 papers)Neuropeptides and Animal Physiology (6 papers)Liver physiology and pathology (5 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Shunsuke Aoki
73 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 508
- Cell Biology 273
- Physiology 230
- Epidemiology 213
Countries citing papers authored by Shunsuke Aoki
This map shows the geographic impact of Shunsuke Aoki'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 Shunsuke Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunsuke Aoki more than expected).
Fields of papers citing papers by Shunsuke Aoki
This network shows the impact of papers produced by Shunsuke Aoki. 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 Shunsuke Aoki. The network helps show where Shunsuke Aoki may publish in the future.
Co-authorship network of co-authors of Shunsuke Aoki
This figure shows the co-authorship network connecting the top 25 collaborators of Shunsuke Aoki. A scholar is included among the top collaborators of Shunsuke Aoki 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 Shunsuke Aoki. Shunsuke Aoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 48 | |
| 7 | 181 | |
| 8 | 6 | |
| 9 | 21 | |
| 10 | 13 | |
| 11 | 46 | |
| 12 | 64 | |
| 13 | 40 | |
| 14 | 39 | |
| 15 | 148 | |
| 16 | 18 | |
| 17 | 20 | |
| 18 | 10 | |
| 19 | Synthetic Studies on Quadrone. II. Synthesis of Methyl (1R^*,3aR^*,6aR^*)-2,2-Dimethyl-2,3,3a,4,6,6a-hexahydro-1-(2-hydroxyethyl)-4-methylene-5-oxo-3a(1H)-pentaleneacetate, a Key Intermediate for the Synthesis of (±)-Quadrone(Organic,Chemical) | 1 |
| 20 | Collisionless Stationary Frequency Function for a Highly-Flattened Galaxy | 1 |
About Shunsuke Aoki
Shunsuke Aoki is a scholar working on Physiology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Neuropeptides and Animal Physiology (6 papers) and Liver physiology and pathology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (508 citations), Developmental Neuroscience (88 citations) and Neurology (168 citations). Shunsuke Aoki has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Keiji Wada, Mami Noda, Kaori Nishikawa, Tomohiro Kabuta, Akiko Furuta, Kunio Matsumoto, Koh Furuta, Mikako Sakurai, Rieko Setsuie and Orna Halevy. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Astrophysical Journal.
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.