Xiaoxuan Yu
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Flavonoids in Medical Research
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- Retinoids in leukemia and cellular processes 3
- RNA Interference and Gene Delivery 3
- Extracellular vesicles in disease 3
- Co-authors
- Qinglong Guo (15 shared papers)Po Hu (14 shared papers)Shuwen Guan (6 shared papers)Hui Hui (14 shared papers)Hui Li (3 shared papers)Liping Wang (3 shared papers)Jingyan Xu (11 shared papers)Hongzheng Wang (10 shared papers)
- Journals
- Chemical Engineering Journal (3 papers)Acta Pharmaceutica Sinica B (2 papers)BMC Public Health (2 papers)International Journal of Molecular Sciences (2 papers)Clinical and Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoxuan Yu
53 papers receiving 716 citations
Peers
Comparison fields: 5 of 108
- Aging 63
- Pharmacology 75
- Geriatrics and Gerontology 14
- Molecular Biology 265
- Physiology 17
Countries citing papers authored by Xiaoxuan Yu
This map shows the geographic impact of Xiaoxuan 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 Xiaoxuan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxuan Yu more than expected).
Fields of papers citing papers by Xiaoxuan Yu
This network shows the impact of papers produced by Xiaoxuan 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 Xiaoxuan Yu. The network helps show where Xiaoxuan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxuan 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
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 53 | |
| 2 | 2021 | 50 | |
| 3 | 2024 | 42 | |
| 4 | 2020 | 35 | |
| 5 | 2021 | 33 | |
| 6 | 2024 | 33 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 26 | |
| 9 | 2019 | 24 | |
| 10 | 2020 | 22 | |
| 11 | 2022 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2017 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2022 | 16 | |
| 19 | 2006 | 16 | |
| 20 | 2024 | 15 |
About Xiaoxuan Yu
Xiaoxuan Yu is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Immunology and Pharmacology, having authored 59 papers that have together received 724 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Molecular Sensors and Ion Detection (3 papers), Retinoids in leukemia and cellular processes (3 papers), RNA Interference and Gene Delivery (3 papers), Flavonoids in Medical Research (3 papers), Extracellular vesicles in disease (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Aging (63 citations), Pharmacology (75 citations), Geriatrics and Gerontology (14 citations), Molecular Biology (265 citations) and Physiology (17 citations). Xiaoxuan Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qinglong Guo, Po Hu, Shuwen Guan, Hui Hui, Hui Li, Liping Wang, Jingyan Xu, Hongzheng Wang, Zhanyu Wang and Zhenyu Zhao. Their work appears in journals such as Chemical Engineering Journal, Acta Pharmaceutica Sinica B, BMC Public Health, International Journal of Molecular Sciences and Clinical and Translational 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.