Keiko Hirota
Impact in
- Aging top 5%
-
- Hormonal Regulation and Hypertension
Papers in
-
- Cancer-related gene regulation 5
- Epigenetics and DNA Methylation 5
- FOXO transcription factor regulation 4
- Surgery 7
- Pancreatic function and diabetes 5
- Co-authors
- Akiyoshi Fukamizu (26 shared papers)Yoko Shimamoto (7 shared papers)Hiroaki Daitoku (9 shared papers)Kazuyuki Yamagata (5 shared papers)Junji Ishida (4 shared papers)Hitomi Matsuzaki (2 shared papers)Takeshi Sugaya (4 shared papers)Kazuyuki Yanai (3 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)The Journal of Biochemistry (5 papers)International Journal of Molecular Medicine (3 papers)BioMetals (1 paper)Cell Metabolism (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Keiko Hirota
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Aging 76
- Endocrinology, Diabetes and Metabolism 194
- Oncology 287
- Molecular Biology 667
- Cardiology and Cardiovascular Medicine 156
Countries citing papers authored by Keiko Hirota
This map shows the geographic impact of Keiko Hirota'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 Keiko Hirota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Hirota more than expected).
Fields of papers citing papers by Keiko Hirota
This network shows the impact of papers produced by Keiko Hirota. 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 Keiko Hirota. The network helps show where Keiko Hirota may publish in the future.
Co-authors
The 25 scholars most cited alongside Keiko Hirota, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 295 | |
| 2 | 2000 | 127 | |
| 3 | 2008 | 105 | |
| 4 | 2003 | 83 | |
| 5 | 2003 | 76 | |
| 6 | 2011 | 71 | |
| 7 | 2005 | 67 | |
| 8 | 1997 | 45 | |
| 9 | 2021 | 39 | |
| 10 | 1984 | 34 | |
| 11 | 2015 | 31 | |
| 12 | 2004 | 29 | |
| 13 | 2017 | 29 | |
| 14 | 1999 | 28 | |
| 15 | 2019 | 21 | |
| 16 | 2007 | 18 | |
| 17 | 2010 | 17 | |
| 18 | 2018 | 15 | |
| 19 | 2005 | 13 | |
| 20 | 2015 | 12 |
About Keiko Hirota
Keiko Hirota is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Aging and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Cancer-related gene regulation (5 papers), Pancreatic function and diabetes (5 papers), Epigenetics and DNA Methylation (5 papers), FOXO transcription factor regulation (4 papers), Vehicle emissions and performance (3 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Aging (76 citations), Endocrinology, Diabetes and Metabolism (194 citations), Oncology (287 citations), Molecular Biology (667 citations) and Cardiology and Cardiovascular Medicine (156 citations). Keiko Hirota has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Akiyoshi Fukamizu, Yoko Shimamoto, Hiroaki Daitoku, Kazuyuki Yamagata, Junji Ishida, Hitomi Matsuzaki, Takeshi Sugaya, Kazuyuki Yanai, Natsumi Araya and Kazuo Murakami. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Biochemistry, International Journal of Molecular Medicine, BioMetals and Cell Metabolism.
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.