Satoshi Yamanaka
- Molecular Biology top 10%
- Insect Science top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Plant Science top 10%
- Oncology
- Co-authors
- Tatsuya SawasakiKenneth R. BohelerFutoshi NakamuraMasao NakagawaJun ShiraishiTetsuya TatsumiSatoaki MatobaNatsuya Keira
- Topics
- Atrial Fibrillation Management and Outcomes (17 papers)Entomopathogenic Microorganisms in Pest Control (15 papers)Cardiac Arrhythmias and Treatments (15 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Satoshi Yamanaka
101 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.0k
- Insect Science 413
- Cardiology and Cardiovascular Medicine 408
- Plant Science 349
- Oncology 167
Countries citing papers authored by Satoshi Yamanaka
This map shows the geographic impact of Satoshi Yamanaka'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 Yamanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Yamanaka more than expected).
Fields of papers citing papers by Satoshi Yamanaka
This network shows the impact of papers produced by Satoshi Yamanaka. 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 Yamanaka. The network helps show where Satoshi Yamanaka may publish in the future.
Co-authorship network of co-authors of Satoshi Yamanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Yamanaka. A scholar is included among the top collaborators of Satoshi Yamanaka 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 Yamanaka. Satoshi Yamanaka 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 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 59 | |
| 7 | 19 | |
| 8 | 18 | |
| 9 | 8 | |
| 10 | 27 | |
| 11 | 45 | |
| 12 | 1 | |
| 13 | Abstract 10999: Outcomes Associated With Under-Dosing of Rivaroxaban for Management of Non-Valvular Atrial Fibrillation in Real World Clinical Setting From the XAPASS (Xarelto Post-Authorization Safety and Effectiveness Study in Japanese Patients With Atrial Fibrillation) | 1 |
| 14 | Rivaroxaban vs. Warfarin in Japanese Patients With Non-Valvular Atrial Fibrillation in Relation to Age:– Insight From J-ROCKET AF – | 3 |
| 15 | 0 | |
| 16 | 24 | |
| 17 | 45 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 7 |
About Satoshi Yamanaka
Satoshi Yamanaka is a scholar working on Insect Science, Internal Medicine and Ecological Modeling, having authored 109 papers that have together received 2.0k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (17 papers), Entomopathogenic Microorganisms in Pest Control (15 papers) and Cardiac Arrhythmias and Treatments (15 papers). The work is most often cited by research in Internal Medicine (134 citations), Insect Science (413 citations) and Cardiology and Cardiovascular Medicine (408 citations). Satoshi Yamanaka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tatsuya Sawasaki, Kenneth R. Boheler, Futoshi Nakamura, Masao Nakagawa, Jun Shiraishi, Tetsuya Tatsumi, Satoaki Matoba, Natsuya Keira, Jun Asayama and Norio Shibata. Their work appears in journals such as Circulation, Nature Communications and The EMBO Journal.
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.