Mitsuhiro Fukuda
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering
- Sensory Systems top 5%
- Co-authors
- Seong‐Gi KimAlberto L. VazquezKazuto MasamotoAlexander John PoplawskyTae Il KimPing WangChan‐Hong MoonXiaopeng Zong
- Topics
- Neural dynamics and brain function (16 papers)Advanced MRI Techniques and Applications (14 papers)Functional Brain Connectivity Studies (13 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingCellular and Molecular Neuroscience
- Journals
- Journal of NeuroscienceNeuroImagePhilosophical Transactions of the Royal Society B Biological Sciences
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Mitsuhiro Fukuda
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 856
- Radiology, Nuclear Medicine and Imaging 715
- Cellular and Molecular Neuroscience 518
- Biomedical Engineering 127
- Sensory Systems 115
Countries citing papers authored by Mitsuhiro Fukuda
This map shows the geographic impact of Mitsuhiro Fukuda'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 Mitsuhiro Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Fukuda more than expected).
Fields of papers citing papers by Mitsuhiro Fukuda
This network shows the impact of papers produced by Mitsuhiro Fukuda. 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 Mitsuhiro Fukuda. The network helps show where Mitsuhiro Fukuda may publish in the future.
Co-authorship network of co-authors of Mitsuhiro Fukuda
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiro Fukuda. A scholar is included among the top collaborators of Mitsuhiro Fukuda 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 Mitsuhiro Fukuda. Mitsuhiro Fukuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 16 | |
| 6 | 16 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 60 | |
| 11 | 68 | |
| 12 | 28 | |
| 13 | 32 | |
| 14 | 4 | |
| 15 | 135 | |
| 16 | 73 | |
| 17 | 6 | |
| 18 | 175 | |
| 19 | 35 | |
| 20 | 19 |
About Mitsuhiro Fukuda
Mitsuhiro Fukuda is a scholar working on Sensory Systems, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Advanced MRI Techniques and Applications (14 papers) and Functional Brain Connectivity Studies (13 papers). The work is most often cited by research in Cognitive Neuroscience (856 citations), Radiology, Nuclear Medicine and Imaging (715 citations) and Cellular and Molecular Neuroscience (518 citations). Mitsuhiro Fukuda has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Seong‐Gi Kim, Alberto L. Vazquez, Kazuto Masamoto, Seong‐Gi Kim, Alexander John Poplawsky, Tae Il Kim, Ping Wang, Chan‐Hong Moon, Xiaopeng Zong and Manabu Tanifuji. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Philosophical Transactions of the Royal Society B Biological Sciences.
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.