Mai Uchida

1.9k total citations
59 papers, 1.3k citations indexed

About

Mai Uchida is a scholar working on Psychiatry and Mental health, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Mai Uchida has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Psychiatry and Mental health, 20 papers in Clinical Psychology and 16 papers in Cognitive Neuroscience. Recurrent topics in Mai Uchida's work include Attention Deficit Hyperactivity Disorder (24 papers), Bipolar Disorder and Treatment (24 papers) and Child and Adolescent Psychosocial and Emotional Development (16 papers). Mai Uchida is often cited by papers focused on Attention Deficit Hyperactivity Disorder (24 papers), Bipolar Disorder and Treatment (24 papers) and Child and Adolescent Psychosocial and Emotional Development (16 papers). Mai Uchida collaborates with scholars based in United States, Italy and Norway. Mai Uchida's co-authors include Joseph Biederman, Stephen V. Faraone, Tara Kenworthy, Thomas Spencer, Andrea E. Spencer, K. Yvonne Woodworth, Nicholas W. Carrellas, John D. E. Gabrieli, Elana Kagan and Allison Green and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mai Uchida

55 papers receiving 1.2k citations

Peers

Mai Uchida
Jamison Rogers United States
Berney J. Wilkinson United States
K. Yvonne Woodworth United States
Alexis E. Cullen United Kingdom
Gauri N. Savla United States
Nicole R. Karcher United States
Mai Uchida
Citations per year, relative to Mai Uchida Mai Uchida (= 1×) peers Annabeth P. Groenman

Countries citing papers authored by Mai Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Mai Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Uchida

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Uchida. A scholar is included among the top collaborators of Mai Uchida 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 Mai Uchida. Mai Uchida 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
1.
Joshi, Gagan, A. Gönenç, Maura DiSalvo, et al.. (2025). Memantine to Treat Social Impairment in Youths With Autism Spectrum Disorder. JAMA Network Open. 8(10). e2534927–e2534927.
2.
Uchida, Mai, et al.. (2023). Decline in Partner-Accompanied Births during the COVID-19 Pandemic in Japan: A Nationwide Cross-Sectional Internet-Based Study. International Journal of Environmental Research and Public Health. 20(5). 4546–4546. 1 indexed citations
3.
Wozniak, Janet, Maura DiSalvo, Gagan Joshi, et al.. (2022). Long term outcomes of pediatric Bipolar-I disorder: A prospective follow-up analysis attending to full syndomatic, subsyndromal and functional types of remission. Journal of Psychiatric Research. 151. 667–675. 2 indexed citations
4.
Uchida, Mai, Qasim Bukhari, Maura DiSalvo, et al.. (2022). Can machine learning identify childhood characteristics that predict future development of bipolar disorder a decade later?. Journal of Psychiatric Research. 156. 261–267. 7 indexed citations
5.
Cherkasova, Mariya V., Arunima Roy, Brooke S. G. Molina, et al.. (2021). Review: Adult Outcome as Seen Through Controlled Prospective Follow-up Studies of Children With Attention-Deficit/Hyperactivity Disorder Followed Into Adulthood. Journal of the American Academy of Child & Adolescent Psychiatry. 61(3). 378–391. 62 indexed citations
6.
Luccarelli, James, Thomas H. McCoy, Mai Uchida, et al.. (2021). The Efficacy and Cognitive Effects of Acute Course Electroconvulsive Therapy Are Equal in Adolescents, Transitional Age Youth, and Young Adults. Journal of Child and Adolescent Psychopharmacology. 31(8). 538–544. 11 indexed citations
7.
Kucyi, Aaron, Michael Esterman, Allison Green, et al.. (2021). Prediction of stimulus-independent and task-unrelated thought from functional brain networks. Nature Communications. 12(1). 1793–1793. 60 indexed citations
8.
Biederman, Joseph, et al.. (2020). Differentiating bipolar disorder from unipolar depression in youth: A systematic literature review of neuroimaging research studies. Psychiatry Research Neuroimaging. 307. 111201–111201. 17 indexed citations
9.
Hung, Yuwen, Mai Uchida, Kelly Kadlec, et al.. (2020). Cingulum-Callosal white-matter microstructure associated with emotional dysregulation in children: A diffusion tensor imaging study. NeuroImage Clinical. 27. 102266–102266. 25 indexed citations
10.
Surman, Craig, Mai Uchida, Amy M. Yule, et al.. (2018). Does l-Methylfolate Supplement Methylphenidate Pharmacotherapy in Attention-Deficit/Hyperactivity Disorder?. Journal of Clinical Psychopharmacology. 39(1). 28–38. 4 indexed citations
11.
Wozniak, Janet, Mai Uchida, Stephen V. Faraone, et al.. (2017). Similar familial underpinnings for full and subsyndromal pediatric bipolar disorder: A familial risk analysis. Bipolar Disorders. 19(3). 168–175. 11 indexed citations
12.
Spencer, Andrea E., Marie‐France Marin, Mohammed R. Milad, et al.. (2017). Abnormal fear circuitry in Attention Deficit Hyperactivity Disorder: A controlled magnetic resonance imaging study. Psychiatry Research Neuroimaging. 262. 55–62. 13 indexed citations
13.
Uchida, Mai, et al.. (2016). Can subsyndromal manifestations of major depression be identified in children at risk?. Acta Psychiatrica Scandinavica. 135(2). 127–137. 7 indexed citations
14.
Chai, Xiaoqian J., Dina R. Hirshfeld‐Becker, Joseph Biederman, et al.. (2015). Functional and structural brain correlates of risk for major depression in children with familial depression. NeuroImage Clinical. 8. 398–407. 53 indexed citations
16.
Spencer, Andrea E., Stephen V. Faraone, Olivia E. Bogucki, et al.. (2015). Examining the Association Between Posttraumatic Stress Disorder and Attention-Deficit/Hyperactivity Disorder. The Journal of Clinical Psychiatry. 77(1). 72–83. 67 indexed citations
17.
Uchida, Mai, Joseph Biederman, John D. E. Gabrieli, et al.. (2015). Emotion regulation ability varies in relation to intrinsic functional brain architecture. Social Cognitive and Affective Neuroscience. 10(12). 1738–1748. 61 indexed citations
18.
Uchida, Mai, et al.. (2014). Can manic switches be predicted in pediatric major depression? A systematic literature review. Journal of Affective Disorders. 172. 300–306. 23 indexed citations
19.
Spencer, Andrea E., Mai Uchida, Tara Kenworthy, Christopher J. Keary, & Joseph Biederman. (2014). Glutamatergic Dysregulation in Pediatric Psychiatric Disorders. The Journal of Clinical Psychiatry. 75(11). 1226–1241. 21 indexed citations
20.
Biederman, Joseph, Janet Wozniak, Thomas Spencer, et al.. (2013). Can pediatric bipolar-I disorder be diagnosed in the context of posttraumatic stress disorder? A familial risk analysis. Psychiatry Research. 208(3). 215–224. 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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