Hiroaki Iwasaki
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Co-authors
- Fumiaki MarumoSatoru EguchiYukio HirataEvangeline D. MotleyTadashi InagamiKotaro NumaguchiTadashi YamakawaKoji Owada
- Topics
- Receptor Mechanisms and Signaling (8 papers)Nitric Oxide and Endothelin Effects (7 papers)Neuropeptides and Animal Physiology (7 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaApplied Physics Letters
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroaki Iwasaki
46 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 493
- Cardiology and Cardiovascular Medicine 328
- Endocrinology, Diabetes and Metabolism 244
- Physiology 226
Countries citing papers authored by Hiroaki Iwasaki
This map shows the geographic impact of Hiroaki 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 Hiroaki Iwasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Iwasaki more than expected).
Fields of papers citing papers by Hiroaki Iwasaki
This network shows the impact of papers produced by Hiroaki 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 Hiroaki Iwasaki. The network helps show where Hiroaki Iwasaki may publish in the future.
Co-authorship network of co-authors of Hiroaki Iwasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Iwasaki. A scholar is included among the top collaborators of Hiroaki 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 Hiroaki Iwasaki. Hiroaki 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 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 32 | |
| 6 | 14 | |
| 7 | 34 | |
| 8 | 0 | |
| 9 | 19 | |
| 10 | 43 | |
| 11 | 14 | |
| 12 | 150 | |
| 13 | 38 | |
| 14 | 23 | |
| 15 | 484 | |
| 16 | 85 | |
| 17 | 1 | |
| 18 | 28 | |
| 19 | 8 | |
| 20 | 3 |
About Hiroaki Iwasaki
Hiroaki Iwasaki is a scholar working on Cellular and Molecular Neuroscience, Dermatology and Transplantation, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Nitric Oxide and Endothelin Effects (7 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (493 citations), Molecular Biology (1.2k citations) and Immunology and Allergy (104 citations). Hiroaki Iwasaki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Fumiaki Marumo, Satoru Eguchi, Yukio Hirata, Evangeline D. Motley, Tadashi Inagami, Kotaro Numaguchi, Tadashi Yamakawa, Koji Owada, Hikaru Ueno and Masayoshi Shichiri. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.