Akira Ishihata
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Co-authors
- Yumi KatanoMasao EndohMakoto EndohJun InuiTetsuya HiramotoMasahiro TakanashiTatsuhiko ItoKenkichi Sugiyama
- Topics
- Receptor Mechanisms and Signaling (10 papers)Nitric Oxide and Endothelin Effects (7 papers)Renin-Angiotensin System Studies (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineGeriatrics and GerontologyEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaCirculation ResearchJournal of Agricultural and Food Chemistry
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Akira Ishihata
27 papers receiving 718 citations
Peers
Comparison fields: 5 of 94
- Cardiology and Cardiovascular Medicine 374
- Molecular Biology 321
- Physiology 161
- Endocrinology, Diabetes and Metabolism 127
- Surgery 126
Countries citing papers authored by Akira Ishihata
This map shows the geographic impact of Akira Ishihata'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 Akira Ishihata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Ishihata more than expected).
Fields of papers citing papers by Akira Ishihata
This network shows the impact of papers produced by Akira Ishihata. 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 Akira Ishihata. The network helps show where Akira Ishihata may publish in the future.
Co-authorship network of co-authors of Akira Ishihata
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Ishihata. A scholar is included among the top collaborators of Akira Ishihata 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 Akira Ishihata. Akira Ishihata 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 | 36 | |
| 3 | 78 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 19 | |
| 9 | 38 | |
| 10 | 65 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 62 | |
| 15 | 52 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 27 | |
| 20 | 38 |
About Akira Ishihata
Akira Ishihata is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Biophysics, having authored 27 papers that have together received 745 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Nitric Oxide and Endothelin Effects (7 papers) and Renin-Angiotensin System Studies (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (374 citations), Geriatrics and Gerontology (41 citations) and Endocrinology, Diabetes and Metabolism (127 citations). Akira Ishihata has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Yumi Katano, Masao Endoh, Makoto Endoh, Jun Inui, Tetsuya Hiramoto, Masahiro Takanashi, Tatsuhiko Ito, Kenkichi Sugiyama, Deng‐Fu Guo and Tadashi Inagami. Their work appears in journals such as SHILAP Revista de lepidopterología, Circulation Research and Journal of Agricultural and Food Chemistry.
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.