Kimihito Ito
- Epidemiology top 5%
- Infectious Diseases top 2%
- Molecular Biology
- Plant Science top 10%
- Immunology
- Co-authors
- Manabu IgarashiAyato TakadaChayada PianthamHiroshi NishiuraHiroshi KidaReiko YoshidaGabriel GonzálezNoriko Kishida
- Topics
- Influenza Virus Research Studies (30 papers)Respiratory viral infections research (18 papers)Viral gastroenteritis research and epidemiology (13 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesZambia
In The Last Decade
Kimihito Ito
72 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 112
- Epidemiology 877
- Infectious Diseases 815
- Molecular Biology 360
- Plant Science 253
- Immunology 207
Countries citing papers authored by Kimihito Ito
This map shows the geographic impact of Kimihito 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 Kimihito Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimihito Ito more than expected).
Fields of papers citing papers by Kimihito Ito
This network shows the impact of papers produced by Kimihito 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 Kimihito Ito. The network helps show where Kimihito Ito may publish in the future.
Co-authorship network of co-authors of Kimihito Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Kimihito Ito. A scholar is included among the top collaborators of Kimihito 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 Kimihito Ito. Kimihito 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 | 6 | |
| 3 | 15 | |
| 4 | 48 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 128 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 27 | |
| 12 | 4 | |
| 13 | 25 | |
| 14 | The closest-neighbor trimming method : A resampling algorithm for nucleotide sequence datasets | 1 |
| 15 | 1 | |
| 16 | 26 | |
| 17 | 10 | |
| 18 | Prediction of N-glycosylation potential of influenza virus hemagglutinin by a bioinformatic approach | 2 |
| 19 | 12 | |
| 20 | Web Application Wrapping by Demonstration. | 1 |
About Kimihito Ito
Kimihito Ito is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (30 papers), Respiratory viral infections research (18 papers) and Viral gastroenteritis research and epidemiology (13 papers). The work is most often cited by research in Infectious Diseases (815 citations), Modeling and Simulation (146 citations) and Epidemiology (877 citations). Kimihito Ito has collaborated with scholars based in Japan, United States and Zambia. Frequent co-authors include Manabu Igarashi, Ayato Takada, Chayada Piantham, Hiroshi Nishiura, Hiroshi Kida, Reiko Yoshida, Gabriel González, Noriko Kishida, Hirofumi Sawa and Hiroichi Ozaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.
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.