Rie Teraoka
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Alzheimer's disease research and treatments 5
-
- Nuclear Receptors and Signaling 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Hiroshi Mori (5 shared papers)Takami Tomiyama (5 shared papers)Hiroshi Takuma (3 shared papers)Hiroyuki Shimada (2 shared papers)Kazuhiro Ito (2 shared papers)Kenichi Ishibashi (2 shared papers)William L. Klein (2 shared papers)Mary P. Lambert (2 shared papers)
- Journals
- Neuroreport (2 papers)Journal of Neuroscience (1 paper)American Journal Of Pathology (1 paper)Annals of Neurology (1 paper)ScholarsArchive (Brigham Young University) (1 paper)
- Partner nations
- JapanUnited StatesBulgaria
In The Last Decade
Rie Teraoka
5 papers receiving 808 citations
Peers
Comparison fields: 5 of 61
- Physiology 707
- Neurology 92
- Pharmacology 169
- Cellular and Molecular Neuroscience 184
- Biological Psychiatry 23
Countries citing papers authored by Rie Teraoka
This map shows the geographic impact of Rie Teraoka'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 Rie Teraoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rie Teraoka more than expected).
Fields of papers citing papers by Rie Teraoka
This network shows the impact of papers produced by Rie Teraoka. 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 Rie Teraoka. The network helps show where Rie Teraoka may publish in the future.
Co-authors
The 22 scholars most cited alongside Rie Teraoka, 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 | 2008 | 337 | |
| 2 | 2010 | 325 | |
| 3 | 2009 | 110 | |
| 4 | 2008 | 27 | |
| 5 | 2007 | 21 | |
| 6 | Developing a Curriculum Evaluation Model for the English Language Center at Brigham Young University | 2010 | 0 |
About Rie Teraoka
Rie Teraoka is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and General Agricultural and Biological Sciences, having authored 6 papers that have together received 820 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Nuclear Receptors and Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Education Systems and Policy (1 paper), S100 Proteins and Annexins (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Physiology (707 citations), Neurology (92 citations), Pharmacology (169 citations), Cellular and Molecular Neuroscience (184 citations) and Biological Psychiatry (23 citations). Rie Teraoka has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include Hiroshi Mori, Takami Tomiyama, Hiroshi Takuma, Hiroyuki Shimada, Kazuhiro Ito, Kenichi Ishibashi, William L. Klein, Mary P. Lambert, Kazuchika Nishitsuji and Shogo Matsuyama. Their work appears in journals such as Neuroreport, Journal of Neuroscience, American Journal Of Pathology, Annals of Neurology and ScholarsArchive (Brigham Young University).
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.