Takeshi Ito
- Molecular Biology top 5%
- Plant Science top 5%
- Biomedical Engineering top 10%
- Oncology top 10%
- Building and Construction top 5%
- Co-authors
- Jutarou FukazawaYohsuke TakahashiYutaka NakashimadaNaomichi NishioTomoaki MatsuiKatsuya ShirakiTakeshi NakanoHirokazu Kawano
- Topics
- Plant Molecular Biology Research (13 papers)Plant Reproductive Biology (9 papers)Plant Gene Expression Analysis (6 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takeshi Ito
59 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.5k
- Plant Science 637
- Biomedical Engineering 365
- Oncology 257
- Building and Construction 175
Countries citing papers authored by Takeshi Ito
This map shows the geographic impact of Takeshi 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 Takeshi Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Ito more than expected).
Fields of papers citing papers by Takeshi Ito
This network shows the impact of papers produced by Takeshi 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 Takeshi Ito. The network helps show where Takeshi Ito may publish in the future.
Co-authorship network of co-authors of Takeshi Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Ito. A scholar is included among the top collaborators of Takeshi 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 Takeshi Ito. Takeshi 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 | 11 | |
| 2 | 34 | |
| 3 | 16 | |
| 4 | 24 | |
| 5 | 23 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 387 | |
| 9 | 7 | |
| 10 | 52 | |
| 11 | 34 | |
| 12 | 18 | |
| 13 | 212 | |
| 14 | 177 | |
| 15 | 171 | |
| 16 | Clinical Features of Eighty-six Diabetic Patients with Post-treatment Painful Neuropathy. | 6 |
| 17 | 26 | |
| 18 | 50 | |
| 19 | Comparison of growth, yield, and flowering characteristics between micropropagated asparagus [Asparagus officinalis] clones derived by somatic embryogenesis and seed-propagated progenies | 2 |
| 20 | 56 |
About Takeshi Ito
Takeshi Ito is a scholar working on Molecular Biology, Plant Science and Cell Biology, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (9 papers) and Plant Gene Expression Analysis (6 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Plant Science (637 citations) and Building and Construction (175 citations). Takeshi Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jutarou Fukazawa, Yohsuke Takahashi, Yutaka Nakashimada, Naomichi Nishio, Tomoaki Matsui, Katsuya Shiraki, Takeshi Nakano, Hirokazu Kawano, Masayuki Miura and Kouichi Akahane. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.