Takashi Iwase
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Genetics top 1%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Noritoshi NagayaKenji KangawaTakefumi ItohTakafumi FujiiMasakazu YamagishiSoichiro KitamuraMasataka SataHidezo Mori
- Topics
- Cardiac Imaging and Diagnostics (9 papers)Lipoproteins and Cardiovascular Health (8 papers)Cardiovascular Disease and Adiposity (7 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takashi Iwase
135 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Surgery 1.1k
- Cardiology and Cardiovascular Medicine 959
- Molecular Biology 925
- Genetics 791
- Pulmonary and Respiratory Medicine 564
Countries citing papers authored by Takashi Iwase
This map shows the geographic impact of Takashi Iwase'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 Takashi Iwase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Iwase more than expected).
Fields of papers citing papers by Takashi Iwase
This network shows the impact of papers produced by Takashi Iwase. 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 Takashi Iwase. The network helps show where Takashi Iwase may publish in the future.
Co-authorship network of co-authors of Takashi Iwase
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Iwase. A scholar is included among the top collaborators of Takashi Iwase 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 Takashi Iwase. Takashi Iwase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 35 | |
| 6 | 22 | |
| 7 | 18 | |
| 8 | 50 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 60 | |
| 13 | 8 | |
| 14 | 60 | |
| 15 | 40 | |
| 16 | PJ-045 Adrenomedullin Enhances Therapeutic Potency of Bone Marrow Transplantation for Acute Myocardial Infarction in Rats(Acute Myocardial Infarction, Basic 2 (IHD) : PJ8)(Poster Session (Japanese)) | 1 |
| 17 | 49 | |
| 18 | 88 | |
| 19 | 11 | |
| 20 | 6 |
About Takashi Iwase
Takashi Iwase is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Endocrinology, Diabetes and Metabolism, having authored 138 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and Cardiovascular Disease and Adiposity (7 papers). The work is most often cited by research in Genetics (791 citations), Cardiology and Cardiovascular Medicine (959 citations) and Surgery (1.1k citations). Takashi Iwase has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Noritoshi Nagaya, Kenji Kangawa, Takefumi Itoh, Takafumi Fujii, Masakazu Yamagishi, Soichiro Kitamura, Masataka Sata, Hidezo Mori, Masaaki Uematsu and Hajime Ohgushi. Their work appears in journals such as Journal of Biological Chemistry, Circulation and The Journal of Immunology.
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.