Masataka Ikeda
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 5%
- Oncology
- Co-authors
- Tomomi IdeHiroyuki TsutsuiShouji MatsushimaTomonori TadokoroKen‐ichi YamadaAkihito IshikitaKosuke OkabeSoichiro Ikeda
- Topics
- Mitochondrial Function and Pathology (9 papers)Cardiovascular Function and Risk Factors (8 papers)Cardiac Fibrosis and Remodeling (8 papers)
- Partner nations
- JapanUnited StatesFinland
In The Last Decade
Masataka Ikeda
53 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 883
- Pulmonary and Respiratory Medicine 544
- Cardiology and Cardiovascular Medicine 527
- Cancer Research 371
- Oncology 178
Countries citing papers authored by Masataka Ikeda
This map shows the geographic impact of Masataka Ikeda'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 Masataka Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masataka Ikeda more than expected).
Fields of papers citing papers by Masataka Ikeda
This network shows the impact of papers produced by Masataka Ikeda. 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 Masataka Ikeda. The network helps show where Masataka Ikeda may publish in the future.
Co-authorship network of co-authors of Masataka Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Masataka Ikeda. A scholar is included among the top collaborators of Masataka Ikeda 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 Masataka Ikeda. Masataka Ikeda 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 61 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 88 | |
| 11 | 103 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 18 | |
| 15 | Mitochondria-dependent ferroptosis plays a pivotal role in doxorubicin cardiotoxicitybreakdown → | 487 |
| 16 | 43 | |
| 17 | 4 | |
| 18 | Isolated Pure Systolic Stress Upregulates Hypertrophy-related Genes, Whereas Isolated Diastolic Strain Upregulates Fibrosis-related Genes | 3 |
| 19 | 1 | |
| 20 | 8 |
About Masataka Ikeda
Masataka Ikeda is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Cancer Research, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiac Fibrosis and Remodeling (8 papers). The work is most often cited by research in Cancer Research (371 citations), Cardiology and Cardiovascular Medicine (527 citations) and Pulmonary and Respiratory Medicine (544 citations). Masataka Ikeda has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Tomomi Ide, Hiroyuki Tsutsui, Shouji Matsushima, Tomonori Tadokoro, Ken‐ichi Yamada, Akihito Ishikita, Kosuke Okabe, Soichiro Ikeda, Tomoko Koumura and Hirotaka Imai. Their work appears in journals such as Circulation, Journal of Clinical Oncology 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.