Hirokazu Mitsuoka
- Immunology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Nephrology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Noriaki KumeToru KitaKazutaka HayashidaMasaru TanakaTina E. BrinkleyYoshihisa NakagawaRyoji TaniguchiDana A. Phares
- Topics
- Atherosclerosis and Cardiovascular Diseases (10 papers)Biomarkers in Disease Mechanisms (2 papers)Cardiac Imaging and Diagnostics (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Heart JournalBMJ
- Partner nations
- JapanUnited States
In The Last Decade
Hirokazu Mitsuoka
22 papers receiving 707 citations
Peers
Comparison fields: 5 of 76
- Immunology 316
- Cardiology and Cardiovascular Medicine 233
- Surgery 174
- Nephrology 74
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Hirokazu Mitsuoka
This map shows the geographic impact of Hirokazu Mitsuoka'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 Hirokazu Mitsuoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirokazu Mitsuoka more than expected).
Fields of papers citing papers by Hirokazu Mitsuoka
This network shows the impact of papers produced by Hirokazu Mitsuoka. 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 Hirokazu Mitsuoka. The network helps show where Hirokazu Mitsuoka may publish in the future.
Co-authorship network of co-authors of Hirokazu Mitsuoka
This figure shows the co-authorship network connecting the top 25 collaborators of Hirokazu Mitsuoka. A scholar is included among the top collaborators of Hirokazu Mitsuoka 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 Hirokazu Mitsuoka. Hirokazu Mitsuoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 72 | |
| 3 | 150 | |
| 4 | 33 | |
| 5 | 48 | |
| 6 | 52 | |
| 7 | 59 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 13 | |
| 14 | 52 | |
| 15 | 33 | |
| 16 | 25 | |
| 17 | 50 | |
| 18 | 1 | |
| 19 | OJ-272 Quantitative Analysis of Regional Ventricular Motion by Real-Time 3D Echocardiography : Comparative Study to Semi-Quantifications by Conventional 2D-Echo Measurements and LVG(Echo/Doppler 10 (I) : OJ32)(Oral Presentation (Japanese)) | 0 |
| 20 | 15 |
About Hirokazu Mitsuoka
Hirokazu Mitsuoka is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Biotechnology, having authored 23 papers that have together received 721 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (10 papers), Biomarkers in Disease Mechanisms (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Immunology (316 citations), Nephrology (74 citations) and Cardiology and Cardiovascular Medicine (233 citations). Hirokazu Mitsuoka has collaborated with scholars based in Japan and United States. Frequent co-authors include Noriaki Kume, Toru Kita, Kazutaka Hayashida, Masaru Tanaka, Tina E. Brinkley, Yoshihisa Nakagawa, Ryoji Taniguchi, Dana A. Phares, James M. Hagberg and Yutaka Furukawa. Their work appears in journals such as SHILAP Revista de lepidopterología, European Heart Journal and BMJ.
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.