Xiaona Cui
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
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- Diabetes Treatment and Management
- Diabetes Management and Research
Papers in
- Surgery 13
- Pancreatic function and diabetes 12
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- Plant Gene Expression Analysis 2
- Plant Reproductive Biology 2
- Co-authors
- Lu Yao (5 shared papers)Yongsheng Chang (4 shared papers)Fude Fang (4 shared papers)Tianpei Hong (16 shared papers)Rui Wei (16 shared papers)Jun Zhang (2 shared papers)Tianjiao Wei (12 shared papers)Kun Yang (9 shared papers)
- Journals
- Metabolism (2 papers)Diabetologia (2 papers)Diabetes (2 papers)Current Drug Metabolism (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Xiaona Cui
38 papers receiving 832 citations
Peers
Comparison fields: 5 of 82
- Geriatrics and Gerontology 102
- Endocrinology, Diabetes and Metabolism 181
- Physiology 178
- Cancer Research 84
- Pharmacology 42
Countries citing papers authored by Xiaona Cui
This map shows the geographic impact of Xiaona Cui'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 Xiaona Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaona Cui more than expected).
Fields of papers citing papers by Xiaona Cui
This network shows the impact of papers produced by Xiaona Cui. 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 Xiaona Cui. The network helps show where Xiaona Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaona Cui, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 109 | |
| 2 | 2013 | 91 | |
| 3 | 2017 | 79 | |
| 4 | 2020 | 76 | |
| 5 | 2008 | 51 | |
| 6 | 2021 | 51 | |
| 7 | 2023 | 34 | |
| 8 | 2020 | 32 | |
| 9 | 2017 | 32 | |
| 10 | 2016 | 31 | |
| 11 | 2022 | 27 | |
| 12 | 2024 | 25 | |
| 13 | 2022 | 19 | |
| 14 | 2019 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2013 | 16 | |
| 17 | 2016 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2018 | 12 | |
| 20 | 2018 | 11 |
About Xiaona Cui
Xiaona Cui is a scholar working on Surgery, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 39 papers that have together received 837 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Diabetes Management and Research (3 papers), Diabetes and associated disorders (3 papers), Adipose Tissue and Metabolism (3 papers), Plant Molecular Biology Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Plant Gene Expression Analysis (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Geriatrics and Gerontology (102 citations), Endocrinology, Diabetes and Metabolism (181 citations), Physiology (178 citations), Cancer Research (84 citations) and Pharmacology (42 citations). Xiaona Cui has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Lu Yao, Yongsheng Chang, Fude Fang, Tianpei Hong, Rui Wei, Jun Zhang, Tianjiao Wei, Kun Yang, Jin Yang and Xiaoying Yang. Their work appears in journals such as Metabolism, Diabetologia, Diabetes, Current Drug Metabolism and American Journal of Physiology-Endocrinology and Metabolism.
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.