Shoi Shi

1.8k total citations
36 papers, 931 citations indexed

About

Shoi Shi is a scholar working on Cognitive Neuroscience, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Shoi Shi has authored 36 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 10 papers in Modeling and Simulation and 7 papers in Epidemiology. Recurrent topics in Shoi Shi's work include COVID-19 epidemiological studies (10 papers), Sleep and Wakefulness Research (8 papers) and COVID-19 Pandemic Impacts (6 papers). Shoi Shi is often cited by papers focused on COVID-19 epidemiological studies (10 papers), Sleep and Wakefulness Research (8 papers) and COVID-19 Pandemic Impacts (6 papers). Shoi Shi collaborates with scholars based in Japan, United States and Australia. Shoi Shi's 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 and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Shoi Shi

32 papers receiving 923 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shoi Shi Japan 18 233 160 155 151 119 36 931
Brian M. Gurbaxani United States 18 50 0.2× 49 0.3× 44 0.3× 369 2.4× 26 0.2× 40 1.5k
Gonzalo E. Mena United States 7 61 0.3× 148 0.9× 50 0.3× 42 0.3× 82 0.7× 10 539
Andrea Grignolio Italy 9 38 0.2× 18 0.1× 23 0.1× 254 1.7× 79 0.7× 17 879
Na Zhao China 18 201 0.9× 19 0.1× 7 0.0× 170 1.1× 34 0.3× 81 1.1k
Chiara Sacco Italy 13 101 0.4× 55 0.3× 10 0.1× 73 0.5× 105 0.9× 50 607
José Luís Herrera United States 15 25 0.1× 52 0.3× 19 0.1× 185 1.2× 16 0.1× 37 780
Nelson W. Chong United Kingdom 20 86 0.4× 4 0.0× 476 3.1× 198 1.3× 43 0.4× 44 1.3k
Robert C. Cumming United States 5 10 0.0× 97 0.6× 33 0.2× 321 2.1× 58 0.5× 6 1.1k
Kelly Servick United States 16 44 0.2× 44 0.3× 4 0.0× 226 1.5× 18 0.2× 159 947
Glenn Lawyer Germany 15 412 1.8× 19 0.1× 5 0.0× 108 0.7× 8 0.1× 28 1.2k

Countries citing papers authored by Shoi Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
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Wang, Yimeng, Hiroshi Fujishima, Rikuhiro G. Yamada, et al.. (2024). Postsynaptic competition between calcineurin and PKA regulates mammalian sleep–wake cycles. Nature. 636(8042). 412–421. 7 indexed citations
4.
Sawada, Takeshi, Yusuke Iino, Hitoshi Okazaki, et al.. (2024). Prefrontal synaptic regulation of homeostatic sleep pressure revealed through synaptic chemogenetics. Science. 385(6716). 1459–1465. 13 indexed citations
5.
Kinoshita, Ryo, et al.. (2023). Impact of airline network on the global importation risk of mpox, 2022. Epidemiology and Infection. 151. e60–e60. 4 indexed citations
6.
Shi, Shoi, et al.. (2022). Estimating Infection-Related Human Mobility Networks Based on Time Series Data of COVID-19 Infection in Japan. Applied Sciences. 12(18). 9236–9236. 2 indexed citations
7.
Shi, Shoi, et al.. (2022). A design principle of spindle oscillations in mammalian sleep. iScience. 25(3). 103873–103873.
8.
Ode, Koji L., et al.. (2022). A jerk-based algorithm ACCEL for the accurate classification of sleep–wake states from arm acceleration. iScience. 25(2). 103727–103727. 18 indexed citations
9.
Yoneoka, Daisuke, Shoi Shi, Shuhei Nomura, et al.. (2021). Assessing the regional impact of Japan’s COVID-19 state of emergency declaration: a population-level observational study using social networking services. BMJ Open. 11(2). e042002–e042002. 5 indexed citations
10.
Yoneoka, Daisuke, Akifumi Eguchi, Shuhei Nomura, et al.. (2021). Identification of optimum combinations of media channels for approaching COVID-19 vaccine unsure and unwilling groups in Japan. The Lancet Regional Health - Western Pacific. 18. 100330–100330. 15 indexed citations
11.
Kubota, Shimpei I., Kei Takahashi, Tomoyuki Mano, et al.. (2021). Whole-organ analysis of TGF-β-mediated remodelling of the tumour microenvironment by tissue clearing. Communications Biology. 4(1). 294–294. 17 indexed citations
12.
Nomura, Shuhei, Akifumi Eguchi, Daisuke Yoneoka, et al.. (2021). Reasons for being unsure or unwilling regarding intention to take COVID-19 vaccine among Japanese people: A large cross-sectional national survey. The Lancet Regional Health - Western Pacific. 14. 100223–100223. 103 indexed citations
13.
Nomura, Shuhei, Daisuke Yoneoka, Shoi Shi, et al.. (2020). An assessment of self-reported COVID-19 related symptoms of 227,898 users of a social networking service in Japan: Has the regional risk changed after the declaration of the state of emergency?. The Lancet Regional Health - Western Pacific. 1. 100011–100011. 31 indexed citations
14.
Kawashima, Takayuki, Shuhei Nomura, Yuta Tanoue, et al.. (2020). The relationship between fever rate and telework implementation as a social distancing measure against the COVID-19 pandemic in Japan. Public Health. 192. 12–14. 39 indexed citations
15.
Nomura, Shuhei, Daisuke Yoneoka, Yuta Tanoue, et al.. (2020). Time to Reconsider Diverse Ways of Working in Japan to Promote Social Distancing Measures against the COVID-19. Journal of Urban Health. 97(4). 457–460. 12 indexed citations
16.
Eguchi, Akifumi, Daisuke Yoneoka, Shoi Shi, et al.. (2020). Trend change of the transmission route of COVID-19–related symptoms in Japan. Public Health. 187. 157–160. 4 indexed citations
17.
Niwa, Yasutaka, Genki N. Kanda, Rikuhiro G. Yamada, et al.. (2018). Muscarinic Acetylcholine Receptors Chrm1 and Chrm3 Are Essential for REM Sleep. Cell Reports. 24(9). 2231–2247.e7. 73 indexed citations
18.
Nomura, Takushi, Shoi Shi, Midori Nakamura, et al.. (2013). Limited Impact of Passive Non-Neutralizing Antibody Immunization in Acute SIV Infection on Viremia Control in Rhesus Macaques. PLoS ONE. 8(9). e73453–e73453. 13 indexed citations
19.
Shi, Shoi, Sayuri Seki, Tetsuro Matano, & Hiroyuki Yamamoto. (2013). IL-21-producer CD4+ T cell kinetics during primary simian immunodeficiency virus infection. Microbes and Infection. 15(10-11). 697–707. 6 indexed citations
20.
Shi, Shoi, et al.. (2012). Mutation Accumulation in a Selfing Population: Consequences of Different Mutation Rates between Selfers and Outcrossers. PLoS ONE. 7(3). e33541–e33541. 3 indexed citations

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.

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