Wei Yang
- Nephrology top 0.1%
- Dialysis and Renal Disease Management 23
- Chronic Kidney Disease and Diabetes 22
- Parathyroid Disorders and Treatments 11
- Biochemistry top 0.05%
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- Blood Pressure and Hypertension Studies 16
- Heart Failure Treatment and Management 12
- Cardiovascular Function and Risk Factors 9
- Transplantation top 2%
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- Congenital Heart Disease Studies 11
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- Statistical Methods and Inference 10
- Co-authors
- Lingyun WuRui WangGuangdong YangHarold I. FeldmanBo JiangShengming ZhangJiansong QiWeitong Mu
- Journals
- Clinical Journal of the American Society of Nephrology (16 papers)Journal of the American Society of Nephrology (10 papers)American Journal of Kidney Diseases (9 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Wei Yang
162 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Nephrology 2.5k
- Biochemistry 2.5k
- Endocrine and Autonomic Systems 624
- Cardiology and Cardiovascular Medicine 1.7k
- Transplantation 146
Countries citing papers authored by Wei Yang
This map shows the geographic impact of Wei 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 Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yang more than expected).
Fields of papers citing papers by Wei Yang
This network shows the impact of papers produced by Wei 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 Wei Yang. The network helps show where Wei Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 28 | |
| 14 | 2021 | 42 | |
| 15 | 2021 | 0 | |
| 16 | 2020 | 47 | |
| 17 | 2017 | 1 | |
| 18 | 2012 | 160 | |
| 19 | Abstract 2002: 22q11.2 Deletion Status and the Risk of Aortic Root Dilation in Pediatric Patients With Tetralogy of Fallot | 2009 | 1 |
| 20 | H 2 S as a Physiologic Vasorelaxant: Hypertension in Mice with Deletion of Cystathionine γ-Lyasebreakdown → | 2008 | 2004 |
About Wei Yang
Wei Yang is a scholar working on Nephrology, Transplantation and Statistics and Probability, having authored 172 papers that have together received 9.2k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (23 papers), Chronic Kidney Disease and Diabetes (22 papers), Blood Pressure and Hypertension Studies (16 papers), Heart Failure Treatment and Management (12 papers), Congenital Heart Disease Studies (11 papers), Parathyroid Disorders and Treatments (11 papers), Statistical Methods and Inference (10 papers) and Cardiovascular Function and Risk Factors (9 papers). The work is most often cited by research in Nephrology (2.5k citations), Biochemistry (2.5k citations) and Endocrine and Autonomic Systems (624 citations). Wei Yang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lingyun Wu, Rui Wang, Guangdong Yang, Harold I. Feldman, Bo Jiang, Shengming Zhang, Jiansong Qi, Weitong Mu, Asif K. Mustafa and Qinghe Meng. Their work appears in journals such as Clinical Journal of the American Society of Nephrology, Journal of the American Society of Nephrology, American Journal of Kidney Diseases, Statistics in Medicine and The American Journal of Cardiology.
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.