Hiroki Ueda
Impact in
- Developmental Neuroscience top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- Advanced Condensed Matter Physics 14
- Physics of Superconductivity and Magnetism 5
- Co-authors
- Kazuo KitagawaTomoari KamadaKazufumi KimuraMasayasu MatsumotoRyuji HataN HandaKatsuhiko MikoshibaY Isaka
- Journals
- Physical review. B. (9 papers)Physical Review Research (4 papers)Applied Physics Letters (4 papers)Scientific Reports (2 papers)Nature Communications (2 papers)
- Partner nations
- JapanSwitzerlandGermany
In The Last Decade
Hiroki Ueda
48 papers receiving 916 citations
Peers
Comparison fields: 5 of 122
- Developmental Neuroscience 70
- Neurology 113
- Cellular and Molecular Neuroscience 208
- Condensed Matter Physics 75
- Electronic, Optical and Magnetic Materials 113
Countries citing papers authored by Hiroki Ueda
This map shows the geographic impact of Hiroki Ueda'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 Hiroki Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Ueda more than expected).
Fields of papers citing papers by Hiroki Ueda
This network shows the impact of papers produced by Hiroki Ueda. 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 Hiroki Ueda. The network helps show where Hiroki Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroki Ueda, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 75 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 16 | |
| 14 | 2015 | 29 | |
| 15 | 2011 | 63 | |
| 16 | 2003 | 85 | |
| 17 | 1992 | 13 | |
| 18 | 1991 | 24 | |
| 19 | 1989 | 284 | |
| 20 | Surface Crack Behavior in Ductile Materials | 1985 | 4 |
About Hiroki Ueda
Hiroki Ueda is a scholar working on Structural Biology, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Cellular and Molecular Neuroscience and Hardware and Architecture, having authored 56 papers that have together received 938 indexed citations. Recurring topics across this work include Advanced Condensed Matter Physics (14 papers), Multiferroics and related materials (12 papers), Magnetic Properties and Synthesis of Ferrites (6 papers), Magnetic properties of thin films (6 papers), Magnetic and transport properties of perovskites and related materials (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Physics of Superconductivity and Magnetism (5 papers) and Magneto-Optical Properties and Applications (4 papers). The work is most often cited by research in Developmental Neuroscience (70 citations), Neurology (113 citations), Cellular and Molecular Neuroscience (208 citations), Condensed Matter Physics (75 citations) and Electronic, Optical and Magnetic Materials (113 citations). Hiroki Ueda has collaborated with scholars based in Japan, Switzerland and Germany. Frequent co-authors include Kazuo Kitagawa, Tomoari Kamada, Kazufumi Kimura, Masayasu Matsumoto, Ryuji Hata, N Handa, Katsuhiko Mikoshiba, Y Isaka, Ryuzo Fukunaga and Michio Niinobe. Their work appears in journals such as Physical review. B., Physical Review Research, Applied Physics Letters, Scientific Reports and Nature Communications.
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.