M Iizuka
- Immunology
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Surgery
- Co-authors
- T SudoHiroaki KodamaYoshihiro OgawaM. ItoKazumi SakaiShinichi HayashiTakahiro KunisadaMinetaro Ogawa
- Topics
- Cardiovascular Function and Risk Factors (4 papers)Cardiomyopathy and Myosin Studies (3 papers)Medical Imaging Techniques and Applications (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
M Iizuka
19 papers receiving 558 citations
Peers
Comparison fields: 5 of 66
- Immunology 166
- Cardiology and Cardiovascular Medicine 149
- Radiology, Nuclear Medicine and Imaging 138
- Molecular Biology 130
- Surgery 68
Countries citing papers authored by M Iizuka
This map shows the geographic impact of M Iizuka'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 M Iizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Iizuka more than expected).
Fields of papers citing papers by M Iizuka
This network shows the impact of papers produced by M Iizuka. 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 M Iizuka. The network helps show where M Iizuka may publish in the future.
Co-authorship network of co-authors of M Iizuka
This figure shows the co-authorship network connecting the top 25 collaborators of M Iizuka. A scholar is included among the top collaborators of M Iizuka 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 M Iizuka. M Iizuka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Comparison of whole-body MR imaging and bone scintigraphy in the detection of bone metastases from breast cancer]. | 15 |
| 2 | [Long-term effects of a selective alpha 1-adrenergic inhibitor on right and left ventricular masses in patients with chronic pulmonary disease]. | 1 |
| 3 | 54 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 19 | |
| 7 | Suppression of the natriuretic effects of exogenous atrial natriuretic peptide in animals with total artificial hearts. | 2 |
| 8 | Noninvasive method to obtain input function for measuring tissue glucose utilization of thoracic and abdominal organs. | 114 |
| 9 | 7 | |
| 10 | 190 | |
| 11 | 30 | |
| 12 | 13 | |
| 13 | 18 | |
| 14 | 19 | |
| 15 | 15 | |
| 16 | 5 | |
| 17 | 54 | |
| 18 | 4 | |
| 19 | 11 |
About M Iizuka
M Iizuka is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Virology, having authored 19 papers that have together received 584 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Immunology (166 citations), Cardiology and Cardiovascular Medicine (149 citations) and Radiology, Nuclear Medicine and Imaging (138 citations). M Iizuka has collaborated with scholars based in Japan and United States. Frequent co-authors include T Sudo, Hiroaki Kodama, Yoshihiro Ogawa, M. Ito, Kazumi Sakai, Shinichi Hayashi, Takahiro Kunisada, Minetaro Ogawa, Takeshi Serizawa and S Nishikawa. Their work appears in journals such as Circulation, The Journal of Experimental Medicine 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.