Keiko Kadono‐Okuda
- Molecular Biology top 10%
- Insect Science top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Immunology top 5%
- Genetics top 5%
- Co-authors
- Kazuei MitaMarian R. GoldsmithMinoru YamakawaYusuke KatoKiyoko TaniaiKimiko YamamotoJunko NohataTakashi Okuda
- Topics
- Viral Infectious Diseases and Gene Expression in Insects (24 papers)Neurobiology and Insect Physiology Research (18 papers)Silk-based biomaterials and applications (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Keiko Kadono‐Okuda
62 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 1.2k
- Insect Science 1.1k
- Cellular and Molecular Neuroscience 591
- Immunology 551
- Genetics 402
Countries citing papers authored by Keiko Kadono‐Okuda
This map shows the geographic impact of Keiko Kadono‐Okuda'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 Keiko Kadono‐Okuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Kadono‐Okuda more than expected).
Fields of papers citing papers by Keiko Kadono‐Okuda
This network shows the impact of papers produced by Keiko Kadono‐Okuda. 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 Keiko Kadono‐Okuda. The network helps show where Keiko Kadono‐Okuda may publish in the future.
Co-authorship network of co-authors of Keiko Kadono‐Okuda
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Kadono‐Okuda. A scholar is included among the top collaborators of Keiko Kadono‐Okuda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keiko Kadono‐Okuda. Keiko Kadono‐Okuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 24 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 76 | |
| 8 | 28 | |
| 9 | 99 | |
| 10 | 38 | |
| 11 | 1 | |
| 12 | 88 | |
| 13 | 15 | |
| 14 | 19 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | 39 |
About Keiko Kadono‐Okuda
Keiko Kadono‐Okuda is a scholar working on Insect Science, Biomaterials and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (24 papers), Neurobiology and Insect Physiology Research (18 papers) and Silk-based biomaterials and applications (18 papers). The work is most often cited by research in Insect Science (1.1k citations), Cellular and Molecular Neuroscience (591 citations) and Biomaterials (386 citations). Keiko Kadono‐Okuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuei Mita, Marian R. Goldsmith, Minoru Yamakawa, Yusuke Kato, Kiyoko Taniai, Kimiko Yamamoto, Junko Nohata, Takashi Okuda, Toru Shimada and Okitsugu Yamashita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.