Kunio Sugahara
- Immunology top 5%
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 8
- T-cell and Retrovirus Studies 3
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling 23
- Inflammasome and immune disorders 7
- Hematology top 5%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Pathology and Forensic Medicine top 10%
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- Systemic Lupus Erythematosus Research 5
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- Carbohydrate Chemistry and Synthesis 4
- Co-authors
- Kenji ChibaHirotoshi KataokaYasuhiro MaedaKyoko ShimanoHirofumi MatsuyukiTakafumi KawaguchiYoshiki YanagawaAtsushi Fukunari
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Kunio Sugahara
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Immunology 539
- Molecular Biology 1.1k
- Hematology 169
- Neurology 109
- Pathology and Forensic Medicine 190
Countries citing papers authored by Kunio Sugahara
This map shows the geographic impact of Kunio Sugahara'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 Kunio Sugahara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunio Sugahara more than expected).
Fields of papers citing papers by Kunio Sugahara
This network shows the impact of papers produced by Kunio Sugahara. 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 Kunio Sugahara. The network helps show where Kunio Sugahara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunio Sugahara, 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 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 4 | |
| 4 | 2019 | 29 | |
| 5 | 2016 | 8 | |
| 6 | 2013 | 10 | |
| 7 | 2010 | 43 | |
| 8 | 2010 | 55 | |
| 9 | 2009 | 62 | |
| 10 | 2007 | 113 | |
| 11 | 2005 | 14 | |
| 12 | 2005 | 24 | |
| 13 | FTY720, sphingosine 1-phosphate receptor modulator, ameliorates experimental autoimmune encephalomyelitis by inhibition of T cell infiltration. | 2005 | 183 |
| 14 | 2004 | 31 | |
| 15 | 2004 | 58 | |
| 16 | 2003 | 40 | |
| 17 | [Biosynthetic mechanism of sulfated glycosaminoglycans]. | 2001 | 2 |
| 18 | 1999 | 32 | |
| 19 | 1999 | 66 | |
| 20 | 1975 | 2 |
About Kunio Sugahara
Kunio Sugahara is a scholar working on Immunology, Hematology and Rheumatology, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (23 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), Inflammasome and immune disorders (7 papers), Systemic Lupus Erythematosus Research (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), T-cell and Retrovirus Studies (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Immunology (539 citations), Molecular Biology (1.1k citations) and Hematology (169 citations). Kunio Sugahara has collaborated with scholars based in Japan and United States. Frequent co-authors include Kenji Chiba, Hirotoshi Kataoka, Yasuhiro Maeda, Kyoko Shimano, Hirofumi Matsuyuki, Takafumi Kawaguchi, Yoshiki Yanagawa, Atsushi Fukunari, Mamoru Koyama and Koji Teshima. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.