Tsuyoshi Hirota
Impact in
- Endocrine and Autonomic Systems top 0.1%
- Circadian rhythm and melatonin
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Circadian rhythm and melatonin 51
- Aging 11
- Genetics, Aging, and Longevity in Model Organisms 11
- Co-authors
- Steve A. KayYoshitaka FukadaAndrew C. LiuJae Wook LeePeter G. SchultzEric Erquan ZhangNobuhiro KurabayashiDavid A. Brenner
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (4 papers)Journal of the American Chemical Society (3 papers)Scientific Reports (2 papers)Cell (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Tsuyoshi Hirota
62 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Endocrine and Autonomic Systems 2.9k
- Aging 633
- Cellular and Molecular Neuroscience 856
- Physiology 1.2k
- Plant Science 1.2k
Countries citing papers authored by Tsuyoshi Hirota
This map shows the geographic impact of Tsuyoshi 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 Tsuyoshi Hirota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Hirota more than expected).
Fields of papers citing papers by Tsuyoshi Hirota
This network shows the impact of papers produced by Tsuyoshi 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 Tsuyoshi Hirota. The network helps show where Tsuyoshi Hirota may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsuyoshi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2023 | 7 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 40 | |
| 7 | 2020 | 61 | |
| 8 | 2020 | 43 | |
| 9 | 2020 | 27 | |
| 10 | 2019 | 65 | |
| 11 | 2018 | 67 | |
| 12 | 2017 | 148 | |
| 13 | 2017 | 7 | |
| 14 | 2015 | 42 | |
| 15 | 2014 | 24 | |
| 16 | 2013 | 40 | |
| 17 | Identification of Small Molecule Activators of Cryptochrome Hit paper breakdown → | 2012 | 386 |
| 18 | 2011 | 34 | |
| 19 | 2008 | 110 | |
| 20 | 2001 | 76 |
About Tsuyoshi Hirota
Tsuyoshi Hirota is a scholar working on Endocrine and Autonomic Systems, Aging, Cellular and Molecular Neuroscience, Plant Science and Physiology, having authored 63 papers that have together received 4.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (51 papers), Light effects on plants (29 papers), Photoreceptor and optogenetics research (19 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), Spaceflight effects on biology (10 papers), Neurobiology and Insect Physiology Research (10 papers), Plant Molecular Biology Research (7 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.9k citations), Aging (633 citations), Cellular and Molecular Neuroscience (856 citations), Physiology (1.2k citations) and Plant Science (1.2k citations). Tsuyoshi Hirota has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Steve A. Kay, Yoshitaka Fukada, Andrew C. Liu, Jae Wook Lee, Peter G. Schultz, Eric Erquan Zhang, Nobuhiro Kurabayashi, David A. Brenner, Toshiyuki Okano and Mihoko Sakai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of the American Chemical Society, Scientific Reports and Cell.
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.