Suxia Yang

27 papers and 536 indexed citations i.

About

Suxia Yang is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Suxia Yang has authored 27 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nephrology, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Molecular Biology. Recurrent topics in Suxia Yang’s work include Chronic Kidney Disease and Diabetes (6 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Acute Kidney Injury Research (3 papers). Suxia Yang is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Acute Kidney Injury Research (3 papers). Suxia Yang collaborates with scholars based in China. Suxia Yang's co-authors include Jun Shi, Baoping Chen, Yali Ma, Xinxin Zhao, Shiying Wang, Jun Shi, Jun Shi, Fang Chen, Yang Li and Fang Chen and has published in prestigious journals such as Scientific Reports, European Journal of Pharmacology and Journal of Cellular Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Suxia Yang i

Fields of papers citing papers by Suxia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suxia Yang

Since Specialization
Citations

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

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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2025