Ryuta Mikawa
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
- Alzheimer's disease research and treatments
Papers in
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- Epigenetics and DNA Methylation 2
-
- Telomeres, Telomerase, and Senescence 5
- Alzheimer's disease research and treatments 2
- Co-authors
- Masataka Sugimoto (6 shared papers)Tadashi Sato (4 shared papers)Azusa Asai (4 shared papers)Kazushi Sugimoto (2 shared papers)Kazuki Kanayama (2 shared papers)Yuji Iwashita (1 shared paper)Hiroyuki Kawagishi (1 shared paper)Mitsuo Maruyama (2 shared papers)
- Journals
- iScience (2 papers)Stem Cell Reports (2 papers)EXPERIMENTAL ANIMALS (1 paper)Aging Cell (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- Japan
In The Last Decade
Ryuta Mikawa
17 papers receiving 452 citations
Peers
Comparison fields: 5 of 66
- Aging 32
- Physiology 199
- Biological Psychiatry 8
- Pulmonary and Respiratory Medicine 100
- Immunology 66
Countries citing papers authored by Ryuta Mikawa
This map shows the geographic impact of Ryuta Mikawa'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 Ryuta Mikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuta Mikawa more than expected).
Fields of papers citing papers by Ryuta Mikawa
This network shows the impact of papers produced by Ryuta Mikawa. 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 Ryuta Mikawa. The network helps show where Ryuta Mikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryuta Mikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 132 | |
| 2 | 2013 | 122 | |
| 3 | 2021 | 55 | |
| 4 | 1979 | 46 | |
| 5 | 2018 | 37 | |
| 6 | 2021 | 31 | |
| 7 | 2020 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2015 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2012 | 1 | |
| 17 | 2019 | 1 |
About Ryuta Mikawa
Ryuta Mikawa is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Immunology and Infectious Diseases, having authored 17 papers that have together received 469 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Medical Imaging and Pathology Studies (3 papers), Alzheimer's disease research and treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Aging (32 citations), Physiology (199 citations), Biological Psychiatry (8 citations), Pulmonary and Respiratory Medicine (100 citations) and Immunology (66 citations). Ryuta Mikawa has collaborated with scholars based in Japan. Frequent co-authors include Masataka Sugimoto, Tadashi Sato, Azusa Asai, Kazushi Sugimoto, Kazuki Kanayama, Yuji Iwashita, Hiroyuki Kawagishi, Mitsuo Maruyama, Y Fujii-Kuriyama and Yutaka Tashiro. Their work appears in journals such as iScience, Stem Cell Reports, EXPERIMENTAL ANIMALS, Aging Cell and Frontiers in Cell and Developmental Biology.
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.