Tsuyoshi Sakoda
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Surgery top 5%
- Cell Biology top 2%
- Co-authors
- Seinosuke KawashimaMitsuhiro YokoyamaKozo KaibuchiKen‐ichi HirataMitsumasa OhyanagiTakeshi TsujinoLarry KedesShosei Kishida
- Topics
- Nitric Oxide and Endothelin Effects (8 papers)Protein Kinase Regulation and GTPase Signaling (8 papers)Cardiac Fibrosis and Remodeling (7 papers)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Tsuyoshi Sakoda
54 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.3k
- Cardiology and Cardiovascular Medicine 621
- Physiology 600
- Surgery 539
- Cell Biology 503
Countries citing papers authored by Tsuyoshi Sakoda
This map shows the geographic impact of Tsuyoshi Sakoda'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 Tsuyoshi Sakoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Sakoda more than expected).
Fields of papers citing papers by Tsuyoshi Sakoda
This network shows the impact of papers produced by Tsuyoshi Sakoda. 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 Tsuyoshi Sakoda. The network helps show where Tsuyoshi Sakoda may publish in the future.
Co-authorship network of co-authors of Tsuyoshi Sakoda
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Sakoda. A scholar is included among the top collaborators of Tsuyoshi Sakoda 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 Tsuyoshi Sakoda. Tsuyoshi Sakoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 12 | |
| 3 | 62 | |
| 4 | 119 | |
| 5 | 1 | |
| 6 | 36 | |
| 7 | 38 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 心筋細胞におけるメカニカルストレッチ誘発インターロイキン18(IL-18)発現へのアンジオテンシンサブタイプ1受容体(AT1R)、RhoおよびRhoキナーゼシグナル伝達経路の関与 | 2 |
| 12 | 5 | |
| 13 | グリコーゲンシンターゼキナーゼ-3βはインシュリン様成長因子-1により刺激した心筋肥大の過程に関与する | 14 |
| 14 | 48 | |
| 15 | 8 | |
| 16 | Cardiac myocytes are recruited by bone marrow-derived cells in the intact murine heart | 1 |
| 17 | 106 | |
| 18 | 120 | |
| 19 | 22 | |
| 20 | 19 |
About Tsuyoshi Sakoda
Tsuyoshi Sakoda is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Cardiac Fibrosis and Remodeling (7 papers). The work is most often cited by research in Cell Biology (503 citations), Cardiology and Cardiovascular Medicine (621 citations) and Genetics (268 citations). Tsuyoshi Sakoda has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Seinosuke Kawashima, Mitsuhiro Yokoyama, Kozo Kaibuchi, Ken‐ichi Hirata, Mitsumasa Ohyanagi, Takeshi Tsujino, Larry Kedes, Shosei Kishida, Tohru Masuyama and Joan Dow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.