Ken‐ichi Tabei

900 total citations
55 papers, 626 citations indexed

About

Ken‐ichi Tabei is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Ken‐ichi Tabei has authored 55 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 18 papers in Psychiatry and Mental health and 16 papers in Neurology. Recurrent topics in Ken‐ichi Tabei's work include Dementia and Cognitive Impairment Research (16 papers), Music Therapy and Health (13 papers) and Neuroscience and Music Perception (12 papers). Ken‐ichi Tabei is often cited by papers focused on Dementia and Cognitive Impairment Research (16 papers), Music Therapy and Health (13 papers) and Neuroscience and Music Perception (12 papers). Ken‐ichi Tabei collaborates with scholars based in Japan, United Kingdom and United States. Ken‐ichi Tabei's co-authors include Masayuki Satoh, Hidekazu Tomimoto, Hirotaka Kida, Keita Matsuura, Akihiro Tanaka, Masayuki Maeda, Hajime Sakuma, Maki Umino, Yuichiro Ii and Yukari Okubo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Ken‐ichi Tabei

50 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken‐ichi Tabei Japan 15 221 219 127 117 80 55 626
Thomas Bauermann Germany 12 276 1.2× 352 1.6× 155 1.2× 180 1.5× 63 0.8× 18 815
Ronald N. Goodman United States 9 114 0.5× 310 1.4× 48 0.4× 107 0.9× 47 0.6× 11 613
Andrea Dreßing Germany 13 506 2.3× 275 1.3× 153 1.2× 110 0.9× 31 0.4× 27 913
Béatrice Garcin France 17 306 1.4× 244 1.1× 43 0.3× 290 2.5× 152 1.9× 48 785
Mika Otsuki Japan 12 184 0.8× 243 1.1× 29 0.2× 101 0.9× 135 1.7× 60 694
Katharina Nebel Germany 12 85 0.4× 311 1.4× 46 0.4× 135 1.2× 72 0.9× 15 532
Anna Nigri Italy 18 218 1.0× 306 1.4× 51 0.4× 271 2.3× 82 1.0× 66 854
E. Forapani Italy 5 205 0.9× 241 1.1× 26 0.2× 253 2.2× 64 0.8× 7 601
Fábio Godinho Brazil 10 219 1.0× 206 0.9× 58 0.5× 85 0.7× 125 1.6× 21 506

Countries citing papers authored by Ken‐ichi Tabei

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ichi Tabei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichi Tabei. 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 Ken‐ichi Tabei. The network helps show where Ken‐ichi Tabei may publish in the future.

