Masamitsu Iwasa
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism
- Surgery
- Pathology and Forensic Medicine
- Co-authors
- Kazuhiko NishigakiShinya MinatoguchiYoshihisa YamadaGenzou TakemuraItta KawamuraHisayoshi FujiwaraShinji YasudaTakako Fujiwara
- Topics
- Cardiac Ischemia and Reperfusion (8 papers)Cardiovascular Function and Risk Factors (6 papers)Renin-Angiotensin System Studies (4 papers)
- Cited by
- Endocrine and Autonomic SystemsCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanUnited States
In The Last Decade
Masamitsu Iwasa
21 papers receiving 440 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 166
- Cardiology and Cardiovascular Medicine 153
- Endocrinology, Diabetes and Metabolism 92
- Surgery 80
- Pathology and Forensic Medicine 76
Countries citing papers authored by Masamitsu Iwasa
This map shows the geographic impact of Masamitsu Iwasa'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 Masamitsu Iwasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masamitsu Iwasa more than expected).
Fields of papers citing papers by Masamitsu Iwasa
This network shows the impact of papers produced by Masamitsu Iwasa. 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 Masamitsu Iwasa. The network helps show where Masamitsu Iwasa may publish in the future.
Co-authorship network of co-authors of Masamitsu Iwasa
This figure shows the co-authorship network connecting the top 25 collaborators of Masamitsu Iwasa. A scholar is included among the top collaborators of Masamitsu Iwasa 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 Masamitsu Iwasa. Masamitsu Iwasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 17 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | [Relationship between Coronary Plaque Stability Evaluated by Intravascular Ultrasound and Laboratory Parameters]. | 1 |
| 9 | 68 | |
| 10 | 39 | |
| 11 | 19 | |
| 12 | 22 | |
| 13 | 17 | |
| 14 | 18 | |
| 15 | 16 | |
| 16 | 55 | |
| 17 | 13 | |
| 18 | 49 | |
| 19 | 14 | |
| 20 | 15 |
About Masamitsu Iwasa
Masamitsu Iwasa is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 21 papers that have together received 443 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (8 papers), Cardiovascular Function and Risk Factors (6 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (51 citations), Cardiology and Cardiovascular Medicine (153 citations) and Endocrinology, Diabetes and Metabolism (92 citations). Masamitsu Iwasa has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuhiko Nishigaki, Shinya Minatoguchi, Yoshihisa Yamada, Genzou Takemura, Itta Kawamura, Hisayoshi Fujiwara, Shinji Yasuda, Takako Fujiwara, Hiroaki Ushikoshi and Masanori Kawasaki. Their work appears in journals such as PLoS ONE, British Journal of Pharmacology and Cardiovascular Research.
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.