C. Xing

1.5k total citations
5 papers, 125 citations indexed

About

C. Xing is a scholar working on Cardiology and Cardiovascular Medicine, Nutrition and Dietetics and Psychiatry and Mental health. According to data from OpenAlex, C. Xing has authored 5 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 2 papers in Nutrition and Dietetics and 2 papers in Psychiatry and Mental health. Recurrent topics in C. Xing's work include Renin-Angiotensin System Studies (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Sodium Intake and Health (2 papers). C. Xing is often cited by papers focused on Renin-Angiotensin System Studies (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Sodium Intake and Health (2 papers). C. Xing collaborates with scholars based in China. C. Xing's co-authors include Haifeng Wang, Jun Li, Xin Wang, Hongyan Wang, Xin Wang, Jun Li, Weijie Zhang, Xiaopeng Chen, Renhai Feng and Hanzhe Zhang and has published in prestigious journals such as Brain Research, Neuroscience Letters and Ocean Engineering.

In The Last Decade

C. Xing

5 papers receiving 122 citations

Peers

C. Xing
C. Xing
Citations per year, relative to C. Xing C. Xing (= 1×) peers Ж. Д. Кобалава

Countries citing papers authored by C. Xing

Since Specialization
Citations

This map shows the geographic impact of C. Xing'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 C. Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Xing more than expected).

Fields of papers citing papers by C. Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Xing. 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 C. Xing. The network helps show where C. Xing may publish in the future.

Co-authorship network of co-authors of C. Xing

This figure shows the co-authorship network connecting the top 25 collaborators of C. Xing. A scholar is included among the top collaborators of C. Xing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Xing. C. Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Du, Peng, Sen Zhao, C. Xing, et al.. (2023). Hydrodynamic detection based on multilayer perceptron and optimization using dynamic mode decomposition. Ocean Engineering. 278. 114258–114258. 10 indexed citations
2.
Wang, Xin, et al.. (2016). Angiotensin converting enzyme serum activities: Relationship with Alzheimer’s disease. Brain Research. 1650. 196–202. 9 indexed citations
3.
Li, Jun, Xin Wang, Haifeng Wang, et al.. (2016). Renin–angiotensin system-targeting antihypertensive drugs and risk of vascular cognitive impairment: A meta-analysis. Neuroscience Letters. 615. 1–8. 16 indexed citations
4.
Wang, Haifeng, et al.. (2016). The association of renin-angiotensin system blockade use with the risks of cognitive impairment of aging and Alzheimer’s disease: A meta-analysis. Journal of Clinical Neuroscience. 33. 32–38. 60 indexed citations
5.
Wang, Haifeng, et al.. (2016). Renin-angiotensin system blockade use and risks of cognitive decline and dementia: A meta-analysis. Neuroscience Letters. 624. 53–61. 30 indexed citations

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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