Hideaki Kanemitsu
- Co-authors
- Akira TamuraKeiji SanoTadayoshi NakagomiTakaaki KirinoTakeo IwamotoHiroshi NiheiKeiji IriyamaMasahiko Yoshiura
- Topics
- Gout, Hyperuricemia, Uric Acid (7 papers)Bone and Joint Diseases (4 papers)Cytomegalovirus and herpesvirus research (4 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Hideaki Kanemitsu
21 papers receiving 436 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 199
- Cellular and Molecular Neuroscience 98
- Neurology 98
- Physiology 65
- Neurology 55
Countries citing papers authored by Hideaki Kanemitsu
This map shows the geographic impact of Hideaki Kanemitsu'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 Hideaki Kanemitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Kanemitsu more than expected).
Fields of papers citing papers by Hideaki Kanemitsu
This network shows the impact of papers produced by Hideaki Kanemitsu. 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 Hideaki Kanemitsu. The network helps show where Hideaki Kanemitsu may publish in the future.
Co-authorship network of co-authors of Hideaki Kanemitsu
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Kanemitsu. A scholar is included among the top collaborators of Hideaki Kanemitsu 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 Hideaki Kanemitsu. Hideaki Kanemitsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | [Changes in acetylcholine level and its related enzyme activities in rat brain following focal ischemia]. | 2 |
| 4 | 7 | |
| 5 | 34 | |
| 6 | 31 | |
| 7 | 13 | |
| 8 | The s-Myc protein having the ability to induce apoptosis is selectively expressed in rat embryo chondrocytes. | 21 |
| 9 | 59 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | [Temporal profile of the superoxide dismutase and the ascorbic acid in focal cerebral ischemia]. | 2 |
| 13 | 23 | |
| 14 | 29 | |
| 15 | 35 | |
| 16 | [Changes in xanthine and uric acid in rat brain after middle cerebral artery occlusion]. | 1 |
| 17 | 29 | |
| 18 | 45 | |
| 19 | 27 | |
| 20 | Plasmid-borne Biodegradaton of Toluen and Etylbenzen in a Pseudomonad | 2 |
About Hideaki Kanemitsu
Hideaki Kanemitsu is a scholar working on Nephrology, Aging and Neurology, having authored 21 papers that have together received 446 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (7 papers), Bone and Joint Diseases (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Neurology (98 citations), Developmental Neuroscience (42 citations) and Nephrology (49 citations). Hideaki Kanemitsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Akira Tamura, Keiji Sano, Tadayoshi Nakagomi, Takaaki Kirino, Takeo Iwamoto, Hiroshi Nihei, Keiji Iriyama, Masahiko Yoshiura, Hitoshi Nakayama and W. Dalton Dietrich. Their work appears in journals such as Brain Research, Journal of Neurochemistry and Journal of Cerebral Blood Flow & Metabolism.
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.