Yuting Wu
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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- Autophagy in Disease and Therapy 3
- Adipokines, Inflammation, and Metabolic Diseases 2
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- Diet, Metabolism, and Disease 2
- Natural Antidiabetic Agents Studies 2
- Co-authors
- Yau‐Huei Wei (1 shared paper)Shi‐Bei Wu (1 shared paper)Chih‐Hao Wang (1 shared paper)Yaqiong Chen (3 shared papers)Xu Qian (2 shared papers)Rong Wu (2 shared papers)Deyi Zhang (1 shared paper)Xiujie Sun (1 shared paper)
- Journals
- Nature Communications (2 papers)Experimental Biology and Medicine (1 paper)Life Sciences (1 paper)Aquaculture Reports (1 paper)Insects (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuting Wu
26 papers receiving 688 citations
Peers
Comparison fields: 5 of 97
- Aging 42
- Endocrine and Autonomic Systems 110
- Biological Psychiatry 16
- Physiology 162
- Cancer Research 64
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 254 | |
| 2 | 2018 | 106 | |
| 3 | 2016 | 102 | |
| 4 | 2015 | 44 | |
| 5 | 2022 | 34 | |
| 6 | 2019 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 11 | |
| 10 | 2016 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2024 | 3 |
About Yuting Wu
Yuting Wu is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Surgery, having authored 29 papers that have together received 692 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Autophagy in Disease and Therapy (3 papers), Aquaculture Nutrition and Growth (2 papers), Diet, Metabolism, and Disease (2 papers), Natural Antidiabetic Agents Studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Aging (42 citations), Endocrine and Autonomic Systems (110 citations), Biological Psychiatry (16 citations), Physiology (162 citations) and Cancer Research (64 citations). Yuting Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yau‐Huei Wei, Shi‐Bei Wu, Chih‐Hao Wang, Yaqiong Chen, Xu Qian, Rong Wu, Deyi Zhang, Xiujie Sun, Fabin Dang and Yi Liu. Their work appears in journals such as Nature Communications, Experimental Biology and Medicine, Life Sciences, Aquaculture Reports and Insects.
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.