Lin Pi
Impact in
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- Gout, Hyperuricemia, Uric Acid
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- Blood Pressure and Hypertension Studies
Papers in
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- Blood Pressure and Hypertension Studies 3
- Heart Rate Variability and Autonomic Control 2
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- Aluminum Alloys Composites Properties 4
- Co-authors
- Fang Ye (1 shared paper)Cong-Cong Hou (1 shared paper)Chen Fang (1 shared paper)Ming‐Sheng Wang (2 shared papers)Xiaoyu Yang (2 shared papers)Yuanxi Xu (1 shared paper)Jiyun Wang (1 shared paper)Kai Xiong (2 shared papers)
In The Last Decade
Lin Pi
14 papers receiving 97 citations
Peers
Comparison fields: 5 of 62
- Nephrology 21
- Cardiology and Cardiovascular Medicine 24
- Biomaterials 12
- Family Practice 2
- Genetics 9
Countries citing papers authored by Lin Pi
This map shows the geographic impact of Lin Pi'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 Lin Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Pi more than expected).
Fields of papers citing papers by Lin Pi
This network shows the impact of papers produced by Lin Pi. 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 Lin Pi. The network helps show where Lin Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Pi, 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 | Predictive value of serum uric acid on cardiovascular disease and all-cause mortality in urban Chinese patients. | 2010 | 24 |
| 2 | 2020 | 21 | |
| 3 | 2019 | 11 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 7 | |
| 6 | 2025 | 3 | |
| 7 | Association of G894T Polymorphism of Endothelial Nitric Oxide Synthase Gene and Essential Hypertension | 2004 | 3 |
| 8 | 2015 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2010 | 3 | |
| 11 | 2007 | 3 | |
| 12 | [Control rate of increased low-density lipoprotein cholesterol levels in cardiology outpatients with coronary heart disease in Beijing]. | 2013 | 3 |
| 13 | Impact of therapy options on in-hospital and three-year outcome of patients with ST-elevation myocardial infarction in Beijing. | 2013 | 2 |
| 14 | Association of Polymorphism of Endothelial Nitric Oxide Synthase Gene with Essential Hypertension | 2003 | 1 |
| 15 | 2025 | 0 |
About Lin Pi
Lin Pi is a scholar working on Cardiology and Cardiovascular Medicine, Mechanical Engineering, Biomaterials, Surgery and Molecular Biology, having authored 15 papers that have together received 98 indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (4 papers), Blood Pressure and Hypertension Studies (3 papers), Magnesium Alloys: Properties and Applications (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Material Properties and Applications (1 paper), Acute Ischemic Stroke Management (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Nephrology (21 citations), Cardiology and Cardiovascular Medicine (24 citations), Biomaterials (12 citations), Family Practice (2 citations) and Genetics (9 citations). Lin Pi has collaborated with scholars based in China and Germany. Frequent co-authors include Fang Ye, Cong-Cong Hou, Chen Fang, Ming‐Sheng Wang, Xiaoyu Yang, Yuanxi Xu, Jiyun Wang, Kai Xiong, Yong Mao and Jue Li. Their work appears in journals such as Transactions of Nonferrous Metals Society of China, Materials Today Chemistry, Clinical Research in Cardiology, Journal of Materials Research and Technology and Current Stem Cell Research & Therapy.
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.