Jun Hirayama
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.1%
- Circadian rhythm and melatonin
Papers in
- Aging 12
- Genetics, Aging, and Longevity in Model Organisms 12
-
- Circadian rhythm and melatonin 35
- Co-authors
- Paolo Sassone‐CorsiMasao DoiBenedetto GrimaldiYasukazu NakahataSaurabh SaharMilota KaluzováDanica ChenLeonard Guarente
- Journals
- Scientific Reports (5 papers)Biological and Pharmaceutical Bulletin (5 papers)Journal of Biological Chemistry (3 papers)ACS Catalysis (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Jun Hirayama
86 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 960
- Endocrine and Autonomic Systems 3.2k
- Geriatrics and Gerontology 327
- Physiology 1.7k
- Catalysis 363
Countries citing papers authored by Jun Hirayama
This map shows the geographic impact of Jun Hirayama'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 Jun Hirayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hirayama more than expected).
Fields of papers citing papers by Jun Hirayama
This network shows the impact of papers produced by Jun Hirayama. 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 Jun Hirayama. The network helps show where Jun Hirayama may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hirayama, 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 | 2024 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 15 | |
| 11 | 2020 | 262 | |
| 12 | The Effects of Dopants on the Cu–ZrO₂ Catalyzed Hydrogenation of Levulinic Acid | 2018 | 1 |
| 13 | 2017 | 25 | |
| 14 | 2014 | 62 | |
| 15 | 2013 | 71 | |
| 16 | 2010 | 38 | |
| 17 | 2010 | 401 | |
| 18 | 2008 | 31 | |
| 19 | 2007 | 32 | |
| 20 | 2005 | 269 |
About Jun Hirayama
Jun Hirayama is a scholar working on Aging, Endocrine and Autonomic Systems, Catalysis, Process Chemistry and Technology and Physiology, having authored 96 papers that have together received 5.6k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (35 papers), Light effects on plants (16 papers), Spaceflight effects on biology (12 papers), Genetics, Aging, and Longevity in Model Organisms (12 papers), Catalytic Processes in Materials Science (7 papers), Nanomaterials for catalytic reactions (7 papers), Photoreceptor and optogenetics research (6 papers) and Bone health and osteoporosis research (6 papers). The work is most often cited by research in Aging (960 citations), Endocrine and Autonomic Systems (3.2k citations), Geriatrics and Gerontology (327 citations), Physiology (1.7k citations) and Catalysis (363 citations). Jun Hirayama has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Paolo Sassone‐Corsi, Masao Doi, Benedetto Grimaldi, Yasukazu Nakahata, Saurabh Sahar, Milota Kaluzová, Danica Chen, Leonard Guarente, Teruya Tamaru and Ken Takamatsu. Their work appears in journals such as Scientific Reports, Biological and Pharmaceutical Bulletin, Journal of Biological Chemistry, ACS Catalysis and Proceedings of the National Academy of Sciences.
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.