Tomio Kawasaki
- Hematology top 1%
- Molecular Biology
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Junichi KambayashiMasato SakonHideo AriyoshiEiichi ShibaYasushi OzekiMorito MondenEtsuji SuehisaYoshiko Yano
- Topics
- Blood Coagulation and Thrombosis Mechanisms (26 papers)Venous Thromboembolism Diagnosis and Management (24 papers)Platelet Disorders and Treatments (16 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tomio Kawasaki
109 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 101
- Hematology 694
- Molecular Biology 624
- Surgery 528
- Cardiology and Cardiovascular Medicine 473
- Pulmonary and Respiratory Medicine 424
Countries citing papers authored by Tomio Kawasaki
This map shows the geographic impact of Tomio Kawasaki'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 Tomio Kawasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomio Kawasaki more than expected).
Fields of papers citing papers by Tomio Kawasaki
This network shows the impact of papers produced by Tomio Kawasaki. 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 Tomio Kawasaki. The network helps show where Tomio Kawasaki may publish in the future.
Co-authorship network of co-authors of Tomio Kawasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tomio Kawasaki. A scholar is included among the top collaborators of Tomio Kawasaki 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 Tomio Kawasaki. Tomio Kawasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | Three-year cardiovascular events and disease progress in patients with peripheral arterial disease: results from the Japan Medication Therapy for Peripheral Arterial Disease (J-METHOD). | 12 |
| 3 | 21 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 51 | |
| 16 | 14 | |
| 17 | 15 | |
| 18 | 68 | |
| 19 | 2 | |
| 20 | 8 |
About Tomio Kawasaki
Tomio Kawasaki is a scholar working on Internal Medicine, Hematology and Cardiology and Cardiovascular Medicine, having authored 115 papers that have together received 2.2k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (26 papers), Venous Thromboembolism Diagnosis and Management (24 papers) and Platelet Disorders and Treatments (16 papers). The work is most often cited by research in Internal Medicine (401 citations), Hematology (694 citations) and Cardiology and Cardiovascular Medicine (473 citations). Tomio Kawasaki has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Junichi Kambayashi, Masato Sakon, Hideo Ariyoshi, Eiichi Shiba, Yasushi Ozeki, Morito Monden, Etsuji Suehisa, Yoshiko Yano, Takesada Mori and Takahiro Mori. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Blood.
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.