Lin Pi
Impact in
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- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Natural Antidiabetic Agents Studies
Papers in
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- Blood Pressure and Hypertension Studies 5
- Acute Myocardial Infarction Research 2
-
- Nitric Oxide and Endothelin Effects 2
- Co-authors
- Chen Fang (1 shared paper)Fang Ye (1 shared paper)Yuanxi Xu (1 shared paper)Jiyun Wang (1 shared paper)Yongliang Wang (1 shared paper)Weijing Liu (1 shared paper)Yongquan Wu (1 shared paper)Ming Yang (1 shared paper)
- Journals
- Current Stem Cell Research & Therapy (1 paper)JAMA Cardiology (1 paper)The Lancet Diabetes & Endocrinology (1 paper)Current Therapeutic Research (1 paper)Journal of Cardiovascular Disease Research (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Lin Pi
11 papers receiving 314 citations
Peers
Comparison fields: 5 of 48
- Endocrinology, Diabetes and Metabolism 197
- Aging 7
- Nephrology 23
- Cardiology and Cardiovascular Medicine 38
- Genetics 12
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 | 2017 | 257 | |
| 2 | Predictive value of serum uric acid on cardiovascular disease and all-cause mortality in urban Chinese patients. | 2010 | 24 |
| 3 | 2020 | 24 | |
| 4 | 2019 | 11 | |
| 5 | Association of G894T Polymorphism of Endothelial Nitric Oxide Synthase Gene and Essential Hypertension | 2004 | 3 |
| 6 | 2010 | 3 | |
| 7 | 2015 | 3 | |
| 8 | Impact of therapy options on in-hospital and three-year outcome of patients with ST-elevation myocardial infarction in Beijing. | 2013 | 2 |
| 9 | 2016 | 2 | |
| 10 | Association of Polymorphism of Endothelial Nitric Oxide Synthase Gene with Essential Hypertension | 2003 | 1 |
| 11 | 2026 | 1 |
About Lin Pi
Lin Pi is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Genetics, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 331 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (5 papers), Acute Myocardial Infarction Research (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Diabetes Treatment and Management (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Genetic Associations and Epidemiology (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (197 citations), Aging (7 citations), Nephrology (23 citations), Cardiology and Cardiovascular Medicine (38 citations) and Genetics (12 citations). Lin Pi has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Chen Fang, Fang Ye, