Suxia Yang
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Acute Kidney Injury Research
Papers in
- Nephrology 15
- Chronic Kidney Disease and Diabetes 10
- Renal Diseases and Glomerulopathies 3
- Acute Kidney Injury Research 2
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- Atrial Fibrillation Management and Outcomes 2
- Co-authors
- Baoping Chen (4 shared papers)Yali Ma (4 shared papers)Xinxin Zhao (5 shared papers)Shiying Wang (3 shared papers)Jun Shi (3 shared papers)Jun Shi (5 shared papers)Huicong Li (2 shared papers)Fang Chen (1 shared paper)
- Journals
- Scientific Reports (4 papers)Journal of Cellular and Molecular Medicine (2 papers)European Journal of Pharmacology (2 papers)Biomedicine & Pharmacotherapy (2 papers)Chemico-Biological Interactions (1 paper)
- Partner nations
- China
In The Last Decade
Suxia Yang
25 papers receiving 590 citations
Peers
Comparison fields: 5 of 62
- Nephrology 180
- Complementary and alternative medicine 34
- Drug Discovery 1
- Molecular Biology 188
- Cancer Research 36
Countries citing papers authored by Suxia Yang
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).
Fields of papers citing papers by Suxia Yang
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.
Co-authors
The 25 scholars most cited alongside Suxia Yang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 114 | |
| 2 | 2017 | 86 | |
| 3 | 2017 | 50 | |
| 4 | 2017 | 46 | |
| 5 | 2017 | 43 | |
| 6 | 2021 | 32 | |
| 7 | 2013 | 28 | |
| 8 | 2017 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2019 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2017 | 18 | |
| 14 | 2011 | 17 | |
| 15 | 2017 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 2018 | 9 | |
| 18 | 2023 | 4 | |
| 19 | 2011 | 3 | |
| 20 | 2018 | 3 |
About Suxia Yang
Suxia Yang is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Transplantation, Molecular Biology and Surgery, having authored 26 papers that have together received 609 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (10 papers), Renal Diseases and Glomerulopathies (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Acute Kidney Injury Research (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Organ Donation and Transplantation (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Nephrology (180 citations), Complementary and alternative medicine (34 citations), Drug Discovery (1 citation), Molecular Biology (188 citations) and Cancer Research (36 citations). Suxia Yang has collaborated with scholars based in China. Frequent co-authors include Baoping Chen, Yali Ma, Xinxin Zhao, Shiying Wang, Jun Shi, Jun Shi, Huicong Li, Fang Chen, Fang Chen and Junwei Zhang. Their work appears in journals such as Scientific Reports, Journal of Cellular and Molecular Medicine, European Journal of Pharmacology, Biomedicine & Pharmacotherapy and Chemico-Biological Interactions.
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.