Co-authorship network of co-authors of Ken‐ichi Tabei

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Tabei. A scholar is included among the top collaborators of Ken‐ichi Tabei 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 Ken‐ichi Tabei. Ken‐ichi Tabei 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.
Satoh, Masayuki, et al.. (2024). Transforming text to music using artificial intelligence improves the frontal lobe function of normal older adults. Brain and Behavior. 14(9). e70007–e70007. 1 indexed citations
2.
3.
Matsuura, Keita, Yuichiro Ii, Masayuki Maeda, et al.. (2023). Pulvinar quantitative susceptibility mapping predicts visual hallucinations post‐deep brain stimulation in Parkinson's disease. Brain and Behavior. 13(11). e3263–e3263. 1 indexed citations
4.
Satoh, Masayuki, et al.. (2023). Current Situation of Melodic Intonation Therapy in Japan : The National Investigation of MIT. Higher Brain Function Research. 43(1). 33–38. 1 indexed citations
5.
Tabei, Ken‐ichi, et al.. (2022). The Assessments of Music Therapy for Dementia Based on the Cochrane Review. Dementia and Geriatric Cognitive Disorders Extra. 12(1). 6–13. 4 indexed citations
6.
Kato, Natsuko, Akihiro Shindo, Naoko Nakamura, et al.. (2022). Cerebral Microbleeds With Atrial Fibrillation After Ablation Therapy. Frontiers in Cellular Neuroscience. 16. 818288–818288. 1 indexed citations
7.
Tabei, Ken‐ichi, Naoki Saji, Noriko Ogama, et al.. (2022). Quantitative Analysis of White Matter Hyperintensity: Comparison of Magnetic Resonance Imaging Image Analysis Software. Journal of Stroke and Cerebrovascular Diseases. 31(8). 106555–106555. 3 indexed citations
8.
Satoh, Masayuki, et al.. (2022). Shorter Version of the Brain Assessment Is Suitable for Longitudinal Public Cognitive Evaluations. Dementia and Geriatric Cognitive Disorders. 51(5). 405–411. 2 indexed citations
9.
Shindo, Akihiro, Ken‐ichi Tabei, Hidehiro Ishikawa, et al.. (2021). Investigation of hypertensive arteriopathy-related and cerebral amyloid angiopathy-related small vessel disease scores in patients from a memory clinic: a prospective single-centre study. BMJ Open. 11(4). e042550–e042550. 8 indexed citations
10.
Matsuura, Keita, Yuichiro Ii, Masayuki Maeda, et al.. (2021). Neuromelanin-sensitive magnetic resonance imaging in disease differentiation for parkinsonism or neurodegenerative disease affecting the basal ganglia. Parkinsonism & Related Disorders. 87. 75–81. 19 indexed citations
11.
Satoh, Masayuki, et al.. (2021). The Correlation between a New Online Cognitive Test (the Brain Assessment) and Widely Used In-Person Neuropsychological Tests. Dementia and Geriatric Cognitive Disorders. 50(5). 473–481. 3 indexed citations
12.
Tabei, Ken‐ichi, et al.. (2018). Impairment of the Missing Fundamental Phenomenon in Individuals with Alzheimer’s Disease: A Neuropsychological and Voxel-Based Morphometric Study. Dementia and Geriatric Cognitive Disorders Extra. 8(1). 23–32. 1 indexed citations
13.
Tabei, Ken‐ichi, et al.. (2018). Cognitive Function and Brain Atrophy Predict Non-pharmacological Efficacy in Dementia: The Mihama-Kiho Scan Project2. Frontiers in Aging Neuroscience. 10. 87–87. 11 indexed citations
14.
Matsuyama, Hirofumi, Yuichiro Ii, Masayuki Maeda, et al.. (2017). Background and distribution of lobar microbleeds in cognitive dysfunction. Brain and Behavior. 7(11). e00856–e00856. 10 indexed citations
15.
Shindo, Akihiro, Ken‐ichi Tabei, Hiroyasu Akatsu, et al.. (2017). Complement Activation in Capillary Cerebral Amyloid Angiopathy. Dementia and Geriatric Cognitive Disorders. 44(5-6). 343–353. 21 indexed citations
16.
Satoh, Masayuki, et al.. (2017). The Effect of Motion Artifacts on Near-Infrared Spectroscopy (NIRS) Data and Proposal of a Video-NIRS System. Dementia and Geriatric Cognitive Disorders Extra. 7(3). 406–418. 1 indexed citations
17.
Tabei, Ken‐ichi, et al.. (2017). Prediction of Cognitive Decline from White Matter Hyperintensity and Single-Photon Emission Computed Tomography in Alzheimer’s Disease. Frontiers in Neurology. 8. 408–408. 10 indexed citations
18.
Satoh, Masayuki, et al.. (2016). Improved Necker Cube Drawing-Based Assessment Battery for Constructional Apraxia: The Mie Constructional Apraxia Scale (MCAS). Dementia and Geriatric Cognitive Disorders Extra. 6(3). 424–436. 14 indexed citations
19.
20.
Tabei, Ken‐ichi, et al.. (2015). Involvement of the Extrageniculate System in the Perception of Optical Illusions: A Functional Magnetic Resonance Imaging Study. PLoS ONE. 10(6). e0128750–e0128750. 4 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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