Keita Ueda

485 total citations
35 papers, 326 citations indexed

About

Keita Ueda is a scholar working on Epidemiology, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Keita Ueda has authored 35 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Neurology and 9 papers in Psychiatry and Mental health. Recurrent topics in Keita Ueda's work include Traumatic Brain Injury Research (13 papers), Cerebrospinal fluid and hydrocephalus (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Keita Ueda is often cited by papers focused on Traumatic Brain Injury Research (13 papers), Cerebrospinal fluid and hydrocephalus (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Keita Ueda collaborates with scholars based in Japan, Canada and Germany. Keita Ueda's co-authors include Toshiya Murai, Shiho Ubukata, Genichi Sugihara, Hidenao Fukuyama, Toshihiko Aso, Kazuyuki Hirao, Brandy L. Callahan, Naoya Oishi, André Plamondon and Shinsuke Fujimoto and has published in prestigious journals such as NeuroImage, Brain and Scientific Reports.

In The Last Decade

Keita Ueda

28 papers receiving 324 citations

Peers

Keita Ueda

NEURO

EPIDE

RNMI

PMH

Shiho Ubukata Japan

Jamuna Rajeswaran India

Ana Luiza Zaninotto Brazil

Nathalie Martin United States

Kathryn Y. Manning Canada

Mario Stanziano Italy

Gerald T. Voelbel United States

Gilson Vieira Brazil

Janine M. Cooper United Kingdom

Cristina A F Román United States

Shiho Ubukata Japan

Keita Ueda

129 ×1.1

74 ×0.7

NEURO

75 ×0.8

EPIDE

52 ×0.8

RNMI

99 ×1.5

PMH

Citations per year, relative to Keita Ueda Keita Ueda (= 1×) peers Shiho Ubukata

Countries citing papers authored by Keita Ueda

Since Specialization

Citations

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

Fields of papers citing papers by Keita Ueda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keita Ueda

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

All Works

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20 of 20 papers shown

Funaki, Takeshi, Keita Ueda, Yasutaka Fushimi, et al.. (2025). Lower prefrontal blood flow associated with intraindividual weakness in successive processing: a neurocognitive study of pediatric moyamoya disease. Journal of Neurosurgery Pediatrics. 35(6). 581–590.

Tsuyuki, Kiyomi, et al.. (2025). Association between maternal overprotection and premenstrual disorder: a machine learning based exploratory study. BioPsychoSocial Medicine. 19(1). 4–4.

Ueda, Keita, Katsutsugu Umeda, Takeshi Funaki, et al.. (2025). Cognitive and social functions of craniopharyngioma and germ cell tumor differ in patients with and without apathy. Psychiatry and Clinical Neurosciences Reports. 4(1). e70068–e70068.

Ubukata, Shiho, Genichi Sugihara, Naoya Oishi, et al.. (2023). A model for estimating the brainstem volume in normal healthy individuals and its application to diffuse axonal injury patients. Scientific Reports. 13(1). 33–33.

Ubukata, Shiho, et al.. (2022). Combining Multiple Indices of Diffusion Tensor Imaging Can Better Differentiate Patients with Traumatic Brain Injury from Healthy Subjects. Neuropsychiatric Disease and Treatment. Volume 18. 1801–1814. 7 indexed citations

Isobe, Masanori, et al.. (2021). The relationship between attention and avoidance coping in anorexia nervosa: functional magnetic resonance imaging study. BJPsych Open. 7(4). e130–e130. 6 indexed citations

Funaki, Takeshi, et al.. (2021). Characteristics of Higher Brain Dysfunction in Patients with Moyamoya Disease and Their Supports. Higher Brain Function Research. 41(3). 306–310.

Aso, Toshihiko, Genichi Sugihara, Toshiya Murai, et al.. (2020). A venous mechanism of ventriculomegaly shared between traumatic brain injury and normal ageing. Brain. 143(6). 1843–1856. 27 indexed citations

Ubukata, Shiho, Naoya Oishi, Tatsuya Higashi, et al.. (2020). <p>Spatial Patterns of Amyloid Deposition in Patients with Chronic Focal or Diffuse Traumatic Brain Injury Using <sup>18</sup>F-FPYBF-2 PET</p>. Neuropsychiatric Disease and Treatment. Volume 16. 2719–2732. 8 indexed citations

10.

Ueda, Keita, et al.. (2020). Development of a Japanese Version of the Daily Record of Severity of Problems for Diagnosing Premenstrual Syndrome. Women s Health Reports. 1(1). 11–16. 6 indexed citations

11.

Ubukata, Shiho, Naoya Oishi, Genichi Sugihara, et al.. (2018). Transcallosal Fiber Disruption and its Relationship with Corresponding Gray Matter Alteration in Patients with Diffuse Axonal Injury. Journal of Neurotrauma. 36(7). 1106–1114. 5 indexed citations

12.

Satow, Takeshi, Toshihiko Aso, Taro Komuro, et al.. (2017). Alteration of Venous Drainage Route in Idiopathic Normal Pressure Hydrocephalus and Normal Aging. Frontiers in Aging Neuroscience. 9. 387–387. 24 indexed citations

13.

Ueda, Keita, et al.. (2015). Disturbance of time orientation, attention, and verbal memory in amnesic patients with confabulation. Journal of Clinical and Experimental Neuropsychology. 38(2). 171–182. 3 indexed citations

14.

Ubukata, Shiho, Keita Ueda, Genichi Sugihara, et al.. (2015). Corpus Callosum Pathology as a Potential Surrogate Marker of Cognitive Impairment in Diffuse Axonal Injury. Journal of Neuropsychiatry. 28(2). 97–103. 15 indexed citations

15.

Ubukata, Shiho, et al.. (2014). Social cognition and its relationship to functional outcomes in patients with sustained acquired brain injury. Neuropsychiatric Disease and Treatment. 10. 2061–2061. 42 indexed citations

16.

Araki, Yoshio, Yasushi Takagi, Keita Ueda, et al.. (2014). Cognitive Function of Patients with Adult Moyamoya Disease. Journal of Stroke and Cerebrovascular Diseases. 23(7). 1789–1794. 23 indexed citations

17.

Ubukata, Shiho, et al.. (2013). Cognitive Impairments in Patients with Diffuse Axonal Injury. Kobe University Repository Kernel (Kobe University). 29(29). 17–25. 1 indexed citations

18.

Callahan, Brandy L., et al.. (2011). Liberal bias mediates emotion recognition deficits in frontal traumatic brain injury. Brain and Cognition. 77(3). 412–418. 31 indexed citations

19.

Miyata, Jun, Akihiko Sasamoto, Katja Koelkebeck, et al.. (2011). Abnormal asymmetry of white matter integrity in schizophrenia revealed by voxelwise diffusion tensor imaging. Human Brain Mapping. 33(7). 1741–1749. 43 indexed citations

20.

Hirao, Kazuyuki, et al.. (2008). Insight in social behavioral dysfunction in schizophrenia: Preliminary study. Psychiatry and Clinical Neurosciences. 62(6). 669–676. 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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