Naoki Itabashi
Impact in
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- Hormonal Regulation and Hypertension
- Diabetes Treatment and Management
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
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- Peroxisome Proliferator-Activated Receptors 3
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- Hormonal Regulation and Hypertension 5
- Diabetes Treatment and Management 2
- Co-authors
- Shun Ishibashi (7 shared papers)Koji Okada (9 shared papers)Nobuya Fujita (7 shared papers)Genro Fujisawa (3 shared papers)Shigeaki Muto (3 shared papers)Eiji Kusano (2 shared papers)Hiroyuki Ohbayashi (5 shared papers)Kazuomi Kario (4 shared papers)
In The Last Decade
Naoki Itabashi
17 papers receiving 324 citations
Peers
Comparison fields: 5 of 55
- Endocrinology, Diabetes and Metabolism 184
- Nephrology 39
- Cardiology and Cardiovascular Medicine 93
- Clinical Biochemistry 19
- Surgery 66
Countries citing papers authored by Naoki Itabashi
This map shows the geographic impact of Naoki Itabashi'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 Naoki Itabashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Itabashi more than expected).
Fields of papers citing papers by Naoki Itabashi
This network shows the impact of papers produced by Naoki Itabashi. 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 Naoki Itabashi. The network helps show where Naoki Itabashi may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Itabashi, 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 | 2004 | 153 | |
| 2 | 2003 | 42 | |
| 3 | 2018 | 32 | |
| 4 | 2003 | 24 | |
| 5 | 2002 | 20 | |
| 6 | 2024 | 14 | |
| 7 | 2005 | 7 | |
| 8 | 2002 | 6 | |
| 9 | 2008 | 6 | |
| 10 | A novel enhancer of insulinotrophic action by high glucose (JTT-608) stimulates insulin secretion from pancreatic beta-cells via a new cellular mechanism. | 2001 | 5 |
| 11 | 1999 | 4 | |
| 12 | 2025 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2001 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 0 |
About Naoki Itabashi
Naoki Itabashi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 18 papers that have together received 329 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Sodium Intake and Health (3 papers), Blood Pressure and Hypertension Studies (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Virtual Reality Applications and Impacts (2 papers), Diabetes Treatment and Management (2 papers), Pancreatic function and diabetes (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (184 citations), Nephrology (39 citations), Cardiology and Cardiovascular Medicine (93 citations), Clinical Biochemistry (19 citations) and Surgery (66 citations). Naoki Itabashi has collaborated with scholars based in Japan and Australia. Frequent co-authors include Shun Ishibashi, Koji Okada, Nobuya Fujita, Genro Fujisawa, Shigeaki Muto, Eiji Kusano, Hiroyuki Ohbayashi, Kazuomi Kario, Yusuke Furukawa and Toshikazu Saito. Their work appears in journals such as Hypertension Research, American Journal of Physiology-Heart and Circulatory Physiology, Diabetes Research and Clinical Practice, Hypertension and Kidney International Reports.
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.