Mirai So

417 total citations
13 papers, 269 citations indexed

About

Mirai So is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Mirai So has authored 13 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 5 papers in Experimental and Cognitive Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Mirai So's work include Mental Health Research Topics (5 papers), Emotion and Mood Recognition (4 papers) and COVID-19 and Mental Health (2 papers). Mirai So is often cited by papers focused on Mental Health Research Topics (5 papers), Emotion and Mood Recognition (4 papers) and COVID-19 and Mental Health (2 papers). Mirai So collaborates with scholars based in Japan, United Kingdom and Germany. Mirai So's co-authors include Sosei Yamaguchi, Mitsuhiro Sado, Sae Ochi, Kenzo Denda, Toshi A. Furukawa, Paul McCrone, Eiji Shimizu, Keita Yamauchi, Atsuo Nakagawa and Hiroyuki Toda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mirai So

13 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirai So Japan 7 99 90 90 68 53 13 269
Zheng-An Lu China 7 290 2.9× 83 0.9× 47 0.5× 67 1.0× 34 0.6× 11 420
E.Y.L. Cheung Hong Kong 6 143 1.4× 76 0.8× 59 0.7× 13 0.2× 61 1.2× 9 252
Weijun Xiao China 10 153 1.5× 28 0.3× 20 0.2× 81 1.2× 46 0.9× 23 287
Jacqueline Bukaka Democratic Republic of the Congo 10 266 2.7× 23 0.3× 25 0.3× 49 0.7× 39 0.7× 16 322
Alanna Single Canada 7 276 2.8× 86 1.0× 65 0.7× 28 0.4× 46 0.9× 15 388
Nora Skjerdingstad Norway 6 145 1.5× 53 0.6× 9 0.1× 87 1.3× 72 1.4× 15 273
Fahimeh Saeed Iran 10 195 2.0× 21 0.2× 23 0.3× 48 0.7× 45 0.8× 40 316
Seyed Mohammad Mahdi Moshirian Farahi Canada 10 191 1.9× 39 0.4× 11 0.1× 134 2.0× 108 2.0× 39 345
Leonie Klaufus Netherlands 5 161 1.6× 40 0.4× 23 0.3× 27 0.4× 31 0.6× 12 255
Natallia Khamenka Belarus 6 242 2.4× 47 0.5× 35 0.4× 24 0.4× 38 0.7× 6 307

Countries citing papers authored by Mirai So

Since Specialization
Citations

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

Fields of papers citing papers by Mirai So

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirai So

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

All Works

13 of 13 papers shown
1.
Kato, Tadafumi, Kazuyoshi Ogasawara, Keisuke Motomura, et al.. (2024). Practice Guidelines for Bipolar Disorder by the JSMD (Japanese Society of Mood Disorders). Psychiatry and Clinical Neurosciences. 78(11). 633–645. 5 indexed citations
3.
Ochi, Sae, et al.. (2023). Impact of the COVID-19 pandemic on exercise habits and overweight status in Japan: A nation-wide panel survey. SHILAP Revista de lepidopterología. 3(7). e0001732–e0001732. 3 indexed citations
4.
Nakamura, Mitsuteru, Shuji Shinohara, Takeshi Takano, et al.. (2022). Detection of Major Depressive Disorder Based on a Combination of Voice Features: An Exploratory Approach. International Journal of Environmental Research and Public Health. 19(18). 11397–11397. 6 indexed citations
5.
Denda, Kenzo, et al.. (2022). Association between COVID-19 vaccine hesitancy and generalized trust, depression, generalized anxiety, and fear of COVID-19. BMC Public Health. 22(1). 126–126. 80 indexed citations
6.
Shinohara, Shuji, Hiroyuki Toda, Mitsuteru Nakamura, et al.. (2021). Evaluation of emotional arousal level and depression severity using voice-derived sound pressure change acceleration. Scientific Reports. 11(1). 13615–13615. 4 indexed citations
7.
Ochi, Sae, et al.. (2021). Behavioral Factors Associated with COVID-19 Risk: A Cross-Sectional Survey in Japan. International Journal of Environmental Research and Public Health. 18(22). 12184–12184. 7 indexed citations
8.
Shinohara, Shuji, Hiroyuki Toda, Mitsuteru Nakamura, et al.. (2020). Evaluation of the Severity of Major Depression Using a Voice Index for Emotional Arousal. Sensors. 20(18). 5041–5041. 11 indexed citations
9.
Pike, Kathleen M., Mirai So, Anja Hilbert, et al.. (2020). Risk factors for anorexia nervosa and bulimia nervosa in Japan and compared to a U.S. sample. International Journal of Eating Disorders. 54(2). 155–167. 8 indexed citations
10.
Takano, Takeshi, et al.. (2018). Estimating depressive status from voice. 2795–2796. 4 indexed citations
13.
Sado, Mitsuhiro, Martín Knapp, Keita Yamauchi, et al.. (2009). Cost-Effectiveness of Combination Therapy Versus Antidepressant Therapy for Management of Depression in Japan. Australian & New Zealand Journal of Psychiatry. 43(6). 539–547. 19 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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