Atsushi Kuno
- Molecular Biology top 5%
- Geriatrics and Gerontology top 0.2%
- Pathology and Forensic Medicine top 1%
- Physiology top 5%
- Epidemiology top 5%
- Co-authors
- Yoshiyuki HorioMasaya TannoTetsuji MiuraRyusuke HosodaToshiyuki YanoTakayuki MikiYusuke S. HoriKazuaki Shimamoto
- Topics
- Cardiac Ischemia and Reperfusion (28 papers)Sirtuins and Resveratrol in Medicine (24 papers)Autophagy in Disease and Therapy (18 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Atsushi Kuno
125 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.8k
- Geriatrics and Gerontology 856
- Pathology and Forensic Medicine 772
- Physiology 747
- Epidemiology 639
Countries citing papers authored by Atsushi Kuno
This map shows the geographic impact of Atsushi Kuno'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 Atsushi Kuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Kuno more than expected).
Fields of papers citing papers by Atsushi Kuno
This network shows the impact of papers produced by Atsushi Kuno. 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 Atsushi Kuno. The network helps show where Atsushi Kuno may publish in the future.
Co-authorship network of co-authors of Atsushi Kuno
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Kuno. A scholar is included among the top collaborators of Atsushi Kuno 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 Atsushi Kuno. Atsushi Kuno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 19 | |
| 11 | 30 | |
| 12 | 134 | |
| 13 | Abstract 2287: The SIRT1 Activator Resveratrol Suppresses Cardiomyocyte Hypertrophy by Promoting Histone H3 Lys9 Deacetylation and Tri-methylation | 1 |
| 14 | Proving Tests for the Forward Obstacle Information Provision Service (ETC-ID System) | 1 |
| 15 | 46 | |
| 16 | 59 | |
| 17 | 18 | |
| 18 | Contribution of gap junction communication to myocardial necrosis during ischemia/reperfusion | 1 |
| 19 | 1 | |
| 20 | 4 |
About Atsushi Kuno
Atsushi Kuno is a scholar working on Geriatrics and Gerontology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 126 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (28 papers), Sirtuins and Resveratrol in Medicine (24 papers) and Autophagy in Disease and Therapy (18 papers). The work is most often cited by research in Geriatrics and Gerontology (856 citations), Physiology (225 citations) and Developmental Neuroscience (178 citations). Atsushi Kuno has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshiyuki Horio, Masaya Tanno, Tetsuji Miura, Ryusuke Hosoda, Toshiyuki Yano, Takayuki Miki, Yusuke S. Hori, Kazuaki Shimamoto, Satoko Ishikawa and Tatsuya Sato. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Gastroenterology.
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.