Chaoying Cui

1.9k citations
32 papers · 960 indexed · h-index 17

Chaoying Cui

31 papers receiving 946 citations

Peers

Chaoying Cui
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
Replace Andrzej Furman with:
Andrzej Furman Türkiye
Licínio Manco Portugal
Mason Barr United States
Mercedes Villena Bolivia
Anne-Sophie Lambert France
Guangyun Sun United States
Tianyi Wu China
Ri-Li Ge United States
Peter K. Joshi United Kingdom
David López Herráez Germany
Chaoying Cui relative to Andrzej Furman Türkiye Andrzej Furman's profile →
Citations per field
00.5×7.8×
Andrzej Furman · 1×
Citations per year

Countries citing papers authored by Chaoying Cui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chaoying Cui Line = papers co-authored together Chaoying Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 20235
4 20222
5 202130
6 202052
7 201931
8 201874
9 20165
10 201518
11 201528
12
A genetic adaptive pattern-low hemoglobin concentration in the Himalayan highlanders.
201310
13 2013158
14 201316
15 20122
16 200817
17 200836
18 200723
19 200724
20 200120

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.

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