Yuting Wu
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
-
- Autophagy in Disease and Therapy 3
- Adipokines, Inflammation, and Metabolic Diseases 2
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- Natural Antidiabetic Agents Studies 2
- Co-authors
- Chih‐Hao Wang (1 shared paper)Yau‐Huei Wei (1 shared paper)Shi‐Bei Wu (1 shared paper)Yaqiong Chen (3 shared papers)Rong Wu (2 shared papers)Xu Qian (2 shared papers)Yi Liu (1 shared paper)Xiujie Sun (1 shared paper)
- Journals
- Nature Communications (2 papers)Sleep Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Psychiatry (1 paper)BMC Endocrine Disorders (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yuting Wu
25 papers receiving 665 citations
Peers
Comparison fields: 5 of 101
- Aging 44
- Endocrine and Autonomic Systems 114
- Physiology 184
- Biological Psychiatry 16
- Cancer Research 73
Countries citing papers authored by Yuting Wu
This map shows the geographic impact of Yuting Wu'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 Yuting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Wu more than expected).
Fields of papers citing papers by Yuting Wu
This network shows the impact of papers produced by Yuting Wu. 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 Yuting Wu. The network helps show where Yuting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Wu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 255 | |
| 2 | 2018 | 104 | |
| 3 | 2016 | 101 | |
| 4 | 2015 | 42 | |
| 5 | 2022 | 31 | |
| 6 | 2019 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 10 | |
| 10 | 2016 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2016 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2025 | 3 |
About Yuting Wu
Yuting Wu is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Endocrine and Autonomic Systems and Physiology, having authored 28 papers that have together received 670 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Autophagy in Disease and Therapy (3 papers), Regulation of Appetite and Obesity (3 papers), Natural Antidiabetic Agents Studies (2 papers), Circadian rhythm and melatonin (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Aging (44 citations), Endocrine and Autonomic Systems (114 citations), Physiology (184 citations), Biological Psychiatry (16 citations) and Cancer Research (73 citations). Yuting Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chih‐Hao Wang, Yau‐Huei Wei, Shi‐Bei Wu, Yaqiong Chen, Rong Wu, Xu Qian, Yi Liu, Xiujie Sun, Deyi Zhang and Fabin Dang. Their work appears in journals such as Nature Communications, Sleep Medicine, Proceedings of the National Academy of Sciences, BMC Psychiatry and BMC Endocrine Disorders.
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.