Ai Fukushima

1.5k total citations
22 papers, 1.2k citations indexed

About

Ai Fukushima is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Ai Fukushima has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Ai Fukushima's work include Functional Brain Connectivity Studies (6 papers), Neural and Behavioral Psychology Studies (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Ai Fukushima is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neural and Behavioral Psychology Studies (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Ai Fukushima collaborates with scholars based in Japan. Ai Fukushima's co-authors include Ryuta Kawashima, Atsushi Sekiguchi, Yuko Sassa, Hikaru Takeuchi, Yasuyuki Taki, Hiroshi Hashizume, Rui Nouchi, Tomomi Nagase, Keisuke Wakusawa and Yukihito Yomogida and has published in prestigious journals such as PLoS ONE, NeuroImage and Neuropsychologia.

In The Last Decade

Ai Fukushima

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Fukushima Japan 15 825 470 196 190 128 22 1.2k
Saumitra Das United States 12 1.2k 1.4× 298 0.6× 180 0.9× 317 1.7× 93 0.7× 14 1.5k
Vishnu P. Murty United States 14 950 1.2× 253 0.5× 160 0.8× 174 0.9× 111 0.9× 31 1.2k
Loretxu Bergouignan France 14 884 1.1× 463 1.0× 155 0.8× 233 1.2× 178 1.4× 17 1.4k
Cameron S. Carter United States 21 922 1.1× 407 0.9× 103 0.5× 356 1.9× 112 0.9× 39 1.5k
Finnegan J. Calabro United States 20 744 0.9× 211 0.4× 119 0.6× 170 0.9× 110 0.9× 64 1.2k
Jimmy Ghaziri Canada 7 844 1.0× 216 0.5× 224 1.1× 364 1.9× 120 0.9× 10 1.3k
Irene E. Nagel Germany 14 921 1.1× 210 0.4× 150 0.8× 195 1.0× 74 0.6× 16 1.2k
Bradley S. Folley United States 16 809 1.0× 290 0.6× 186 0.9× 363 1.9× 85 0.7× 25 1.4k
Amanda V. Utevsky United States 8 764 0.9× 224 0.5× 193 1.0× 147 0.8× 133 1.0× 9 1.0k
Michihiko Koeda Japan 16 701 0.8× 315 0.7× 131 0.7× 284 1.5× 309 2.4× 34 1.3k

Countries citing papers authored by Ai Fukushima

Since Specialization
Citations

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

Fields of papers citing papers by Ai Fukushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Fukushima

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Fukushima. A scholar is included among the top collaborators of Ai Fukushima 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 Ai Fukushima. Ai Fukushima 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.
Shimada, Takako, et al.. (2019). Malignant transformation from mature cystic teratoma of the ovary. Journal of obstetrics and gynaecology research. 45(9). 1957–1960. 5 indexed citations
2.
Matsuda, Katsuya, Yuko Akazawa, Yuka Yamaguchi, et al.. (2019). Immunofluorescence analysis of DNA damage response protein p53-binding protein 1 in a case of uterine dedifferentiated leiomyosarcoma arising from leiomyoma. Pathology - Research and Practice. 215(11). 152640–152640. 6 indexed citations
3.
Iwama, Kazuhiro, Ai Fukushima, Jun Tohyama, et al.. (2018). Novel recessive mutations in MSTO1 cause cerebellar atrophy with pigmentary retinopathy. Journal of Human Genetics. 63(3). 263–270. 15 indexed citations
4.
Matsuda, Katsuya, Yuko Akazawa, Akira Kinoshita, et al.. (2016). Rapid growth of mitotically active cellular fibroma of the ovary: a case report and review of the literature. Diagnostic Pathology. 11(1). 101–101. 6 indexed citations
5.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2015). The Associations between Regional Gray Matter Structural Changes and Changes of Cognitive Performance in Control Groups of Intervention Studies. Frontiers in Human Neuroscience. 9. 681–681. 1 indexed citations
6.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2014). Regional Gray Matter Volume Is Associated with Empathizing and Systemizing in Young Adults. PLoS ONE. 9(1). e84782–e84782. 40 indexed citations
7.
Takeuchi, Hikaru, Yasuyuki Taki, Benjamin Thyreau, et al.. (2013). White matter structures associated with empathizing and systemizing in young adults. NeuroImage. 77. 222–236. 71 indexed citations
8.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2012). Brain structures associated with executive functions during everyday events in a non-clinical sample. Brain Structure and Function. 218(4). 1017–1032. 78 indexed citations
9.
10.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2011). Working Memory Training Using Mental Calculation Impacts Regional Gray Matter of the Frontal and Parietal Regions. PLoS ONE. 6(8). e23175–e23175. 138 indexed citations
11.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2011). White matter structures associated with emotional intelligence: Evidence from diffusion tensor imaging. Human Brain Mapping. 34(5). 1025–1034. 36 indexed citations
12.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2011). Regional gray and white matter volume associated with Stroop interference: Evidence from voxel-based morphometry. NeuroImage. 59(3). 2899–2907. 83 indexed citations
13.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2010). White matter structures associated with creativity: Evidence from diffusion tensor imaging. NeuroImage. 51(1). 11–18. 162 indexed citations
14.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2010). Regional gray matter density associated with emotional intelligence: Evidence from voxel‐based morphometry. Human Brain Mapping. 32(9). 1497–1510. 112 indexed citations
15.
Takeuchi, Hikaru, Yasuyuki Taki, Yuko Sassa, et al.. (2010). Regional gray matter volume of dopaminergic system associate with creativity: Evidence from voxel-based morphometry. NeuroImage. 51(2). 578–585. 196 indexed citations
16.
Yomogida, Yukihito, Motoaki Sugiura, Yuko Sassa, et al.. (2009). The neural basis of agency: An fMRI study. NeuroImage. 50(1). 198–207. 82 indexed citations
17.
Miura, Naoki, et al.. (2008). Somatotopical relationships between cortical activity and reflex areas in reflexology: A functional magnetic resonance imaging study. Neuroscience Letters. 448(1). 6–9. 22 indexed citations
18.
Sasaki, Masayuki, et al.. (2008). Abnormal cerebral glucose metabolism in alternating hemiplegia of childhood. Brain and Development. 31(1). 20–26. 30 indexed citations
19.
Fukushima, Ai, et al.. (2005). [Establishment of a brain perfusion single photon emission computed tomography database in children by statistical imaging analysis].. PubMed. 37(5). 400–4. 4 indexed citations
20.
Hayakawa, Hiroshi, et al.. (2000). . Japanese journal of pediatric nephrology. 13(2). 85–92.

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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