Taiji Oashi
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 2
- Genetics top 10%
- Diabetes and associated disorders 2
- Virus-based gene therapy research 1
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- Chemical Synthesis and Analysis 2
- Melanoma and MAPK Pathways 2
- Protein Kinase Regulation and GTPase Signaling 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Yaron TomerEric M. JacobsonErlinda ConcepcionRoman OsmanAlexander D. MacKerellR OsmanY. BanKosj Yamoah
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Molecular Biology (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Taiji Oashi
14 papers receiving 669 citations
Peers
Comparison fields: 5 of 82
- Immunology 216
- Endocrinology, Diabetes and Metabolism 150
- Genetics 214
- Microbiology 32
- Molecular Biology 329
Countries citing papers authored by Taiji Oashi
This map shows the geographic impact of Taiji Oashi'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 Taiji Oashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiji Oashi more than expected).
Fields of papers citing papers by Taiji Oashi
This network shows the impact of papers produced by Taiji Oashi. 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 Taiji Oashi. The network helps show where Taiji Oashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taiji Oashi, 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 | 2024 | 0 | |
| 2 | 2020 | 12 | |
| 3 | 2016 | 59 | |
| 4 | 2015 | 29 | |
| 5 | 2013 | 50 | |
| 6 | 2012 | 8 | |
| 7 | 2011 | 17 | |
| 8 | 2011 | 23 | |
| 9 | 2010 | 21 | |
| 10 | 2008 | 80 | |
| 11 | 2008 | 90 | |
| 12 | 2005 | 169 | |
| 13 | 2004 | 113 | |
| 14 | Proceedings: Analysis of drug-induced supersensitization in isolated vas deferens of rat. | 1974 | 0 |
| 15 | Ultrastructural findings of adenovirus type 12-induced tumor cells treated by differential hypothermia. | 1972 | 0 |
| 16 | ["Spot Scotometry (Awaya)". A new method to examine scotomas under direct ophthalmoscopy by using visuscope (euthyscope)]. | 1971 | 4 |
| 17 | [Case of familial Waldenström's macroglobulinemia with plasma cell leukemia and collection of 38 cases reported in Japan]. | 1970 | 1 |
About Taiji Oashi
Taiji Oashi is a scholar working on Biochemistry, Immunology and Microbiology, having authored 17 papers that have together received 676 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Chemical Synthesis and Analysis (2 papers), Immune Cell Function and Interaction (2 papers), Melanoma and MAPK Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Diabetes and associated disorders (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Immunology (216 citations), Endocrinology, Diabetes and Metabolism (150 citations) and Genetics (214 citations). Taiji Oashi has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Yaron Tomer, Eric M. Jacobson, Erlinda Concepcion, Roman Osman, Alexander D. MacKerell, R Osman, Y. Ban, Kosj Yamoah, Antonio Sarikas and Zhen‐Qiang Pan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Biochemistry.
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.