Kyoko Fujimoto
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- Advanced MRI Techniques and Applications 11
- Advanced Neuroimaging Techniques and Applications 4
- Ultrasound Imaging and Elastography 3
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 6
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- Neurological disorders and treatments 3
- Transcranial Magnetic Stimulation Studies 3
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- Neurological disorders and treatments 3
- Transcranial Magnetic Stimulation Studies 3
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- Multiple Sclerosis Research Studies 3
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- Ultrasound and Hyperthermia Applications 3
- Co-authors
- Lawrence L. WaldJon̈athan R. PolimeniJean C. AugustinackRebecca D. FolkerthJennifer A. McNabWim VanduffelThomas JanssensRuopeng Wang
- Partner nations
- United StatesJapanGermany
In The Last Decade
Kyoko Fujimoto
23 papers receiving 456 citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 298
- Cognitive Neuroscience 139
- Neurology 43
- Applied Microbiology and Biotechnology 8
- Neurology 57
Countries citing papers authored by Kyoko Fujimoto
This map shows the geographic impact of Kyoko Fujimoto'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 Kyoko Fujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Fujimoto more than expected).
Fields of papers citing papers by Kyoko Fujimoto
This network shows the impact of papers produced by Kyoko Fujimoto. 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 Kyoko Fujimoto. The network helps show where Kyoko Fujimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyoko Fujimoto, 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 | 2023 | 1 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 4 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 36 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 22 | |
| 12 | 2018 | 27 | |
| 13 | 2017 | 15 | |
| 14 | 2014 | 22 | |
| 15 | 2014 | 26 | |
| 16 | 2013 | 73 | |
| 17 | 2012 | 14 | |
| 18 | 2012 | 116 | |
| 19 | 2011 | 9 | |
| 20 | 2010 | 15 |
About Kyoko Fujimoto
Kyoko Fujimoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Applied Microbiology and Biotechnology, having authored 23 papers that have together received 463 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Multiple Sclerosis Research Studies (3 papers), Neurological disorders and treatments (3 papers), Ultrasound Imaging and Elastography (3 papers), Ultrasound and Hyperthermia Applications (3 papers) and Transcranial Magnetic Stimulation Studies (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (298 citations), Cognitive Neuroscience (139 citations) and Neurology (43 citations). Kyoko Fujimoto has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Lawrence L. Wald, Jon̈athan R. Polimeni, Jean C. Augustinack, Rebecca D. Folkerth, Jennifer A. McNab, Wim Vanduffel, Thomas Janssens, Ruopeng Wang, Reza Farivar and Sergey N. Makarov. Their work appears in journals such as PLoS ONE, NeuroImage and Magnetic Resonance in 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.