Hideki Terajima
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- RNA regulation and disease 4
- RNA Research and Splicing 3
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 1
- Prion Diseases and Protein Misfolding 1
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- Circadian rhythm and melatonin 2
- Co-authors
- Yoshitaka Fukada (4 shared papers)Hikari Yoshitane (4 shared papers)Shigeki Shimba (2 shared papers)Wataru Iwasaki (2 shared papers)Haruka Ozaki (2 shared papers)Yutaka Suzuki (2 shared papers)Chuan He (2 shared papers)Linda Zhang (2 shared papers)
- Journals
- Molecular Cell (1 paper)eLife (1 paper)Biochemical and Biophysical Research Communications (1 paper)PLoS Biology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hideki Terajima
8 papers receiving 505 citations
Peers
Comparison fields: 5 of 57
- Aging 44
- Endocrine and Autonomic Systems 104
- Cancer Research 113
- Molecular Biology 384
- Physiology 43
Countries citing papers authored by Hideki Terajima
This map shows the geographic impact of Hideki Terajima'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 Hideki Terajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Terajima more than expected).
Fields of papers citing papers by Hideki Terajima
This network shows the impact of papers produced by Hideki Terajima. 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 Hideki Terajima. The network helps show where Hideki Terajima may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Terajima, 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 | 2020 | 148 | |
| 2 | 2014 | 118 | |
| 3 | 2014 | 96 | |
| 4 | 2016 | 72 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 21 | |
| 7 | 2018 | 15 | |
| 8 | 2011 | 14 |
About Hideki Terajima
Hideki Terajima is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Oncology, having authored 8 papers that have together received 510 indexed citations. Recurring topics across this work include RNA regulation and disease (4 papers), RNA Research and Splicing (3 papers), Circadian rhythm and melatonin (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (1 paper), Alzheimer's disease research and treatments (1 paper), Prion Diseases and Protein Misfolding (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Aging (44 citations), Endocrine and Autonomic Systems (104 citations), Cancer Research (113 citations), Molecular Biology (384 citations) and Physiology (43 citations). Hideki Terajima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshitaka Fukada, Hikari Yoshitane, Shigeki Shimba, Wataru Iwasaki, Haruka Ozaki, Yutaka Suzuki, Chuan He, Linda Zhang, Asao Fujiyama and Shunpei Okada. Their work appears in journals such as Molecular Cell, eLife, Biochemical and Biophysical Research Communications, PLoS Biology and Molecular and Cellular Biology.
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.