Ken‐ichi Kawabata
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 10%
- Co-authors
- Takamitsu NakamuraDaisuke FujiokaYukio SaitōKiyotaka KugiyamaYoshinobu KittaTsuyoshi KobayashiYasushi KodamaJyun‐ei Obata
- Topics
- Ultrasound and Hyperthermia Applications (27 papers)Photoacoustic and Ultrasonic Imaging (23 papers)Cardiovascular Health and Disease Prevention (20 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Ken‐ichi Kawabata
112 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 125
- Cardiology and Cardiovascular Medicine 1.2k
- Surgery 594
- Molecular Biology 526
- Pulmonary and Respiratory Medicine 487
- Biomedical Engineering 448
Countries citing papers authored by Ken‐ichi Kawabata
This map shows the geographic impact of Ken‐ichi Kawabata'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 Ken‐ichi Kawabata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐ichi Kawabata more than expected).
Fields of papers citing papers by Ken‐ichi Kawabata
This network shows the impact of papers produced by Ken‐ichi Kawabata. 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 Ken‐ichi Kawabata. The network helps show where Ken‐ichi Kawabata may publish in the future.
Co-authorship network of co-authors of Ken‐ichi Kawabata
This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Kawabata. A scholar is included among the top collaborators of Ken‐ichi Kawabata 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 Ken‐ichi Kawabata. Ken‐ichi Kawabata 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 | 9 | |
| 4 | 13 | |
| 5 | 33 | |
| 6 | 31 | |
| 7 | 18 | |
| 8 | 28 | |
| 9 | 34 | |
| 10 | 65 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 49 | |
| 15 | 40 | |
| 16 | 65 | |
| 17 | 72 | |
| 18 | SP-D as a useful marker to detect amiodarone induced pulmonary toxity | 1 |
| 19 | 10 | |
| 20 | 11 |
About Ken‐ichi Kawabata
Ken‐ichi Kawabata is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 113 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (27 papers), Photoacoustic and Ultrasonic Imaging (23 papers) and Cardiovascular Health and Disease Prevention (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (371 citations) and Pulmonary and Respiratory Medicine (487 citations). Ken‐ichi Kawabata has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Takamitsu Nakamura, Daisuke Fujioka, Yukio Saitō, Kiyotaka Kugiyama, Yoshinobu Kitta, Tsuyoshi Kobayashi, Yasushi Kodama, Jyun‐ei Obata, Jun–ei Obata and Hajime Takano. Their work appears in journals such as Circulation, The Journal of Immunology and Journal of the American College of Cardiology.
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.