Mariko Tada

1.7k total citations
39 papers, 1.1k citations indexed

About

Mariko Tada is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mariko Tada has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mariko Tada's work include Neural dynamics and brain function (20 papers), Neuroscience and Music Perception (16 papers) and Functional Brain Connectivity Studies (13 papers). Mariko Tada is often cited by papers focused on Neural dynamics and brain function (20 papers), Neuroscience and Music Perception (16 papers) and Functional Brain Connectivity Studies (13 papers). Mariko Tada collaborates with scholars based in Japan, United States and Nepal. Mariko Tada's co-authors include Kiyoto Kasai, Kenji Kirihara, Tsuyoshi Araki, Tatsuya Nagai, Shinsuke Koike, Motomu Suga, Daisuke Koshiyama, Mao Fujioka, Kaori Usui and Yoshihiro Satomura and has published in prestigious journals such as Scientific Reports, Cerebral Cortex and Journal of Affective Disorders.

In The Last Decade

Mariko Tada

39 papers receiving 1.1k citations

Peers

Mariko Tada
Mariko Tada
Citations per year, relative to Mariko Tada Mariko Tada (= 1×) peers Kenji Kirihara

Countries citing papers authored by Mariko Tada

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Tada

This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Tada. A scholar is included among the top collaborators of Mariko Tada 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 Mariko Tada. Mariko Tada 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.
Kunii, Naoto, Mariko Tada, Kenji Kirihara, et al.. (2024). Auditory prediction and prediction error responses evoked through a novel cascade roving paradigm: a human ECoG study. Cerebral Cortex. 34(2). 2 indexed citations
2.
Kunii, Naoto, Mariko Tada, Kenji Kirihara, et al.. (2024). Auditory prediction errors in sound frequency and duration generated different cortical activation patterns in the human brain: an ECoG study. Cerebral Cortex. 34(3). 1 indexed citations
3.
Usui, Kaori, Kenji Kirihara, Tsuyoshi Araki, et al.. (2023). Longitudinal change in mismatch negativity (MMN) but not in gamma-band auditory steady-state response (ASSR) is associated with psychological difficulties in adolescence. Cerebral Cortex. 33(22). 11070–11079. 3 indexed citations
4.
Kasai, Kiyoto, Shinichiro Kumagaya, Yusuke Takahashi, et al.. (2022). “World-Informed” Neuroscience for Diversity and Inclusion: An Organizational Change in Cognitive Sciences. Clinical EEG and Neuroscience. 54(6). 560–566. 1 indexed citations
5.
Usui, Kaori, Kenji Kirihara, Mariko Tada, et al.. (2022). The association between clinical symptoms and later subjective quality of life in individuals with ultra‐high risk for psychosis and recent‐onset psychotic disorder: A longitudinal investigation. Psychiatry and Clinical Neurosciences. 76(11). 552–559. 3 indexed citations
6.
Tada, Mariko, Takeshi Matsuo, Keisuke Kawasaki, et al.. (2022). Prediction-Related Frontal-Temporal Network for Omission Mismatch Activity in the Macaque Monkey. Frontiers in Psychiatry. 13. 557954–557954. 12 indexed citations
7.
Koike, Shinsuke, Mao Fujioka, Yoshihiro Satomura, et al.. (2021). Surface area in the insula was associated with 28-month functional outcome in first-episode psychosis. Schizophrenia. 7(1). 56–56. 1 indexed citations
8.
Kunii, Naoto, Misako Komatsu, Mariko Tada, et al.. (2020). Spatiotemporal Differentiation of MMN From N1 Adaptation: A Human ECoG Study. Frontiers in Psychiatry. 11. 586–586. 8 indexed citations
9.
Koshiyama, Daisuke, Kenji Kirihara, Kaori Usui, et al.. (2020). Resting-state EEG beta band power predicts quality of life outcomes in patients with depressive disorders: A longitudinal investigation. Journal of Affective Disorders. 265. 416–422. 12 indexed citations
10.
Tada, Mariko, Kenji Kirihara, Zhilei Zhao, et al.. (2019). Auditory Steady State Response; nature and utility as a translational science tool. Scientific Reports. 9(1). 8454–8454. 36 indexed citations
11.
Tada, Mariko, Kenji Kirihara, Takanori Uka, et al.. (2019). Mismatch negativity (MMN) as a tool for translational investigations into early psychosis: A review. International Journal of Psychophysiology. 145. 5–14. 57 indexed citations
12.
Koshiyama, Daisuke, Kenji Kirihara, Mariko Tada, et al.. (2018). Electrophysiological evidence for abnormal glutamate-GABA association following psychosis onset. Translational Psychiatry. 8(1). 211–211. 51 indexed citations
13.
Kunii, Naoto, Mariko Tada, Kenji Kirihara, et al.. (2018). Deviance detection is the dominant component of auditory contextual processing in the lateral superior temporal gyrus: A human ECoG study. Human Brain Mapping. 40(4). 1184–1194. 27 indexed citations
14.
Koshiyama, Daisuke, Kenji Kirihara, Mariko Tada, et al.. (2017). Association between mismatch negativity and global functioning is specific to duration deviance in early stages of psychosis. Schizophrenia Research. 195. 378–384. 34 indexed citations
15.
Nagai, Tatsuya, Kenji Kirihara, Mariko Tada, et al.. (2017). Reduced Mismatch Negativity is Associated with Increased Plasma Level of Glutamate in First-episode Psychosis. Scientific Reports. 7(1). 2258–2258. 38 indexed citations
16.
Koike, Shinsuke, Yoshihiro Satomura, Shingo Kawasaki, et al.. (2016). Association between rostral prefrontal cortical activity and functional outcome in first-episode psychosis: a longitudinal functional near-infrared spectroscopy study. Schizophrenia Research. 170(2-3). 304–310. 12 indexed citations
17.
Koike, Shinsuke, Miki Bundo, Kazuya Iwamoto, et al.. (2014). A snapshot of plasma metabolites in first-episode schizophrenia: a capillary electrophoresis time-of-flight mass spectrometry study. Translational Psychiatry. 4(4). e379–e379. 69 indexed citations
18.
Nagai, Tatsuya, Mariko Tada, Kenji Kirihara, et al.. (2013). Mismatch Negativity as a “Translatable” Brain Marker Toward Early Intervention for Psychosis: A Review. Frontiers in Psychiatry. 4. 115–115. 85 indexed citations
19.
Kirihara, Kenji, Kiyoto Kasai, Mariko Tada, et al.. (2012). Neurophysiological impairment in emotional face processing is associated with low extraversion in schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 37(2). 270–275. 22 indexed citations
20.

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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