Dai Shiba
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Spaceflight effects on biology
Papers in
- Physiology 16
- Spaceflight effects on biology 16
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- Muscle Physiology and Disorders 3
- Co-authors
- Masaki Shirakawa (17 shared papers)Satoru Takahashi (16 shared papers)Takashi Kudo (14 shared papers)Hironobu Morita (6 shared papers)Michito Hamada (4 shared papers)Masafumi Muratani (8 shared papers)Masahiro Shinohara (2 shared papers)Michihiko Shimomura (3 shared papers)
- Journals
- Scientific Reports (5 papers)Communications Biology (3 papers)PLoS ONE (3 papers)iScience (1 paper)EXPERIMENTAL ANIMALS (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Dai Shiba
20 papers receiving 358 citations
Peers
Comparison fields: 5 of 69
- Aging 47
- Physiology 292
- Developmental Neuroscience 30
- Genetics 100
- Endocrine and Autonomic Systems 20
Countries citing papers authored by Dai Shiba
This map shows the geographic impact of Dai Shiba'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 Dai Shiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Shiba more than expected).
Fields of papers citing papers by Dai Shiba
This network shows the impact of papers produced by Dai Shiba. 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 Dai Shiba. The network helps show where Dai Shiba may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Shiba, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 66 | |
| 2 | 2019 | 48 | |
| 3 | 2018 | 44 | |
| 4 | 2015 | 28 | |
| 5 | 2019 | 23 | |
| 6 | 2017 | 20 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2015 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2021 | 2 |
About Dai Shiba
Dai Shiba is a scholar working on Physiology, Molecular Biology, Endocrine and Autonomic Systems, Genetics and Cell Biology, having authored 21 papers that have together received 365 indexed citations. Recurring topics across this work include Spaceflight effects on biology (16 papers), High Altitude and Hypoxia (4 papers), Circadian rhythm and melatonin (4 papers), Space Exploration and Technology (3 papers), Muscle metabolism and nutrition (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Muscle Physiology and Disorders (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (47 citations), Physiology (292 citations), Developmental Neuroscience (30 citations), Genetics (100 citations) and Endocrine and Autonomic Systems (20 citations). Dai Shiba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masaki Shirakawa, Satoru Takahashi, Takashi Kudo, Hironobu Morita, Michito Hamada, Masafumi Muratani, Masahiro Shinohara, Michihiko Shimomura, Hiroshi Asahara and Chikara Abe. Their work appears in journals such as Scientific Reports, Communications Biology, PLoS ONE, iScience and EXPERIMENTAL ANIMALS.
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.