Kanako Ono
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
-
- Muscle Physiology and Disorders 13
- Epigenetics and DNA Methylation 7
- RNA Research and Splicing 3
- Aging 25
- Genetics, Aging, and Longevity in Model Organisms 25
- Co-authors
- Shoichiro Ono (27 shared papers)Hiroshi Suga (6 shared papers)Kurato Mohri (4 shared papers)Naoyuki Iwabe (5 shared papers)Mitsumasa Koyanagi (4 shared papers)Kei‐ichi Kuma (4 shared papers)Takashi Miyata (3 shared papers)Sawako Yamashiro (3 shared papers)
- Journals
- Molecular Biology of the Cell (8 papers)Journal of Cell Science (4 papers)FEBS Letters (4 papers)Clinical Epigenetics (2 papers)Journal of Molecular Evolution (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Kanako Ono
68 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Aging 367
- Cell Biology 433
- Cardiology and Cardiovascular Medicine 305
- Molecular Biology 842
- Biophysics 62
Countries citing papers authored by Kanako Ono
This map shows the geographic impact of Kanako Ono'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 Kanako Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanako Ono more than expected).
Fields of papers citing papers by Kanako Ono
This network shows the impact of papers produced by Kanako Ono. 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 Kanako Ono. The network helps show where Kanako Ono may publish in the future.
Co-authors
The 25 scholars most cited alongside Kanako Ono, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 216 | |
| 2 | 2001 | 109 | |
| 3 | 2003 | 91 | |
| 4 | 2004 | 82 | |
| 5 | 1999 | 81 | |
| 6 | 2002 | 62 | |
| 7 | 2001 | 55 | |
| 8 | 2004 | 54 | |
| 9 | 1998 | 48 | |
| 10 | 2010 | 47 | |
| 11 | 2004 | 45 | |
| 12 | 2006 | 44 | |
| 13 | 1999 | 39 | |
| 14 | 1999 | 37 | |
| 15 | 2012 | 36 | |
| 16 | 2012 | 32 | |
| 17 | 2008 | 31 | |
| 18 | 2005 | 31 | |
| 19 | 1997 | 31 | |
| 20 | 2004 | 29 |
About Kanako Ono
Kanako Ono is a scholar working on Molecular Biology, Aging, Cardiology and Cardiovascular Medicine, Cell Biology and Cancer Research, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (25 papers), Muscle Physiology and Disorders (13 papers), Cardiomyopathy and Myosin Studies (11 papers), Cellular Mechanics and Interactions (8 papers), Epigenetics and DNA Methylation (7 papers), Algal biology and biofuel production (5 papers), RNA Research and Splicing (3 papers) and Marine Sponges and Natural Products (3 papers). The work is most often cited by research in Aging (367 citations), Cell Biology (433 citations), Cardiology and Cardiovascular Medicine (305 citations), Molecular Biology (842 citations) and Biophysics (62 citations). Kanako Ono has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shoichiro Ono, Hiroshi Suga, Kurato Mohri, Naoyuki Iwabe, Mitsumasa Koyanagi, Kei‐ichi Kuma, Takashi Miyata, Sawako Yamashiro, Yusuke Wataya and Araki Masuyama. Their work appears in journals such as Molecular Biology of the Cell, Journal of Cell Science, FEBS Letters, Clinical Epigenetics and Journal of Molecular Evolution.
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.