Hiroki Ito
- Molecular Biology top 10%
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Plant Science top 5%
- Biomedical Engineering top 10%
- Co-authors
- Daisuke YamamotoYoshiyasu KamiyamaMasahiko HiroseKisaburo DeguchiHiroaki NakagawaShin‐Ichiro NishimuraYasuhiro TakegawaKazuko Fujitani
- Topics
- Neurobiology and Insect Physiology Research (12 papers)Glycosylation and Glycoproteins Research (11 papers)Power Transformer Diagnostics and Insulation (10 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hiroki Ito
135 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 867
- Electrical and Electronic Engineering 641
- Cellular and Molecular Neuroscience 549
- Plant Science 489
- Biomedical Engineering 427
Countries citing papers authored by Hiroki Ito
This map shows the geographic impact of Hiroki 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 Hiroki Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Ito more than expected).
Fields of papers citing papers by Hiroki Ito
This network shows the impact of papers produced by Hiroki 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 Hiroki Ito. The network helps show where Hiroki Ito may publish in the future.
Co-authorship network of co-authors of Hiroki Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Ito. A scholar is included among the top collaborators of Hiroki 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 Hiroki Ito. Hiroki 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 | 3 | |
| 2 | 0 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 47 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 43 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 71 | |
| 15 | 8 | |
| 16 | 32 | |
| 17 | 30 | |
| 18 | 106 | |
| 19 | Collision Analysis Using Analytical Approach | 1 |
| 20 | 32 |
About Hiroki Ito
Hiroki Ito is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Spectroscopy, having authored 142 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Glycosylation and Glycoproteins Research (11 papers) and Power Transformer Diagnostics and Insulation (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (549 citations), Aging (48 citations) and Water Science and Technology (335 citations). Hiroki Ito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Daisuke Yamamoto, Yoshiyasu Kamiyama, Masahiko Hirose, Kisaburo Deguchi, Hiroaki Nakagawa, Shin‐Ichiro Nishimura, Yasuhiro Takegawa, Kazuko Fujitani, Keisuke Usui and Keiko Shimizu‐Nishikawa. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.