Atsushi Fujimoto
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Molecular Biology
- Immunology top 10%
- Electrical and Electronic Engineering
- Co-authors
- Shunichi FukuzumiKei OhkuboHiroshi ImahoriSeong Keun KimTsutomu HirakawaTae Kyu AhnTaku HasobePrashant V. Kamat
- Topics
- Neural dynamics and brain function (7 papers)Functional Brain Connectivity Studies (7 papers)Memory and Neural Mechanisms (6 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Atsushi Fujimoto
51 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Organic Chemistry 554
- Materials Chemistry 540
- Molecular Biology 410
- Immunology 226
- Electrical and Electronic Engineering 222
Countries citing papers authored by Atsushi Fujimoto
This map shows the geographic impact of Atsushi 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 Atsushi Fujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Fujimoto more than expected).
Fields of papers citing papers by Atsushi Fujimoto
This network shows the impact of papers produced by Atsushi 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 Atsushi Fujimoto. The network helps show where Atsushi Fujimoto may publish in the future.
Co-authorship network of co-authors of Atsushi Fujimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Fujimoto. A scholar is included among the top collaborators of Atsushi Fujimoto 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 Atsushi Fujimoto. Atsushi Fujimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 16 | |
| 5 | 21 | |
| 6 | 3 | |
| 7 | 28 | |
| 8 | 15 | |
| 9 | 6 | |
| 10 | 19 | |
| 11 | 108 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 83 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 122 | |
| 19 | 5 | |
| 20 | Numerical Simulation of Separated Flows around a Wing Section at Steady and Unsteady Motion by a Discrete Vortex Method | 0 |
About Atsushi Fujimoto
Atsushi Fujimoto is a scholar working on Acoustics and Ultrasonics, General Decision Sciences and Cognitive Neuroscience, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (7 papers) and Memory and Neural Mechanisms (6 papers). The work is most often cited by research in Organic Chemistry (554 citations), Cancer Research (204 citations) and Materials Chemistry (540 citations). Atsushi Fujimoto has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Shunichi Fukuzumi, Kei Ohkubo, Hiroshi Imahori, Seong Keun Kim, Tsutomu Hirakawa, Tae Kyu Ahn, Taku Hasobe, Prashant V. Kamat, Dongho Kim and Makoto Nakanishi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.