Masaki Ito
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Pharmacology top 10%
- Physiology
- Co-authors
- Thomas M. CoffmanMichael I. OliverioO. SmithiesNobuo MaedaPeter MannonOliver SmithiesChristopher F. BestNobuyo Maeda
- Topics
- Renin-Angiotensin System Studies (5 papers)Adipose Tissue and Metabolism (4 papers)Hormonal Regulation and Hypertension (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismMolecular Biology
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Masaki Ito
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cardiology and Cardiovascular Medicine 672
- Molecular Biology 546
- Endocrinology, Diabetes and Metabolism 447
- Pharmacology 133
- Physiology 99
Countries citing papers authored by Masaki Ito
This map shows the geographic impact of Masaki 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 Masaki Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Ito more than expected).
Fields of papers citing papers by Masaki Ito
This network shows the impact of papers produced by Masaki 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 Masaki Ito. The network helps show where Masaki Ito may publish in the future.
Co-authorship network of co-authors of Masaki Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Ito. A scholar is included among the top collaborators of Masaki 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 Masaki Ito. Masaki 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 | 1 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 65 | |
| 5 | 17 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 34 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 267 | |
| 12 | 21 | |
| 13 | Regulation of blood pressure by the type 1A angiotensin II receptor gene.breakdown → | 513 |
| 14 | 50 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 1 |
About Masaki Ito
Masaki Ito is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Nephrology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Adipose Tissue and Metabolism (4 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (672 citations), Endocrinology, Diabetes and Metabolism (447 citations) and Molecular Biology (546 citations). Masaki Ito has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Thomas M. Coffman, Michael I. Oliverio, O. Smithies, Nobuo Maeda, Peter Mannon, Oliver Smithies, Christopher F. Best, Nobuyo Maeda, Kimberly D. Kluckman and Sylvia Hiller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Endocrinology.
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.