Shoi Shi
- Cognitive Neuroscience top 10%
- Modeling and Simulation top 2%
- Endocrine and Autonomic Systems top 5%
- Molecular Biology
- Health top 5%
- Co-authors
- Hiroki R. UedaDaisuke YoneokaYuta TanoueTakayuki KawashimaShuhei NomuraHiroaki MiyataAkifumi EguchiHiroshi Fujishima
- Topics
- COVID-19 epidemiological studies (10 papers)Sleep and Wakefulness Research (8 papers)COVID-19 Pandemic Impacts (6 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shoi Shi
32 papers receiving 923 citations
Peers
Comparison fields: 5 of 135
- Cognitive Neuroscience 233
- Modeling and Simulation 160
- Endocrine and Autonomic Systems 155
- Molecular Biology 151
- Health 119
Countries citing papers authored by Shoi Shi
This map shows the geographic impact of Shoi Shi'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 Shoi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoi Shi more than expected).
Fields of papers citing papers by Shoi Shi
This network shows the impact of papers produced by Shoi Shi. 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 Shoi Shi. The network helps show where Shoi Shi may publish in the future.
Co-authorship network of co-authors of Shoi Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Shoi Shi. A scholar is included among the top collaborators of Shoi Shi 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 Shoi Shi. Shoi Shi 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 | 0 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 17 | |
| 12 | 103 | |
| 13 | 31 | |
| 14 | 39 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 73 | |
| 18 | 13 | |
| 19 | 6 | |
| 20 | 3 |
About Shoi Shi
Shoi Shi is a scholar working on Modeling and Simulation, Endocrine and Autonomic Systems and Virology, having authored 36 papers that have together received 931 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Sleep and Wakefulness Research (8 papers) and COVID-19 Pandemic Impacts (6 papers). The work is most often cited by research in Modeling and Simulation (160 citations), Endocrine and Autonomic Systems (155 citations) and Health (119 citations). Shoi Shi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroki R. Ueda, Daisuke Yoneoka, Yuta Tanoue, Takayuki Kawashima, Shuhei Nomura, Hiroaki Miyata, Akifumi Eguchi, Hiroshi Fujishima, Maki Ukai‐Tadenuma and Stuart Gilmour. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.