Satoshi Aida
Impact in
- Aging top 10%
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Melanoma and MAPK Pathways 3
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- Aquaculture Nutrition and Growth 4
- Fish Biology and Ecology Studies 4
- Co-authors
- Tomoko Yaguchi (3 shared papers)Renu Wadhwa (3 shared papers)Sunil C. Kaul (3 shared papers)Kamaljit Kaur (2 shared papers)Tatsuro Irimura (4 shared papers)Kaori Denda‐Nagai (4 shared papers)Wataru Saito (6 shared papers)Ichiro Omura (5 shared papers)
- Journals
- Journal of the American College of Cardiology (4 papers)Japanese Journal of Applied Physics (2 papers)IEEE Transactions on Electron Devices (2 papers)Journal of Biological Chemistry (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Satoshi Aida
35 papers receiving 679 citations
Peers
Comparison fields: 5 of 94
- Aging 24
- Immunology 161
- Aquatic Science 43
- Physiology 25
- Molecular Biology 327
Countries citing papers authored by Satoshi Aida
This map shows the geographic impact of Satoshi Aida'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 Satoshi Aida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Aida more than expected).
Fields of papers citing papers by Satoshi Aida
This network shows the impact of papers produced by Satoshi Aida. 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 Satoshi Aida. The network helps show where Satoshi Aida may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Aida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 108 | |
| 2 | 2005 | 78 | |
| 3 | 2010 | 67 | |
| 4 | 2009 | 49 | |
| 5 | 2007 | 46 | |
| 6 | 2003 | 38 | |
| 7 | 2005 | 32 | |
| 8 | 1995 | 31 | |
| 9 | 2017 | 26 | |
| 10 | 2006 | 22 | |
| 11 | 1997 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2002 | 17 | |
| 14 | 2008 | 16 | |
| 15 | 2002 | 15 | |
| 16 | 1998 | 14 | |
| 17 | 1998 | 13 | |
| 18 | 1999 | 10 | |
| 19 | 1994 | 10 | |
| 20 | 2017 | 9 |
About Satoshi Aida
Satoshi Aida is a scholar working on Molecular Biology, Aquatic Science, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine and Immunology, having authored 39 papers that have together received 704 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (6 papers), Cardiovascular Function and Risk Factors (5 papers), Immunotherapy and Immune Responses (4 papers), Aquaculture Nutrition and Growth (4 papers), Fish Biology and Ecology Studies (4 papers), Melanoma and MAPK Pathways (3 papers), Hemodynamic Monitoring and Therapy (3 papers) and GaN-based semiconductor devices and materials (3 papers). The work is most often cited by research in Aging (24 citations), Immunology (161 citations), Aquatic Science (43 citations), Physiology (25 citations) and Molecular Biology (327 citations). Satoshi Aida has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Tomoko Yaguchi, Renu Wadhwa, Sunil C. Kaul, Kamaljit Kaur, Tatsuro Irimura, Kaori Denda‐Nagai, Wataru Saito, Ichiro Omura, T. Ogura and Yosuke Kumamoto. Their work appears in journals such as Journal of the American College of Cardiology, Japanese Journal of Applied Physics, IEEE Transactions on Electron Devices, Journal of Biological Chemistry and Molecular Cancer Therapeutics.
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.