Kenichiro Suwa
About
In The Last Decade
Kenichiro Suwa
39 papers receiving 376 citations
Peers
Comparison fields: 5 of 52
- Cardiology and Cardiovascular Medicine 258
- Radiology, Nuclear Medicine and Imaging 134
- Pulmonary and Respiratory Medicine 94
- Surgery 89
- Epidemiology 41
Countries citing papers authored by Kenichiro Suwa
This map shows the geographic impact of Kenichiro Suwa'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 Kenichiro Suwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichiro Suwa more than expected).
Fields of papers citing papers by Kenichiro Suwa
This network shows the impact of papers produced by Kenichiro Suwa. 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 Kenichiro Suwa. The network helps show where Kenichiro Suwa may publish in the future.
Co-authorship network of co-authors of Kenichiro Suwa
This figure shows the co-authorship network connecting the top 25 collaborators of Kenichiro Suwa. A scholar is included among the top collaborators of Kenichiro Suwa 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 Kenichiro Suwa. Kenichiro Suwa 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 55 | |
| 16 | 18 | |
| 17 | 9 | |
| 18 | Abstract 17440: Non-Invasive Classification of Pulmonary Hypertension Using 4D Flow MRI and Random Forests | 1 |
| 19 | 8 | |
| 20 | 22 |
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.