Maiko Nabeyama

975 total citations
9 papers, 765 citations indexed

About

Maiko Nabeyama is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Maiko Nabeyama has authored 9 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Psychology, 6 papers in Experimental and Cognitive Psychology and 5 papers in Cognitive Neuroscience. Recurrent topics in Maiko Nabeyama's work include Obsessive-Compulsive Spectrum Disorders (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers) and Neural and Behavioral Psychology Studies (4 papers). Maiko Nabeyama is often cited by papers focused on Obsessive-Compulsive Spectrum Disorders (8 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers) and Neural and Behavioral Psychology Studies (4 papers). Maiko Nabeyama collaborates with scholars based in Japan. Maiko Nabeyama's co-authors include Tomohiro Nakao, Eiji Nakatani, Takashi Yoshiura, Kazuko Yoshioka, Osamu Togao, Shigenobu Kanba, Chika Yoshizato, Akiko Nakagawa, Mayumi Tomita and Akiko Nakagawa and has published in prestigious journals such as Biological Psychiatry, Journal of Psychiatric Research and Depression and Anxiety.

In The Last Decade

Maiko Nabeyama

9 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maiko Nabeyama Japan 9 685 451 376 113 68 9 765
Chika Yoshizato Japan 5 452 0.7× 290 0.6× 262 0.7× 82 0.7× 48 0.7× 5 511
Mayumi Tomita Japan 10 408 0.6× 314 0.7× 247 0.7× 82 0.7× 27 0.4× 15 508
Jan C. Beucke Germany 9 302 0.4× 365 0.8× 184 0.5× 56 0.5× 63 0.9× 16 516
Tobias Freyer Germany 12 436 0.6× 224 0.5× 127 0.3× 87 0.8× 66 1.0× 18 570
Seiji Nishida Japan 11 384 0.6× 355 0.8× 172 0.5× 70 0.6× 39 0.6× 18 554
Massimo Abbruzzese Italy 14 608 0.9× 501 1.1× 303 0.8× 310 2.7× 102 1.5× 19 863
Hirokuni Sanematsu Japan 8 326 0.5× 255 0.6× 187 0.5× 58 0.5× 35 0.5× 8 404
Marta Subirà Spain 15 368 0.5× 243 0.5× 178 0.5× 58 0.5× 32 0.5× 23 466
Femke de Geus Netherlands 11 781 1.1× 391 0.9× 310 0.8× 175 1.5× 164 2.4× 14 925
Denis Roberto Zamignani Brazil 6 450 0.7× 239 0.5× 133 0.4× 88 0.8× 40 0.6× 12 505

Countries citing papers authored by Maiko Nabeyama

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Nabeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Nabeyama

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

All Works

9 of 9 papers shown
1.
Togao, Osamu, Takashi Yoshiura, Tomohiro Nakao, et al.. (2010). Regional gray and white matter volume abnormalities in obsessive–compulsive disorder: A voxel-based morphometry study. Psychiatry Research Neuroimaging. 184(1). 29–37. 70 indexed citations
2.
Sanematsu, Hirokuni, Tomohiro Nakao, Takashi Yoshiura, et al.. (2009). Predictors of treatment response to fluvoxamine in obsessive–compulsive disorder: An fMRI study. Journal of Psychiatric Research. 44(4). 193–200. 48 indexed citations
3.
Nabeyama, Maiko, Akiko Nakagawa, Takashi Yoshiura, et al.. (2008). Functional MRI study of brain activation alterations in patients with obsessive–compulsive disorder after symptom improvement. Psychiatry Research Neuroimaging. 163(3). 236–247. 108 indexed citations
4.
Nakao, Tomohiro, Akiko Nakagawa, Takashi Yoshiura, et al.. (2008). Duration effect of obsessive-compulsive disorder on cognitive function: a functional MRI study. Depression and Anxiety. 26(9). 814–823. 25 indexed citations
5.
Nakao, Tomohiro, Akiko Nakagawa, Eiji Nakatani, et al.. (2008). Working memory dysfunction in obsessive–compulsive disorder: A neuropsychological and functional MRI study. Journal of Psychiatric Research. 43(8). 784–791. 112 indexed citations
7.
Nakatani, Eiji, Akiko Nakagawa, Tomohiro Nakao, et al.. (2005). A Randomized Controlled Trial of Japanese Patients with Obsessive-Compulsive Disorder – Effectiveness of Behavior Therapy and Fluvoxamine. Psychotherapy and Psychosomatics. 74(5). 269–276. 70 indexed citations
8.
Nakao, Tomohiro, Akiko Nakagawa, Takashi Yoshiura, et al.. (2005). A functional MRI comparison of patients with obsessive–compulsive disorder and normal controls during a Chinese character Stroop task. Psychiatry Research Neuroimaging. 139(2). 101–114. 84 indexed citations
9.
Nakao, Tomohiro, Eiji Nakatani, Maiko Nabeyama, et al.. (2005). [Duration effect on neuropsychological function and treatment response of OCD].. PubMed. 107(12). 1286–98. 11 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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