Hiroshi Akasaka
- Molecular Biology top 10%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Pathology and Forensic Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Hirofumi OhnishiShigeyuki SaitohKazuaki ShimamotoTetsuji MiuraHiromi RakugiKen SugimotoKatsuji UekiAtsuko Ueki
- Topics
- Nutrition and Health in Aging (27 papers)Frailty in Older Adults (17 papers)Blood Pressure and Hypertension Studies (15 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hiroshi Akasaka
157 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 160
- Molecular Biology 856
- Physiology 546
- Cardiology and Cardiovascular Medicine 480
- Pathology and Forensic Medicine 472
- Endocrinology, Diabetes and Metabolism 417
Countries citing papers authored by Hiroshi Akasaka
This map shows the geographic impact of Hiroshi Akasaka'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 Hiroshi Akasaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Akasaka more than expected).
Fields of papers citing papers by Hiroshi Akasaka
This network shows the impact of papers produced by Hiroshi Akasaka. 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 Hiroshi Akasaka. The network helps show where Hiroshi Akasaka may publish in the future.
Co-authorship network of co-authors of Hiroshi Akasaka
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Akasaka. A scholar is included among the top collaborators of Hiroshi Akasaka 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 Hiroshi Akasaka. Hiroshi Akasaka 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 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 18 | |
| 14 | 98 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | Expanded AMeDAS Weather Data | 25 |
| 18 | 9 | |
| 19 | 6 | |
| 20 | A Method to Estimate the Hourly Downward Atmospheric Radiation using AMeDAS Data. | 4 |
About Hiroshi Akasaka
Hiroshi Akasaka is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Physiology, having authored 164 papers that have together received 3.1k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (27 papers), Frailty in Older Adults (17 papers) and Blood Pressure and Hypertension Studies (15 papers). The work is most often cited by research in Genetics (284 citations), Geriatrics and Gerontology (104 citations) and Pathology and Forensic Medicine (472 citations). Hiroshi Akasaka has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hirofumi Ohnishi, Shigeyuki Saitoh, Kazuaki Shimamoto, Tetsuji Miura, Hiromi Rakugi, Ken Sugimoto, Katsuji Ueki, Atsuko Ueki, Marenao Tanaka and Takashi Akasaka. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.