Koichi Uchimura
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- DNA Repair Mechanisms 1
- Receptor Mechanisms and Signaling 1
- S100 Proteins and Annexins 1
- Mitochondrial Function and Pathology 1
-
- Inflammatory mediators and NSAID effects 1
- Co-authors
- Raymond L. Zhu (2 shared papers)Steven H. Graham (2 shared papers)Masaki Nakayama (2 shared papers)R. Anne Stetler (2 shared papers)Jun Chen (1 shared paper)Peter C. Isakson (1 shared paper)Tetsuya Nagayama (1 shared paper)Marie E. Rose (1 shared paper)
- Journals
- Neuroradiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Cerebral Blood Flow & Metabolism (1 paper)PubMed (1 paper)Nosotchu (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Koichi Uchimura
5 papers receiving 393 citations
Peers
Comparison fields: 5 of 57
- Neurology 97
- Biochemistry 76
- Pharmacology 134
- Developmental Neuroscience 21
- Biological Psychiatry 11
Countries citing papers authored by Koichi Uchimura
This map shows the geographic impact of Koichi Uchimura'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 Koichi Uchimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Uchimura more than expected).
Fields of papers citing papers by Koichi Uchimura
This network shows the impact of papers produced by Koichi Uchimura. 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 Koichi Uchimura. The network helps show where Koichi Uchimura may publish in the future.
Co-authors
The 17 scholars most cited alongside Koichi Uchimura, 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 | 1998 | 303 | |
| 2 | 1998 | 47 | |
| 3 | Method for quantitatively evaluating the lateralization of linguistic function using functional MR imaging. | 2001 | 46 |
| 4 | 1990 | 4 | |
| 5 | 1998 | 2 |
About Koichi Uchimura
Koichi Uchimura is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Epidemiology, having authored 5 papers that have together received 402 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (1 paper), NMR spectroscopy and applications (1 paper), Receptor Mechanisms and Signaling (1 paper), S100 Proteins and Annexins (1 paper), Inflammatory mediators and NSAID effects (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Mitochondrial Function and Pathology (1 paper) and Hemispheric Asymmetry in Neuroscience (1 paper). The work is most often cited by research in Neurology (97 citations), Biochemistry (76 citations), Pharmacology (134 citations), Developmental Neuroscience (21 citations) and Biological Psychiatry (11 citations). Koichi Uchimura has collaborated with scholars based in United States and Japan. Frequent co-authors include Raymond L. Zhu, Steven H. Graham, Masaki Nakayama, R. Anne Stetler, Jun Chen, Peter C. Isakson, Tetsuya Nagayama, Marie E. Rose, J. Kuratsu and Kunlin Jin. Their work appears in journals such as Neuroradiology, Proceedings of the National Academy of Sciences, Journal of Cerebral Blood Flow & Metabolism, PubMed and Nosotchu.
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.