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Ryuta Kawashima

Ryuta Kawashima

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Neuroscience
Japan
2023

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 94 949 851 12 11 752 31917

Ryuta Kawashima publications per year

The chart shows the history of publications by Ryuta Kawashima between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ryuta Kawashima published across 39 years, from 1987 to 2025, averaging 20.3 papers a year. Output peaked at 44 publications in 2011. 22 of the 790 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 44. Peak 44 publications in 2011. 1987: 2 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 4 publications 1994: 8 publications 1995: 10 publications 1996: 20 publications 1997: 22 publications 1998: 30 publications 1999: 21 publications 2000: 23 publications 2001: 14 publications 2002: 10 publications 2003: 6 publications 2004: 10 publications 2005: 9 publications 2006: 20 publications 2007: 20 publications 2008: 16 publications 2009: 41 publications 2010: 31 publications 2011: 44 publications 2012: 36 publications 2013: 41 publications 2014: 44 publications 2015: 39 publications 2016: 35 publications 2017: 29 publications 2018: 26 publications 2019: 34 publications 2020: 31 publications 2021: 40 publications 2022: 26 publications 2023: 25 publications 2024: 10 publications 2025: 12 publications
1987 2025

790 publications in total across all disciplines

View publications per year as a table
Ryuta Kawashima: publications per year, 1987 to 2025
Year Publications
1987 2
1988 0
1989 1
1990 0
1991 0
1992 0
1993 4
1994 8
1995 10
1996 20
1997 22
1998 30
1999 21
2000 23
2001 14
2002 10
2003 6
2004 10
2005 9
2006 20
2007 20
2008 16
2009 41
2010 31
2011 44
2012 36
2013 41
2014 44
2015 39
2016 35
2017 29
2018 26
2019 34
2020 31
2021 40
2022 26
2023 25
2024 10
2025 12
Total 790
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Ryuta Kawashima publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Ryuta Kawashima sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 748–757 publications, is where this scientist sits. 38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 752 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9 752
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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Ryuta Kawashima D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Ryuta Kawashima sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 94–95 D-Index, is where this scientist sits. 30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30–31 D-Index 163+

This scientist: 94 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72 94
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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Research.com Recognitions

  • 2023 - Research.com Neuroscience in Japan Leader Award
  • 2022 - Research.com Neuroscience in Japan Leader Award

Overview

Ryuta Kawashima is affiliated with Tohoku University in Japan. Their research spans several interconnected disciplines, primarily focusing on neuroscience, medicine, and psychology. Within these fields, they have contributed extensively to cognitive neuroscience, experimental and cognitive psychology, developmental and educational psychology, radiology, nuclear medicine and imaging, and social psychology.

The scientist's main research topics include functional brain connectivity studies, advanced neuroimaging techniques and applications, neuroscience and music perception, neural and behavioral psychology studies, nutritional studies and diet, neurobiology of language and bilingualism, and hearing loss and rehabilitation.

Recent publications by Ryuta Kawashima illustrate a broad engagement with topics related to brain function, cognitive health, and social behavior. Notable papers include:

  • Nrf2 Suppresses Oxidative Stress and Inflammation in App Knock-In Alzheimer's Disease Model Mice (2020) published in Molecular and Cellular Biology
  • A Combination of Self-Reported Data and Social-Related Neural Measures Forecasts Viral Marketing Success on Social Media (2020) published in Journal of Interactive Marketing
  • Virtual training leads to physical, cognitive and neural benefits in healthy adults (2020) published in NeuroImage
  • Effects of Lutein and Astaxanthin Intake on the Improvement of Cognitive Functions among Healthy Adults: A Systematic Review of Randomized Controlled Trials (2020) published in Nutrients
  • Disappearance and Re-Emergence of Influenza during the COVID-19 Pandemic: Association with Infection Control Measures (2023) published in Viruses

Ryuta Kawashima collaborates regularly with several researchers, frequently publishing with:

  • Hikaru Takeuchi
  • Rui Nouchi
  • Yasuyuki Taki
  • Motoaki Sugiura
  • Kohei Sakaki

Kawashima's works appear in a range of journals, with multiple publications in venues such as:

  • Nutrients
  • Frontiers in Aging Neuroscience
  • Scientific Reports
  • NeuroImage
  • Communications Biology

Best Publications

  • Brain charts for the human lifespan

    Unknown

  • Thinking of the future and past: the roles of the frontal pole and the medial temporal lobes.

    Jiro Okuda;Toshikatsu Fujii;Hiroya Ohtake;Takashi Tsukiura

  • Training of working memory impacts structural connectivity.

