Ken‐ichi Kawabata

3.3k citations
113 papers · 2.6k indexed · h-index 30

Ken‐ichi Kawabata

112 papers receiving 2.6k citations

Peers

Ken‐ichi Kawabata
Comparison fields: 5 of 125
  • Cardiology and Cardiovascular Medicine 1.2k
  • Radiology, Nuclear Medicine and Imaging 371
  • Pulmonary and Respiratory Medicine 487
  • Endocrinology, Diabetes and Metabolism 247
  • Surgery 594
Replace Haim Hammerman with:
Haim Hammerman Israel
Florian Blaschke Germany
Richard D. Patten United States
Martin Rodriguez‐Porcel United States
Keijo Peuhkurinen Finland
Nicholas L. Cruden United Kingdom
Calvin Eng United States
Weon Kim South Korea
Giuseppe Vergaro Italy
Ken–ichi Hirata Japan
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Citations per year

Countries citing papers authored by Ken‐ichi Kawabata

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Ken‐ichi Kawabata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken‐ichi Kawabata Line = papers co-authored together Ken‐ichi Kawabata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20207
3 20179
4 201513
5 201433
6 201331
7 201318
8 201228
9 201234
10 201165
11 201013
12 20108
13 20081
14 200749
15 200740
16 200565
17 200572
18
SP-D as a useful marker to detect amiodarone induced pulmonary toxity
20021
19 199910
20 199811

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), Cardiovascular Health and Disease Prevention (20 papers), Ultrasound and Cavitation Phenomena (15 papers), Ultrasound Imaging and Elastography (14 papers), Cerebrovascular and Carotid Artery Diseases (13 papers), Cardiac Imaging and Diagnostics (12 papers) and Cardiac electrophysiology and arrhythmias (11 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.

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