Ryu Ueda
Impact in
- Aging top 1%
- Insect Science top 0.5%
- Insect symbiosis and bacterial influences
Papers in
-
- Developmental Biology and Gene Regulation 9
- Insect Resistance and Genetics 8
- Glycosylation and Glycoproteins Research 7
- CRISPR and Genetic Engineering 7
-
- Neurobiology and Insect Physiology Research 29
- Co-authors
- Shu Kondo (5 shared papers)Bruno Lemaître (8 shared papers)Kuniaki Takahashi (16 shared papers)Kaoru Saigo (10 shared papers)Shoko Nishihara (13 shared papers)Sébastien Pili‐Floury (2 shared papers)Mickaël Poidevin (2 shared papers)François Leulier (2 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Current Biology (7 papers)Genetics (3 papers)Molecular and Cellular Biology (3 papers)Genes to Cells (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Ryu Ueda
78 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 110
- Aging 277
- Insect Science 1.3k
- Immunology 1.9k
- Cellular and Molecular Neuroscience 1.7k
- Endocrine and Autonomic Systems 346
Countries citing papers authored by Ryu Ueda
This map shows the geographic impact of Ryu Ueda'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 Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryu Ueda more than expected).
Fields of papers citing papers by Ryu Ueda
This network shows the impact of papers produced by Ryu Ueda. 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 Ueda. The network helps show where Ryu Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryu Ueda, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 448 | |
| 2 | 2006 | 394 | |
| 3 | 2008 | 302 | |
| 4 | 2006 | 301 | |
| 5 | 2002 | 244 | |
| 6 | 2006 | 230 | |
| 7 | 2005 | 196 | |
| 8 | 2003 | 182 | |
| 9 | 2006 | 172 | |
| 10 | 2002 | 169 | |
| 11 | 2015 | 156 | |
| 12 | 2004 | 147 | |
| 13 | 2007 | 142 | |
| 14 | 2007 | 132 | |
| 15 | 1998 | 131 | |
| 16 | 2007 | 128 | |
| 17 | 2003 | 113 | |
| 18 | 2006 | 111 | |
| 19 | 2001 | 109 | |
| 20 | 2004 | 95 |
About Ryu Ueda
Ryu Ueda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Cell Biology and Insect Science, having authored 79 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (29 papers), Invertebrate Immune Response Mechanisms (26 papers), Insect symbiosis and bacterial influences (10 papers), Developmental Biology and Gene Regulation (9 papers), Insect Resistance and Genetics (8 papers), Glycosylation and Glycoproteins Research (7 papers), CRISPR and Genetic Engineering (7 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Aging (277 citations), Insect Science (1.3k citations), Immunology (1.9k citations), Cellular and Molecular Neuroscience (1.7k citations) and Endocrine and Autonomic Systems (346 citations). Ryu Ueda has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Shu Kondo, Bruno Lemaître, Kuniaki Takahashi, Kaoru Saigo, Shoko Nishihara, Sébastien Pili‐Floury, Mickaël Poidevin, François Leulier, Daisuke Yamamoto and Kei Ito. Their work appears in journals such as Journal of Biological Chemistry, Current Biology, Genetics, Molecular and Cellular Biology 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.