Tsuyoshi Goto
- Molecular Biology top 2%
- Physiology top 0.5%
- Epidemiology top 2%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Teruo KawadaNobuyuki TakahashiRina YuShizuka HiraiTaku UemuraTomoya SakamotoMin‐Sook KangMinji Kim
- Topics
- Adipose Tissue and Metabolism (97 papers)Peroxisome Proliferator-Activated Receptors (58 papers)Adipokines, Inflammation, and Metabolic Diseases (57 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Tsuyoshi Goto
231 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.6k
- Physiology 2.4k
- Epidemiology 1.6k
- Surgery 1.1k
- Endocrinology, Diabetes and Metabolism 745
Countries citing papers authored by Tsuyoshi Goto
This map shows the geographic impact of Tsuyoshi Goto'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 Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Goto more than expected).
Fields of papers citing papers by Tsuyoshi Goto
This network shows the impact of papers produced by Tsuyoshi Goto. 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 Goto. The network helps show where Tsuyoshi Goto may publish in the future.
Co-authorship network of co-authors of Tsuyoshi Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Goto. A scholar is included among the top collaborators of Tsuyoshi Goto 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 Goto. Tsuyoshi Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 19 | |
| 14 | 11 | |
| 15 | 60 | |
| 16 | 11 | |
| 17 | Thirty-Day Outcome of Transcatheter Aortic Valve Implantation With the Edwards SAPIEN XT Prosthesis via the Transiliofemoral Approach:– Japanese Single-Center Experience – | 3 |
| 18 | 16 | |
| 19 | 0 | |
| 20 | CORONARY ANGIOGRAPHIC RISK FACTORS OF MECHANICAL FAILURE IN ACUTE MYOCARDIAL INFARCTION : PROCEEDINGS OF THE 47th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY : Ischemic Heart Disease (III) | 2 |
About Tsuyoshi Goto
Tsuyoshi Goto is a scholar working on Physiology, Epidemiology and Biochemistry, having authored 240 papers that have together received 6.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (97 papers), Peroxisome Proliferator-Activated Receptors (58 papers) and Adipokines, Inflammation, and Metabolic Diseases (57 papers). The work is most often cited by research in Biochemistry (576 citations), Physiology (2.4k citations) and Sensory Systems (253 citations). Tsuyoshi Goto has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Teruo Kawada, Nobuyuki Takahashi, Rina Yu, Shizuka Hirai, Taku Uemura, Tomoya Sakamoto, Min‐Sook Kang, Minji Kim, Haruya Takahashi and Ji‐Hye Kang. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.