Tsukasa Sanada
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cellular and Molecular Neuroscience
- Pharmacology
- Co-authors
- Takeo WadaYumiko ShiboutaKeiji KuboKohei NishikawaMami OjimaM OjimaYasuhisa KoharaYasuhiro Inada
- Topics
- Hormonal Regulation and Hypertension (7 papers)Renin-Angiotensin System Studies (5 papers)Synthesis of Tetrazole Derivatives (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismMolecular Biology
- Journals
- Journal of Pharmacology and Experimental TherapeuticsEuropean Journal of PharmacologyBioorganic & Medicinal Chemistry
- Partner nations
- JapanUnited States
In The Last Decade
Tsukasa Sanada
13 papers receiving 463 citations
Peers
Comparison fields: 5 of 64
- Cardiology and Cardiovascular Medicine 345
- Molecular Biology 215
- Endocrinology, Diabetes and Metabolism 197
- Cellular and Molecular Neuroscience 46
- Pharmacology 45
Countries citing papers authored by Tsukasa Sanada
This map shows the geographic impact of Tsukasa Sanada'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 Tsukasa Sanada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsukasa Sanada more than expected).
Fields of papers citing papers by Tsukasa Sanada
This network shows the impact of papers produced by Tsukasa Sanada. 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 Tsukasa Sanada. The network helps show where Tsukasa Sanada may publish in the future.
Co-authorship network of co-authors of Tsukasa Sanada
This figure shows the co-authorship network connecting the top 25 collaborators of Tsukasa Sanada. A scholar is included among the top collaborators of Tsukasa Sanada 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 Tsukasa Sanada. Tsukasa Sanada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 122 | |
| 6 | 2 | |
| 7 | Angiotensin II receptor antagonistic action of candesartan (CV-11974) in the rabbit aorta | 2 |
| 8 | 14 | |
| 9 | 15 | |
| 10 | TCV-116 inhibits renal interstitial and glomerular injury in glomerulosclerotic rats. | 10 |
| 11 | 27 | |
| 12 | 67 | |
| 13 | 200 |
About Tsukasa Sanada
Tsukasa Sanada is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 13 papers that have together received 491 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Renin-Angiotensin System Studies (5 papers) and Synthesis of Tetrazole Derivatives (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (345 citations), Endocrinology, Diabetes and Metabolism (197 citations) and Molecular Biology (215 citations). Tsukasa Sanada has collaborated with scholars based in Japan and United States. Frequent co-authors include Takeo Wada, Yumiko Shibouta, Keiji Kubo, Kohei Nishikawa, Mami Ojima, M Ojima, Yasuhisa Kohara, Yasuhiro Inada, Takehiko Naka and Yoshiyuki Inada. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology and Bioorganic & Medicinal Chemistry.
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.