Hiroaki Daitoku
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 0.2%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- FOXO transcription factor regulation 19
- Cancer-related gene regulation 13
- Epigenetics and DNA Methylation 10
- Metabolism, Diabetes, and Cancer 4
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
- Co-authors
- Akiyoshi Fukamizu (45 shared papers)Hitomi Matsuzaki (9 shared papers)Mitsutoki Hatta (9 shared papers)Kazuyuki Yamagata (9 shared papers)Jun-Ichi Sakamaki (5 shared papers)Keiji Tanaka (1 shared paper)Koichiro Kako (12 shared papers)Keiko Hirota (9 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)International Journal of Molecular Medicine (7 papers)The Journal of Biochemistry (4 papers)Proceedings of the National Academy of Sciences (4 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Hiroaki Daitoku
46 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 111
- Aging 573
- Geriatrics and Gerontology 623
- Molecular Biology 2.9k
- Physiology 714
- Cancer Research 286
Countries citing papers authored by Hiroaki Daitoku
This map shows the geographic impact of Hiroaki Daitoku'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 Hiroaki Daitoku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Daitoku more than expected).
Fields of papers citing papers by Hiroaki Daitoku
This network shows the impact of papers produced by Hiroaki Daitoku. 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 Hiroaki Daitoku. The network helps show where Hiroaki Daitoku may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroaki Daitoku, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 491 | |
| 2 | 2003 | 440 | |
| 3 | 2005 | 411 | |
| 4 | 2008 | 370 | |
| 5 | 2008 | 318 | |
| 6 | 2004 | 298 | |
| 7 | 2011 | 230 | |
| 8 | 2003 | 223 | |
| 9 | 2006 | 188 | |
| 10 | 2007 | 151 | |
| 11 | 2006 | 132 | |
| 12 | 2003 | 103 | |
| 13 | 2011 | 101 | |
| 14 | 2007 | 89 | |
| 15 | 2003 | 84 | |
| 16 | 2011 | 73 | |
| 17 | 2008 | 72 | |
| 18 | 2009 | 57 | |
| 19 | 2012 | 31 | |
| 20 | 2006 | 31 |
About Hiroaki Daitoku
Hiroaki Daitoku is a scholar working on Molecular Biology, Aging, Geriatrics and Gerontology, Oncology and Surgery, having authored 47 papers that have together received 4.2k indexed citations. Recurring topics across this work include FOXO transcription factor regulation (19 papers), Cancer-related gene regulation (13 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Epigenetics and DNA Methylation (10 papers), Sirtuins and Resveratrol in Medicine (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Aging (573 citations), Geriatrics and Gerontology (623 citations), Molecular Biology (2.9k citations), Physiology (714 citations) and Cancer Research (286 citations). Hiroaki Daitoku has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Akiyoshi Fukamizu, Hitomi Matsuzaki, Mitsutoki Hatta, Kazuyuki Yamagata, Jun-Ichi Sakamaki, Keiji Tanaka, Koichiro Kako, Keiko Hirota, Toshihiro Nakajima and Satoko Aratani. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Medicine, The Journal of Biochemistry, Proceedings of the National Academy of Sciences and Biochemical and Biophysical Research Communications.
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.