Ami Tsuchida
Impact in
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- General Decision Sciences top 10%
Papers in
-
- Functional Brain Connectivity Studies 7
- Neural and Behavioral Psychology Studies 6
- Memory and Neural Mechanisms 3
- Face Recognition and Perception 2
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- Advanced Neuroimaging Techniques and Applications 6
- Advanced MRI Techniques and Applications 4
- Co-authors
- Lesley K. Fellows (8 shared papers)Bradley B. Doll (1 shared paper)Nathalie Camille (1 shared paper)Evan G. Wong (1 shared paper)Lisa Koski (1 shared paper)R Lalonde (1 shared paper)Christophe Tzourio (9 shared papers)Bernard Mazoyer (5 shared papers)
In The Last Decade
Ami Tsuchida
19 papers receiving 699 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 478
- General Decision Sciences 21
- Virology 48
- Experimental and Cognitive Psychology 102
- Behavioral Neuroscience 27
Countries citing papers authored by Ami Tsuchida
This map shows the geographic impact of Ami Tsuchida'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 Ami Tsuchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ami Tsuchida more than expected).
Fields of papers citing papers by Ami Tsuchida
This network shows the impact of papers produced by Ami Tsuchida. 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 Ami Tsuchida. The network helps show where Ami Tsuchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Ami Tsuchida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 146 | |
| 2 | 2011 | 139 | |
| 3 | 2008 | 88 | |
| 4 | 2012 | 73 | |
| 5 | 2012 | 72 | |
| 6 | 2011 | 66 | |
| 7 | 2021 | 38 | |
| 8 | 2014 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 |
About Ami Tsuchida
Ami Tsuchida is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Psychiatry and Mental health and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 703 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Neural and Behavioral Psychology Studies (6 papers), Fetal and Pediatric Neurological Disorders (4 papers), Advanced MRI Techniques and Applications (4 papers), Memory and Neural Mechanisms (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Face Recognition and Perception (2 papers). The work is most often cited by research in Cognitive Neuroscience (478 citations), General Decision Sciences (21 citations), Virology (48 citations), Experimental and Cognitive Psychology (102 citations) and Behavioral Neuroscience (27 citations). Ami Tsuchida has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Lesley K. Fellows, Bradley B. Doll, Nathalie Camille, Evan G. Wong, Lisa Koski, R Lalonde, Christophe Tzourio, Bernard Mazoyer, Marc Joliot and Victor Nozais. Their work appears in journals such as Human Brain Mapping, Journal of Neuroscience, Journal of Cognitive Neuroscience, Cortex and HIV Medicine.
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.