Shin’Ya Tayoshi

936 total citations
16 papers, 750 citations indexed

About

Shin’Ya Tayoshi is a scholar working on Psychiatry and Mental health, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Shin’Ya Tayoshi has authored 16 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Psychiatry and Mental health, 5 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Shin’Ya Tayoshi's work include Schizophrenia research and treatment (4 papers), Tryptophan and brain disorders (3 papers) and Functional Brain Connectivity Studies (3 papers). Shin’Ya Tayoshi is often cited by papers focused on Schizophrenia research and treatment (4 papers), Tryptophan and brain disorders (3 papers) and Functional Brain Connectivity Studies (3 papers). Shin’Ya Tayoshi collaborates with scholars based in Japan and Australia. Shin’Ya Tayoshi's co-authors include Tetsuro Ohmori, Satsuki Sumitani, Shuichi Ueno, Sumiko Shibuya‐Tayoshi, Jun‐ichi Iga, Shusuke Numata, Masahito Nakataki, Kyoko Taniguchi, Masahito Tomotake and Masafumi Harada and has published in prestigious journals such as Psychiatry Research, Schizophrenia Research and Journal of Psychiatric Research.

In The Last Decade

Shin’Ya Tayoshi

16 papers receiving 728 citations

Peers

Shin’Ya Tayoshi
Comparison fields: 5 of 72
  • Psychiatry and Mental health 288
  • Cognitive Neuroscience 232
  • Cellular and Molecular Neuroscience 229
  • Radiology, Nuclear Medicine and Imaging 170
  • Molecular Biology 138
Replace Satsuki Sumitani with:
Satsuki Sumitani Japan
Masahito Nakataki Japan
Ariel Graff Canada
Irina Vitcu Canada
Sumiko Shibuya‐Tayoshi Japan
KF Berman United States
Khanum Ridler United Kingdom
Jodi J. Weinstein United States
John R. Kelsoe United States
Harvey Wickham United Kingdom
Satsuki Sumitani Japan View profile →
Citations per field, relative to Shin’Ya Tayoshi
Shin’Ya Tayoshi · 1×
Citations per year, relative to Shin’Ya Tayoshi
Shin’Ya Tayoshi · 1×

Countries citing papers authored by Shin’Ya Tayoshi

Since Specialization
Citations

This map shows the geographic impact of Shin’Ya Tayoshi'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 Shin’Ya Tayoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin’Ya Tayoshi more than expected).

Fields of papers citing papers by Shin’Ya Tayoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin’Ya Tayoshi. 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 Shin’Ya Tayoshi. The network helps show where Shin’Ya Tayoshi may publish in the future.

Co-authorship network of co-authors of Shin’Ya Tayoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Shin’Ya Tayoshi. A scholar is included among the top collaborators of Shin’Ya Tayoshi 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 Shin’Ya Tayoshi. Shin’Ya Tayoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 19
2 50
3
Positive association of the pericentrin (PCNT) gene with major depressive disorder in the Japanese population.
23
4 90
5 94
6 43
7 25
8 77
9 9
10 35
11 64
12 77
13 23
14 88
15 29
16 4

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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