Chaoying Cui
- Genetics top 5%
- High Altitude and Hypoxia 13
- Endocrine and Autonomic Systems top 10%
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- Cancer, Hypoxia, and Metabolism 5
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- Hormonal Regulation and Hypertension 4
- Alkaline Phosphatase Research Studies 3
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- Renin-Angiotensin System Studies 4
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- Bone and Dental Protein Studies 3
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- Apelin-related biomedical research 3
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- Adipose Tissue and Metabolism 3
- Journals
- Hypertension Research (3 papers)Journal of Biological Chemistry (2 papers)Molecular Biology and Evolution (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chaoying Cui
31 papers receiving 946 citations
Peers
Comparison fields: 5 of 117
- Genetics 496
- Endocrine and Autonomic Systems 69
- Cancer Research 141
- Health, Toxicology and Mutagenesis 95
- Endocrinology, Diabetes and Metabolism 110
Countries citing papers authored by Chaoying Cui
This map shows the geographic impact of Chaoying 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 Chaoying Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoying Cui more than expected).
Fields of papers citing papers by Chaoying Cui
This network shows the impact of papers produced by Chaoying 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 Chaoying Cui. The network helps show where Chaoying Cui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chaoying 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 52 | |
| 7 | 2019 | 31 | |
| 8 | 2018 | 74 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 18 | |
| 11 | 2015 | 28 | |
| 12 | A genetic adaptive pattern-low hemoglobin concentration in the Himalayan highlanders. | 2013 | 10 |
| 13 | 2013 | 158 | |
| 14 | 2013 | 16 | |
| 15 | 2012 | 2 | |
| 16 | 2008 | 17 | |
| 17 | 2008 | 36 | |
| 18 | 2007 | 23 | |
| 19 | 2007 | 24 | |
| 20 | 2001 | 20 |
About Chaoying Cui
Chaoying Cui is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis, Cancer Research and Transportation, having authored 32 papers that have together received 960 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (13 papers), Cancer, Hypoxia, and Metabolism (5 papers), Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (4 papers), Bone and Dental Protein Studies (3 papers), Apelin-related biomedical research (3 papers), Adipose Tissue and Metabolism (3 papers) and Alkaline Phosphatase Research Studies (3 papers). The work is most often cited by research in Genetics (496 citations), Endocrine and Autonomic Systems (69 citations), Cancer Research (141 citations), Health, Toxicology and Mutagenesis (95 citations) and Endocrinology, Diabetes and Metabolism (110 citations). Chaoying Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xuebin Qi, Bing Su, Ouzhuluobu, Tianyi Wu, Gonggalanzi, Bianba, Kun Xiang, Yi Peng, Hong Shi and Xing Zhao. Their work appears in journals such as Hypertension Research, Journal of Biological Chemistry, Molecular Biology and Evolution, PLoS ONE and The Science of The Total Environment.
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.