Kenichiro Ito
Impact in
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
- Endocrinology top 5%
Papers in
-
- Advanced biosensing and bioanalysis techniques 9
- RNA Interference and Gene Delivery 7
- Glycosylation and Glycoproteins Research 6
- Oncology 13
- Co-authors
- Makoto Komiyama (8 shared papers)Yan Xu (6 shared papers)Koji Kimata (5 shared papers)S Suzuki (4 shared papers)Yuta Suzuki (2 shared papers)Hiroaki Suga (8 shared papers)Ian M. Adcock (1 shared paper)Mitsuko Sobue (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Biological and Pharmaceutical Bulletin (3 papers)Scientific Reports (2 papers)Chemical Communications (2 papers)Molecules (2 papers)
- Partner nations
- JapanUnited StatesArmenia
In The Last Decade
Kenichiro Ito
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Cell Biology 285
- Endocrinology 88
- Molecular Biology 897
- Immunology and Allergy 63
- Rheumatology 138
Countries citing papers authored by Kenichiro Ito
This map shows the geographic impact of Kenichiro 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 Kenichiro Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichiro Ito more than expected).
Fields of papers citing papers by Kenichiro Ito
This network shows the impact of papers produced by Kenichiro 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 Kenichiro Ito. The network helps show where Kenichiro Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenichiro 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
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 154 | |
| 2 | 2009 | 93 | |
| 3 | 2015 | 90 | |
| 4 | 1987 | 75 | |
| 5 | Molecular mechanisms of corticosteroid actions. | 2000 | 74 |
| 6 | 1978 | 68 | |
| 7 | 1978 | 64 | |
| 8 | 1982 | 59 | |
| 9 | 2019 | 58 | |
| 10 | 2013 | 52 | |
| 11 | 1978 | 49 | |
| 12 | 1989 | 44 | |
| 13 | 2012 | 43 | |
| 14 | 1979 | 40 | |
| 15 | 2020 | 37 | |
| 16 | 1999 | 31 | |
| 17 | 2011 | 31 | |
| 18 | 2020 | 31 | |
| 19 | 2017 | 30 | |
| 20 | 2024 | 27 |
About Kenichiro Ito
Kenichiro Ito is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Proteoglycans and glycosaminoglycans research (7 papers), Escherichia coli research studies (6 papers), Glycosylation and Glycoproteins Research (6 papers), Lung Cancer Treatments and Mutations (6 papers) and Liver physiology and pathology (5 papers). The work is most often cited by research in Cell Biology (285 citations), Endocrinology (88 citations), Molecular Biology (897 citations), Immunology and Allergy (63 citations) and Rheumatology (138 citations). Kenichiro Ito has collaborated with scholars based in Japan, United States and Armenia. Frequent co-authors include Makoto Komiyama, Yan Xu, Koji Kimata, S Suzuki, Yuta Suzuki, Hiroaki Suga, Ian M. Adcock, Mitsuko Sobue, Toby Passioura and Sakaru Suzuki. Their work appears in journals such as Journal of Biological Chemistry, Biological and Pharmaceutical Bulletin, Scientific Reports, Chemical Communications and Molecules.
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.