Ryu Ueda
Impact in
- Aging top 2%
-
- Neurobiology and Insect Physiology Research
Papers in
- Cell Biology 16
- Cellular transport and secretion 6
-
- Neurobiology and Insect Physiology Research 15
- Co-authors
- Shu Kondo (5 shared papers)Bruno Lemaître (8 shared papers)Kuniaki Takahashi (15 shared papers)Kaoru Saigo (10 shared papers)Shoko Nishihara (13 shared papers)Sébastien Pili‐Floury (2 shared papers)Mickaël Poidevin (2 shared papers)Daisuke Yamamoto (7 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Current Biology (7 papers)Genetics (4 papers)PLoS ONE (3 papers)Genes to Cells (3 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Ryu Ueda
82 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 102
- Aging 144
- Cellular and Molecular Neuroscience 1.2k
- Immunology 1.4k
- Cell Biology 647
- Molecular Biology 2.5k
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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 459 | |
| 2 | 2015 | 423 | |
| 3 | 2006 | 402 | |
| 4 | 2008 | 314 | |
| 5 | 2006 | 304 | |
| 6 | 2002 | 255 | |
| 7 | 2006 | 225 | |
| 8 | 2015 | 210 | |
| 9 | 2005 | 197 | |
| 10 | 2003 | 183 | |
| 11 | 2006 | 176 | |
| 12 | 2002 | 167 | |
| 13 | 2015 | 162 | |
| 14 | 2004 | 140 | |
| 15 | 1998 | 132 | |
| 16 | 2007 | 132 | |
| 17 | 2007 | 127 | |
| 18 | 2003 | 118 | |
| 19 | 2006 | 112 | |
| 20 | 2001 | 111 |
About Ryu Ueda
Ryu Ueda is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Aging, having authored 82 papers that have together received 6.3k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (18 papers), Neurobiology and Insect Physiology Research (15 papers), Invertebrate Immune Response Mechanisms (10 papers), Glycosylation and Glycoproteins Research (7 papers), Cellular transport and secretion (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Genomics and Chromatin Dynamics (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Aging (144 citations), Cellular and Molecular Neuroscience (1.2k citations), Immunology (1.4k citations), Cell Biology (647 citations) and Molecular Biology (2.5k citations). Ryu Ueda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shu Kondo, Bruno Lemaître, Kuniaki Takahashi, Kaoru Saigo, Shoko Nishihara, Sébastien Pili‐Floury, Mickaël Poidevin, Daisuke Yamamoto, François Leulier and Satoshi Goto. Their work appears in journals such as Journal of Biological Chemistry, Current Biology, Genetics, PLoS ONE 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.