Daisuke Ito
Impact in
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- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
- Oncology top 10%
- Chemokine receptors and signaling
Papers in
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- Metabolism, Diabetes, and Cancer 7
- Surgery 13
- Pancreatic function and diabetes 3
- Co-authors
- Kazuhiro Kami (2 shared papers)Eiji Toyoda (2 shared papers)Toshihiko Masui (2 shared papers)Masayuki Imamura (2 shared papers)Ryuichiro Doi (2 shared papers)Masayuki Koizumi (2 shared papers)Tomohiko Mori (2 shared papers)Nobutaka Fujii (2 shared papers)
- Journals
- Journal of Hypertension (2 papers)Clinical & Experimental Metastasis (2 papers)Clinical and Experimental Pharmacology and Physiology (2 papers)Polymer (1 paper)Diabetes Care (1 paper)
- Partner nations
- JapanUnited StatesNepal
In The Last Decade
Daisuke Ito
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 283
- Oncology 291
- Reproductive Medicine 84
- Molecular Biology 573
- Epidemiology 225
Countries citing papers authored by Daisuke Ito
This map shows the geographic impact of Daisuke 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 Daisuke Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Ito more than expected).
Fields of papers citing papers by Daisuke Ito
This network shows the impact of papers produced by Daisuke 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 Daisuke Ito. The network helps show where Daisuke Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 379 | |
| 2 | 2017 | 227 | |
| 3 | 2004 | 117 | |
| 4 | 2014 | 79 | |
| 5 | 2003 | 60 | |
| 6 | 2011 | 53 | |
| 7 | 2005 | 34 | |
| 8 | 2002 | 32 | |
| 9 | 2010 | 27 | |
| 10 | 2010 | 27 | |
| 11 | 2012 | 21 | |
| 12 | 2016 | 19 | |
| 13 | 2013 | 18 | |
| 14 | 2011 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2006 | 13 | |
| 17 | 2020 | 11 | |
| 18 | 2016 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 2024 | 8 |
About Daisuke Ito
Daisuke Ito is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Physiology and Oncology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Nitric Oxide and Endothelin Effects (5 papers), Renin-Angiotensin System Studies (3 papers), Advanced MRI Techniques and Applications (3 papers), Radiation Dose and Imaging (3 papers), Cancer-related Molecular Pathways (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (283 citations), Oncology (291 citations), Reproductive Medicine (84 citations), Molecular Biology (573 citations) and Epidemiology (225 citations). Daisuke Ito has collaborated with scholars based in Japan, United States and Nepal. Frequent co-authors include Kazuhiro Kami, Eiji Toyoda, Toshihiko Masui, Masayuki Imamura, Ryuichiro Doi, Masayuki Koizumi, Tomohiko Mori, Nobutaka Fujii, Koji Fujimoto and Hirokazu Tamamura. Their work appears in journals such as Journal of Hypertension, Clinical & Experimental Metastasis, Clinical and Experimental Pharmacology and Physiology, Polymer and Diabetes Care.
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.