Jun Yoshino
Impact in
- Geriatrics and Gerontology top 0.05%
- Sirtuins and Resveratrol in Medicine
- Physiology top 0.1%
- Adipose Tissue and Metabolism
- Calcium signaling and nucleotide metabolism
- Diet and metabolism studies
Papers in
-
- Sirtuins and Resveratrol in Medicine 24
-
- Neurogenesis and neuroplasticity mechanisms 11
- Co-authors
- Shin‐ichiro ImaiKathryn F. MillsMyeong Jin YoonSamuel KleinJoseph A. BaurRegina C. ArmstrongTuan Q. LeSheng-Kwei Song
- Journals
- Cell Metabolism (10 papers)Japanese Journal of Applied Physics (7 papers)Cell Reports (6 papers)Neurochemical Research (5 papers)Diabetes (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Jun Yoshino
174 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Geriatrics and Gerontology 2.5k
- Physiology 1.1k
- Aging 422
- Endocrine and Autonomic Systems 906
- Physiology 3.4k
Countries citing papers authored by Jun Yoshino
This map shows the geographic impact of Jun Yoshino'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 Yoshino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yoshino more than expected).
Fields of papers citing papers by Jun Yoshino
This network shows the impact of papers produced by Jun Yoshino. 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 Yoshino. The network helps show where Jun Yoshino may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yoshino, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 9 | |
| 19 | 2019 | 16 | |
| 20 | 2018 | 18 |
About Jun Yoshino
Jun Yoshino is a scholar working on Geriatrics and Gerontology, Developmental Neuroscience, Atmospheric Science, Oceanography and Physiology, having authored 205 papers that have together received 10.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (41 papers), Tropical and Extratropical Cyclones Research (35 papers), Sirtuins and Resveratrol in Medicine (24 papers), Ocean Waves and Remote Sensing (23 papers), Climate variability and models (17 papers), Nerve injury and regeneration (16 papers), Meteorological Phenomena and Simulations (16 papers) and Neurogenesis and neuroplasticity mechanisms (11 papers). The work is most often cited by research in Geriatrics and Gerontology (2.5k citations), Physiology (1.1k citations), Aging (422 citations), Endocrine and Autonomic Systems (906 citations) and Physiology (3.4k citations). Jun Yoshino has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shin‐ichiro Imai, Kathryn F. Mills, Myeong Jin Yoon, Samuel Klein, Joseph A. Baur, Regina C. Armstrong, Tuan Q. Le, Sheng-Kwei Song, Anne H. Cross and Bruce W. Patterson. Their work appears in journals such as Cell Metabolism, Japanese Journal of Applied Physics, Cell Reports, Neurochemical Research and Diabetes.
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.