Xinxing Yu
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Diet and metabolism studies
- Alzheimer's disease research and treatments
- Adipose Tissue and Metabolism
- Dietary Effects on Health
Papers in
-
- Alzheimer's disease research and treatments 6
- Diet and metabolism studies 1
-
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Philipp Gut (1 shared paper)Yu Huang (1 shared paper)Minghao Zhao (1 shared paper)Saptarsi M. Haldar (1 shared paper)Eric Verdin (1 shared paper)Anthony J. Covarrubias (1 shared paper)Lennart Mucke (8 shared papers)Gui-Qiu Yu (7 shared papers)
- Journals
- Neurobiology of Disease (2 papers)Molecular Plant (1 paper)eNeuro (1 paper)iScience (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Xinxing Yu
11 papers receiving 731 citations
Xinxing Yu's Hit Papers
Peers
Comparison fields: 5 of 77
- Aging 58
- Physiology 423
- Biological Psychiatry 31
- Neurology 71
- Cellular and Molecular Neuroscience 110
Countries citing papers authored by Xinxing Yu
This map shows the geographic impact of Xinxing Yu'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 Xinxing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinxing Yu more than expected).
Fields of papers citing papers by Xinxing Yu
This network shows the impact of papers produced by Xinxing Yu. 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 Xinxing Yu. The network helps show where Xinxing Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinxing Yu, 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 | Ketogenic Diet Reduces Midlife Mortality and Improves Memory in Aging Mice Hit paper breakdown → | 2017 | 368 |
| 2 | 2020 | 81 | |
| 3 | 2020 | 70 | |
| 4 | 2021 | 52 | |
| 5 | 2020 | 46 | |
| 6 | 2022 | 36 | |
| 7 | 2018 | 27 | |
| 8 | 2023 | 23 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 11 |
About Xinxing Yu
Xinxing Yu is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Cell Biology, having authored 11 papers that have together received 742 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Diet and metabolism studies (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Epilepsy research and treatment (1 paper), Neurological disorders and treatments (1 paper) and Mechanisms of cancer metastasis (1 paper). The work is most often cited by research in Aging (58 citations), Physiology (423 citations), Biological Psychiatry (31 citations), Neurology (71 citations) and Cellular and Molecular Neuroscience (110 citations). Xinxing Yu has collaborated with scholars based in United States and China. Frequent co-authors include Philipp Gut, Yu Huang, Minghao Zhao, Saptarsi M. Haldar, Eric Verdin, Anthony J. Covarrubias, Lennart Mucke, Gui-Qiu Yu, Che-Wei Chang and Shuqun Zhang. Their work appears in journals such as Neurobiology of Disease, Molecular Plant, eNeuro, iScience and Cell Reports.
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.