Katsuhiko Ito
- Molecular Biology
- Insect Science top 2%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Immunology
- Co-authors
- Susumu KatsumaToru ShimadaKeiko Kadono‐OkudaJames M. McKelveyEiji MoriKazuei MitaKimiko YamamotoHiroko Tabunoki
- Topics
- Neurobiology and Insect Physiology Research (13 papers)Viral Infectious Diseases and Gene Expression in Insects (13 papers)Rheology and Fluid Dynamics Studies (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Katsuhiko Ito
109 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 450
- Insect Science 364
- Cellular and Molecular Neuroscience 277
- Genetics 231
- Immunology 212
Countries citing papers authored by Katsuhiko Ito
This map shows the geographic impact of Katsuhiko Ito'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 Katsuhiko Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuhiko Ito more than expected).
Fields of papers citing papers by Katsuhiko Ito
This network shows the impact of papers produced by Katsuhiko Ito. 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 Katsuhiko Ito. The network helps show where Katsuhiko Ito may publish in the future.
Co-authorship network of co-authors of Katsuhiko Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhiko Ito. A scholar is included among the top collaborators of Katsuhiko Ito 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 Katsuhiko Ito. Katsuhiko Ito 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 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 16 | |
| 14 | 28 | |
| 15 | 38 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 14 | |
| 19 | Hepatitis C virus infection and rheumatoid arthritis: differential expression of anti-c100-3 and anti-GOR antibodies. | 3 |
| 20 | Study on resonator with directional converter : L-L type converter | 5 |
About Katsuhiko Ito
Katsuhiko Ito is a scholar working on Fluid Flow and Transfer Processes, Insect Science and Cellular and Molecular Neuroscience, having authored 117 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers) and Rheology and Fluid Dynamics Studies (11 papers). The work is most often cited by research in Insect Science (364 citations), Cellular and Molecular Neuroscience (277 citations) and Horticulture (11 citations). Katsuhiko Ito has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Susumu Katsuma, Toru Shimada, Keiko Kadono‐Okuda, James M. McKelvey, Eiji Mori, Kazuei Mita, Kimiko Yamamoto, Hiroko Tabunoki, Takeshi Fujii and Hidemasa Bono. 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.