Shuraku Son

624 total citations
12 papers, 148 citations indexed

About

Shuraku Son is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Shuraku Son has authored 12 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Psychiatry and Mental health. Recurrent topics in Shuraku Son's work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Schizophrenia research and treatment (4 papers). Shuraku Son is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Schizophrenia research and treatment (4 papers). Shuraku Son collaborates with scholars based in Japan, Germany and United Kingdom. Shuraku Son's co-authors include Toshiya Murai, Hidehiko Takahashi, Jun Miyata, Manabu Kubota, Hidenao Fukuyama, Katja Koelkebeck, Toshihiko Aso, Genichi Sugihara, Nobukatsu Sawamoto and Naoya Oishi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Schizophrenia Bulletin.

In The Last Decade

Shuraku Son

10 papers receiving 147 citations

Peers

Shuraku Son
Pradeep Rajagopalan United States
Amber Howell United States
Leila Nabulsi United States
Stefania Pezzoli United Kingdom
Minji Ha South Korea
Pradeep Rajagopalan United States
Shuraku Son
Citations per year, relative to Shuraku Son Shuraku Son (= 1×) peers Pradeep Rajagopalan

Countries citing papers authored by Shuraku Son

Since Specialization
Citations

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

Fields of papers citing papers by Shuraku Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuraku Son. 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 Shuraku Son. The network helps show where Shuraku Son may publish in the future.

Co-authorship network of co-authors of Shuraku Son

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

All Works

12 of 12 papers shown
1.
Son, Shuraku, Jun Miyata, Kazuya Toriumi, et al.. (2024). Association of homocysteine with white matter dysconnectivity in schizophrenia. SHILAP Revista de lepidopterología. 10(1). 39–39.
2.
Son, Shuraku, Makoto Arai, Kazuya Toriumi, et al.. (2023). Association between enhanced carbonyl stress and decreased apparent axonal density in schizophrenia by multimodal white matter imaging. Scientific Reports. 13(1). 12220–12220.
3.
Matsumoto, Yukiko, S. Nishida, Shuraku Son, et al.. (2022). Disorganization of Semantic Brain Networks in Schizophrenia Revealed by fMRI. Schizophrenia Bulletin. 49(2). 498–506. 8 indexed citations
4.
Murai, Toshiya, Thomas Suslow, Patricia Ohrmann, et al.. (2022). Cortical changes in patients with schizophrenia across two ethnic backgrounds. Scientific Reports. 12(1). 10810–10810. 3 indexed citations
5.
Sugihara, Genichi, Noriyuki Nakashima, Masaaki Hazama, et al.. (2020). Anti-PDHA1 antibody is detected in a subset of patients with schizophrenia. Scientific Reports. 10(1). 7906–7906. 4 indexed citations
6.
Son, Shuraku, Makoto Arai, Jun Miyata, et al.. (2020). Enhanced carbonyl stress and disrupted white matter integrity in schizophrenia. Schizophrenia Research. 223. 242–248. 8 indexed citations
7.
Koelkebeck, Katja, Udo Dannlowski, Patricia Ohrmann, et al.. (2019). Gray matter volume reductions in patients with schizophrenia: A replication study across two cultural backgrounds. Psychiatry Research Neuroimaging. 292. 32–40. 7 indexed citations
8.
Mori, Yasuo, Jun Miyata, Masanori Isobe, et al.. (2018). Effect of phase‐encoding direction on group analysis of resting‐state functional magnetic resonance imaging. Psychiatry and Clinical Neurosciences. 72(9). 683–691. 8 indexed citations
9.
Sugihara, Genichi, Naoya Oishi, Shuraku Son, et al.. (2016). Distinct Patterns of Cerebral Cortical Thinning in Schizophrenia: A Neuroimaging Data-Driven Approach. Schizophrenia Bulletin. 43(4). sbw176–sbw176. 27 indexed citations
10.
Son, Shuraku, Jun Miyata, Yasuo Mori, et al.. (2016). Lateralization of intrinsic frontoparietal network connectivity and symptoms in schizophrenia. Psychiatry Research Neuroimaging. 260. 23–28. 22 indexed citations
11.
Son, Shuraku, Manabu Kubota, Jun Miyata, et al.. (2015). Creativity and positive symptoms in schizophrenia revisited: Structural connectivity analysis with diffusion tensor imaging. Schizophrenia Research. 164(1-3). 221–226. 16 indexed citations
12.
Koelkebeck, Katja, Jun Miyata, Manabu Kubota, et al.. (2014). The contribution of cortical thickness and surface area to gray matter asymmetries in the healthy human brain. Human Brain Mapping. 35(12). 6011–6022. 45 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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