Ryu Takeya
Impact in
- Immunology top 1%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Physiology top 1%
- Nitric Oxide and Endothelin Effects
Papers in
-
- Congenital heart defects research 6
- Immunology 22
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 20
- Immune Response and Inflammation 11
- Co-authors
- Hideki Sumimoto (49 shared papers)Kei Miyano (5 shared papers)Noriko Ueno (7 shared papers)Keiichiro Kami (5 shared papers)Daisuke Kohda (5 shared papers)Motoyuki Kohjima (6 shared papers)Futoshi Kuribayashi (4 shared papers)Takashi Ito (4 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)Biochemical and Biophysical Research Communications (6 papers)PLoS ONE (5 papers)The EMBO Journal (4 papers)Genes to Cells (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ryu Takeya
62 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 110
- Immunology 1.6k
- Physiology 1.1k
- Neurology 264
- Cell Biology 540
- Aging 48
Countries citing papers authored by Ryu Takeya
This map shows the geographic impact of Ryu Takeya'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 Ryu Takeya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryu Takeya more than expected).
Fields of papers citing papers by Ryu Takeya
This network shows the impact of papers produced by Ryu Takeya. 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 Ryu Takeya. The network helps show where Ryu Takeya may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryu Takeya, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 317 | |
| 2 | 2005 | 243 | |
| 3 | 2005 | 238 | |
| 4 | 2003 | 183 | |
| 5 | 2005 | 156 | |
| 6 | 2002 | 155 | |
| 7 | 2004 | 124 | |
| 8 | 2001 | 121 | |
| 9 | 2004 | 115 | |
| 10 | 2006 | 111 | |
| 11 | 2008 | 106 | |
| 12 | 2009 | 95 | |
| 13 | 2006 | 85 | |
| 14 | 2001 | 84 | |
| 15 | 2008 | 83 | |
| 16 | 2000 | 75 | |
| 17 | 2003 | 69 | |
| 18 | 2005 | 68 | |
| 19 | 2004 | 66 | |
| 20 | 2005 | 66 |
About Ryu Takeya
Ryu Takeya is a scholar working on Molecular Biology, Immunology, Physiology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (20 papers), Nitric Oxide and Endothelin Effects (13 papers), Immune Response and Inflammation (11 papers), Cardiomyopathy and Myosin Studies (10 papers), Cellular Mechanics and Interactions (7 papers), Congenital heart defects research (6 papers), Pain Mechanisms and Treatments (5 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Immunology (1.6k citations), Physiology (1.1k citations), Neurology (264 citations), Cell Biology (540 citations) and Aging (48 citations). Ryu Takeya has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hideki Sumimoto, Kei Miyano, Noriko Ueno, Keiichiro Kami, Daisuke Kohda, Motoyuki Kohjima, Futoshi Kuribayashi, Takashi Ito, Masahiko Taura and Hiroyuki Nunoi. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, PLoS ONE, The EMBO Journal and Genes to Cells.
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.