    Hikaru Takeuchi;Atsushi Sekiguchi;Yasuyuki Taki;Satoru Yokoyama

  • The human amygdala plays an important role in gaze monitoring. A PET study.

    Ryuta Kawashima;Motoaki Sugiura;Takashi Kato;Akinori Nakamura

  • Relationship between body mass index and gray matter volume in 1,428 healthy individuals.

    Yasuyuki Taki;Shigeo Kinomura;Kazunori Sato;Kentaro Inoue

  • Brain Training Game Improves Executive Functions and Processing Speed in the Elderly: A Randomized Controlled Trial

    Rui Nouchi;Yasuyuki Taki;Hikaru Takeuchi;Hiroshi Hashizume

  • Functional delineation of the human occipito-temporal areas related to face and scene processing. A PET study.

    K. Nakamura;R. Kawashima;N. Sato;A. Nakamura

  • Activation of the right inferior frontal cortex during assessment of facial emotion.

    Katsuki Nakamura;Ryuta Kawashima;Kengo Ito;Motoaki Sugiura

  • Regional cerebral blood flow changes of cortical motor areas and prefrontal areas in humans related to ipsilateral and contralateral hand movement.

    Ryuta Kawashima;Kenji Yamada;Shigeo Kinomura;Tatsuo Yamaguchi

  • Functional anatomy of GO/NO-GO discrimination and response selection : a PET study in man

    Ryuta Kawashima;Kazunori Satoh;Hiroshi Itoh;Shuichi Ono

  • Participation of the prefrontal cortices in prospective memory: evidence from a PET study in humans

    Jiro Okuda;Toshikatsu Fujii;Atsushi Yamadori;Ryuta Kawashima

  • The human prefrontal and parietal association cortices are involved in NO-GO performances - An event-related fMRI study

    Jobu Watanabe;Motoaki Sugiura;Kazunori Sato;Yuko Sato

  • Failing to deactivate: the association between brain activity during a working memory task and creativity.

    Hikaru Takeuchi;Yasuyuki Taki;Hiroshi Hashizume;Yuko Sassa

  • Brain training game boosts executive functions, working memory and processing speed in the young adults: a randomized controlled trial

    Rui Nouchi;Rui Nouchi;Yasuyuki Taki;Hikaru Takeuchi;Hiroshi Hashizume

  • Regional gray matter volume of dopaminergic system associate with creativity: evidence from voxel-based morphometry.

    Hikaru Takeuchi;Yasuyuki Taki;Yuko Sassa;Hiroshi Hashizume

  • Positron-emission tomography studies of cross-modality inhibition in selective attentional tasks: closing the "mind's eye".

    Ryuta Kawashima;Brendan T. O'Sullivan;Per E. Roland

  • The Association between Resting Functional Connectivity and Creativity

    Hikaru Takeuchi;Yasuyuki Taki;Hiroshi Hashizume;Yuko Sassa

  • Neural substrates for recognition of familiar voices: a PET study.

    Katsuki Nakamura;Ryuta Kawashima;Motoaki Sugiura;Takashi Kato

  • Cortical mechanisms of visual self-recognition.

    Motoaki Sugiura;Jobu Watanabe;Yasuhiro Maeda;Yoshihiko Matsue

  • White matter structures associated with creativity: evidence from diffusion tensor imaging.

    Hikaru Takeuchi;Yasuyuki Taki;Yuko Sassa;Hiroshi Hashizume

  • Hypoperfusion in the Limbic System and Prefrontal Cortex in Depression: SPECT with Anatomic Standardization Technique

    Hiroshi Ito;Ryuta Kawashima;Shuichi Awata;Shuichi Ono

  • An in vivo MRI Template Set for Morphometry, Tissue Segmentation, and fMRI Localization in Rats.

    Pedro Antonio Valdés-Hernández;Akira Sumiyoshi;Hiroi Nonaka;Risa Haga

Frequent Co-Authors

Yasuyuki Taki
Yasuyuki Taki Tohoku University
Hikaru Takeuchi
Hikaru Takeuchi Tohoku University
Motoaki Sugiura
Motoaki Sugiura Tohoku University
Yuko Sassa
Yuko Sassa Tohoku University
Rui Nouchi
Rui Nouchi University of Human Environments
Hiroshi Fukuda
Hiroshi Fukuda Tohoku University
Hiroshi Hashizume
Hiroshi Hashizume Tohoku University
Shigeo Kinomura
Shigeo Kinomura Tohoku University
Atsushi Yamadori
Atsushi Yamadori Tohoku University
Karl Zilles
Karl Zilles Forschungszentrum Jülich

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