Tadao Iwasaki
- Surgery top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Immunology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Hiroaki HattoriTakeshi KujiraokaMitsuaki IshiharaN.E. MillerMakoto NaganoJulia M. GeorgeJörg KreuterLinda Hasadsri
- Topics
- Lipoproteins and Cardiovascular Health (12 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Cancer, Lipids, and Metabolism (8 papers)
- Journals
- Journal of Biological ChemistryCirculationBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tadao Iwasaki
31 papers receiving 813 citations
Peers
Comparison fields: 5 of 81
- Surgery 307
- Molecular Biology 298
- Endocrinology, Diabetes and Metabolism 177
- Immunology 136
- Cardiology and Cardiovascular Medicine 131
Countries citing papers authored by Tadao Iwasaki
This map shows the geographic impact of Tadao Iwasaki'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 Tadao Iwasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadao Iwasaki more than expected).
Fields of papers citing papers by Tadao Iwasaki
This network shows the impact of papers produced by Tadao Iwasaki. 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 Tadao Iwasaki. The network helps show where Tadao Iwasaki may publish in the future.
Co-authorship network of co-authors of Tadao Iwasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tadao Iwasaki. A scholar is included among the top collaborators of Tadao Iwasaki 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 Tadao Iwasaki. Tadao Iwasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 10 | |
| 3 | 18 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 12 | |
| 7 | 35 | |
| 8 | 17 | |
| 9 | 21 | |
| 10 | 20 | |
| 11 | 82 | |
| 12 | 13 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 37 | |
| 17 | 50 | |
| 18 | 2 | |
| 19 | 29 | |
| 20 | 53 |
About Tadao Iwasaki
Tadao Iwasaki is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Clinical Biochemistry, having authored 31 papers that have together received 822 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Cancer, Lipids, and Metabolism (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (177 citations), Cancer Research (130 citations) and Surgery (307 citations). Tadao Iwasaki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroaki Hattori, Takeshi Kujiraoka, Mitsuaki Ishihara, N.E. Miller, Makoto Nagano, Julia M. George, Jörg Kreuter, Linda Hasadsri, Masahiro Tsuji and Sadao Takahashi. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Biochemical and Biophysical Research Communications.
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.