Kinya Ito
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 2
- Genetics 4
- Mesenchymal stem cell research 3
- Co-authors
- Junya Toguchida (6 shared papers)Moritoshi Furu (6 shared papers)Takashi Nakamura (5 shared papers)Kenichi Fukiage (5 shared papers)Seiji Otsuka (5 shared papers)Tomitaka Nakayama (4 shared papers)Shunsuke Fujibayashi (2 shared papers)Kotaro R. Shibata (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Stem Cells (1 paper)Tissue Engineering Part C Methods (1 paper)Journal of Biological Chemistry (1 paper)Agricultural and Forest Meteorology (1 paper)
- Partner nations
- JapanUnited StatesIran
In The Last Decade
Kinya Ito
14 papers receiving 381 citations
Peers
Comparison fields: 5 of 73
- Genetics 206
- Urology 25
- Cancer Research 42
- Physiology 70
- Orthopedics and Sports Medicine 22
Countries citing papers authored by Kinya Ito
This map shows the geographic impact of Kinya 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 Kinya Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinya Ito more than expected).
Fields of papers citing papers by Kinya Ito
This network shows the impact of papers produced by Kinya 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 Kinya Ito. The network helps show where Kinya Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Kinya Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 180 | |
| 2 | 2014 | 48 | |
| 3 | 2007 | 35 | |
| 4 | 2010 | 34 | |
| 5 | 2009 | 25 | |
| 6 | 2013 | 23 | |
| 7 | 2007 | 16 | |
| 8 | 2011 | 14 | |
| 9 | 2012 | 3 | |
| 10 | 2012 | 3 | |
| 11 | 1996 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 1963 | 1 | |
| 14 | 1996 | 1 |
About Kinya Ito
Kinya Ito is a scholar working on Molecular Biology, Genetics, Nature and Landscape Conservation, Mechanical Engineering and Surgery, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Surface Treatment and Residual Stress (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Forest ecology and management (2 papers), Cancer-related gene regulation (2 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Aluminum Alloy Microstructure Properties (1 paper). The work is most often cited by research in Genetics (206 citations), Urology (25 citations), Cancer Research (42 citations), Physiology (70 citations) and Orthopedics and Sports Medicine (22 citations). Kinya Ito has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Junya Toguchida, Moritoshi Furu, Takashi Nakamura, Kenichi Fukiage, Seiji Otsuka, Tomitaka Nakayama, Shunsuke Fujibayashi, Kotaro R. Shibata, Masashi Neo and Yasuko Shima. Their work appears in journals such as Biochemical and Biophysical Research Communications, Stem Cells, Tissue Engineering Part C Methods, Journal of Biological Chemistry and Agricultural and Forest Meteorology.
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.