Yutaka Banno
- Molecular Biology top 5%
- Insect Science top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Biomaterials top 1%
- Genetics top 5%
- Co-authors
- Hiroshi FujiiKohji YamamotoToru ShimadaYoichi AsoSusumu KatsumaKazuei MitaHideki SezutsuTsuguru Fujii
- Topics
- Silkworms and Sericulture Research (70 papers)Silk-based biomaterials and applications (66 papers)Neurobiology and Insect Physiology Research (53 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanChinaUnited States
In The Last Decade
Yutaka Banno
150 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.7k
- Insect Science 1.6k
- Cellular and Molecular Neuroscience 1.1k
- Biomaterials 836
- Genetics 667
Countries citing papers authored by Yutaka Banno
This map shows the geographic impact of Yutaka Banno'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 Yutaka Banno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Banno more than expected).
Fields of papers citing papers by Yutaka Banno
This network shows the impact of papers produced by Yutaka Banno. 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 Yutaka Banno. The network helps show where Yutaka Banno may publish in the future.
Co-authorship network of co-authors of Yutaka Banno
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Banno. A scholar is included among the top collaborators of Yutaka Banno 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 Yutaka Banno. Yutaka Banno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 27 | |
| 3 | 1 | |
| 4 | 76 | |
| 5 | 6 | |
| 6 | 112 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | Comparison of mariner-like Elements among Bombyx mandarina Individuals Inhabiting East Asia in the Light of the Segregation of B. mori and B. mandarina Genomes | 2 |
| 11 | Aseptic Rearing of the Mulberry Wild Silkworm, Bombyx mandarina | 0 |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 2 |
About Yutaka Banno
Yutaka Banno is a scholar working on Insect Science, Biomaterials and Cellular and Molecular Neuroscience, having authored 156 papers that have together received 3.3k indexed citations. Recurring topics across this work include Silkworms and Sericulture Research (70 papers), Silk-based biomaterials and applications (66 papers) and Neurobiology and Insect Physiology Research (53 papers). The work is most often cited by research in Insect Science (1.6k citations), Biomaterials (836 citations) and Cellular and Molecular Neuroscience (1.1k citations). Yutaka Banno has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Hiroshi Fujii, Kohji Yamamoto, Toru Shimada, Yoichi Aso, Susumu Katsuma, Kazuei Mita, Hideki Sezutsu, Tsuguru Fujii, Haruhiko Fujiwara and Kozo Tsuchida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.