Satoshi Yasuda
- Molecular Biology top 2%
- Cell Biology top 1%
- Physiology top 5%
- Surgery top 10%
- Biochemistry top 1%
- Co-authors
- Kentaro HanadaMasahiro NishijimaKeigo KumagaiMasayoshi FukasawaYukiko MiuraMiyuki Kawano‐KawadaYoji SatoHideo Kanoh
- Topics
- Pluripotent Stem Cells Research (27 papers)CRISPR and Genetic Engineering (22 papers)Sphingolipid Metabolism and Signaling (14 papers)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Satoshi Yasuda
85 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 3.0k
- Cell Biology 976
- Physiology 607
- Surgery 505
- Biochemistry 346
Countries citing papers authored by Satoshi Yasuda
This map shows the geographic impact of Satoshi Yasuda'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 Satoshi Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Yasuda more than expected).
Fields of papers citing papers by Satoshi Yasuda
This network shows the impact of papers produced by Satoshi Yasuda. 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 Satoshi Yasuda. The network helps show where Satoshi Yasuda may publish in the future.
Co-authorship network of co-authors of Satoshi Yasuda
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Yasuda. A scholar is included among the top collaborators of Satoshi Yasuda 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 Satoshi Yasuda. Satoshi Yasuda 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 11 | |
| 10 | Clinical Characteristics and Prognosis of Patients with Non-Type 1 Brugada-Pattern Electrocardiogram and a History of Ventricular Fibrillation | 3 |
| 11 | 11 | |
| 12 | 39 | |
| 13 | 33 | |
| 14 | 18 | |
| 15 | Abstract 13432: Clinical Significance of Early Gadolinium Enhancement for Detecting Myocardial Damage in Patients With Takotsubo Cardiomyopathy | 1 |
| 16 | 110 | |
| 17 | 16 | |
| 18 | PE-458 Small Vessel and Diffuse Coronary Narrowing Developed in Patients with Impaired Glucose Tolerance : New Parameters for Assessment of Coronary Trees(Diabetes/Obesity 4 (H) : PE78)(Poster Session (English)) | 0 |
| 19 | 67 | |
| 20 | 51 |
About Satoshi Yasuda
Satoshi Yasuda is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 93 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (22 papers) and Sphingolipid Metabolism and Signaling (14 papers). The work is most often cited by research in Cell Biology (976 citations), Biochemistry (346 citations) and Molecular Biology (3.0k citations). Satoshi Yasuda has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Kentaro Hanada, Masahiro Nishijima, Keigo Kumagai, Masayoshi Fukasawa, Yukiko Miura, Miyuki Kawano‐Kawada, Yoji Sato, Hideo Kanoh, Fumio Sakane and Masahiro Kai. Their work appears in journals such as Nature, 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.