Satoshi Furukawa
- Surgery top 2%
- Pulmonary and Respiratory Medicine top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Biomedical Engineering top 5%
- Physiology top 5%
- Co-authors
- Akihiko SugiyamaGerard J. CrinerYusuke KurodaMasayoshi AbeJohn M. TravalineKoji UsudaIzumi OgawaFrancis Cordova
- Topics
- Transplantation: Methods and Outcomes (24 papers)Spaceflight effects on biology (22 papers)Mechanical Circulatory Support Devices (18 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Satoshi Furukawa
233 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 162
- Surgery 1.4k
- Pulmonary and Respiratory Medicine 894
- Cardiology and Cardiovascular Medicine 747
- Biomedical Engineering 732
- Physiology 618
Countries citing papers authored by Satoshi Furukawa
This map shows the geographic impact of Satoshi Furukawa'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 Furukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Furukawa more than expected).
Fields of papers citing papers by Satoshi Furukawa
This network shows the impact of papers produced by Satoshi Furukawa. 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 Furukawa. The network helps show where Satoshi Furukawa may publish in the future.
Co-authorship network of co-authors of Satoshi Furukawa
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Furukawa. A scholar is included among the top collaborators of Satoshi Furukawa 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 Furukawa. Satoshi Furukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 27 | |
| 7 | Molecular phylogeny of the rotifers with two Indonesian Brachionus lineages | 14 |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 192 | |
| 14 | 70 | |
| 15 | 27 | |
| 16 | A Hierarchy from alfa-EM Algorithm to Vector Quantization and Self Organization. | 3 |
| 17 | 78 | |
| 18 | 30 | |
| 19 | Ventricular tachycardia in an ovine model of left ventricular aneurysm | 4 |
| 20 | 0 |
About Satoshi Furukawa
Satoshi Furukawa is a scholar working on Transplantation, Obstetrics and Gynecology and Physiology, having authored 240 papers that have together received 4.4k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (24 papers), Spaceflight effects on biology (22 papers) and Mechanical Circulatory Support Devices (18 papers). The work is most often cited by research in Transplantation (227 citations), Obstetrics and Gynecology (318 citations) and Cardiology and Cardiovascular Medicine (747 citations). Satoshi Furukawa has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Akihiko Sugiyama, Gerard J. Criner, Yusuke Kuroda, Masayoshi Abe, John M. Travaline, Koji Usuda, Izumi Ogawa, Francis Cordova, Hideaki Saito and Seigo Hayashi. Their work appears in journals such as Nature Communications, Circulation Research and The Journal of Physiology.
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.