Yuting Ruan
Impact in
- Physiology top 10%
- Diet and metabolism studies
- Alzheimer's disease research and treatments
- Adipose Tissue and Metabolism
Papers in
- Physiology 11
- Dietary Effects on Health 3
- Alzheimer's disease research and treatments 3
- Diet and metabolism studies 3
- Adipose Tissue and Metabolism 2
- Nutrition and Health in Aging 2
-
- Gut microbiota and health 4
- Co-authors
- Jia Man Sun (11 shared papers)Hong Chen (10 shared papers)Rongping Chen (7 shared papers)Na Yu (2 shared papers)Fangyao Chen (1 shared paper)Jie He (1 shared paper)Konrad T. Beyreuther (2 shared papers)Xiaoyan Gao (1 shared paper)
- Journals
- Diabetes (2 papers)Medicine (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Frontiers in Endocrinology (2 papers)Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuting Ruan
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Physiology 349
- Biological Psychiatry 22
- Surfaces, Coatings and Films 61
- Cancer Research 104
- Molecular Biology 387
Countries citing papers authored by Yuting Ruan
This map shows the geographic impact of Yuting Ruan'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 Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Ruan more than expected).
Fields of papers citing papers by Yuting Ruan
This network shows the impact of papers produced by Yuting Ruan. 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 Ruan. The network helps show where Yuting Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Ruan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 179 | |
| 2 | 2017 | 100 | |
| 3 | 2004 | 90 | |
| 4 | 2018 | 88 | |
| 5 | 2020 | 86 | |
| 6 | 2022 | 65 | |
| 7 | 2009 | 61 | |
| 8 | 2021 | 55 | |
| 9 | 2016 | 45 | |
| 10 | 2023 | 37 | |
| 11 | 2022 | 29 | |
| 12 | 2021 | 27 | |
| 13 | 2018 | 24 | |
| 14 | 2015 | 24 | |
| 15 | 2023 | 15 | |
| 16 | 2022 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2021 | 8 |
About Yuting Ruan
Yuting Ruan is a scholar working on Physiology, Molecular Biology, Epidemiology, Biomaterials and Cancer Research, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Dietary Effects on Health (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Alzheimer's disease research and treatments (3 papers), Diet and metabolism studies (3 papers), Cancer-related molecular mechanisms research (2 papers), Adipose Tissue and Metabolism (2 papers) and Nutrition and Health in Aging (2 papers). The work is most often cited by research in Physiology (349 citations), Biological Psychiatry (22 citations), Surfaces, Coatings and Films (61 citations), Cancer Research (104 citations) and Molecular Biology (387 citations). Yuting Ruan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jia Man Sun, Hong Chen, Rongping Chen, Na Yu, Fangyao Chen, Jie He, Konrad T. Beyreuther, Xiaoyan Gao, Tobias Hartmann and Guoqiang Chen. Their work appears in journals such as Diabetes, Medicine, Diabetes Metabolic Syndrome and Obesity, Frontiers in Endocrinology and Molecular Medicine.
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.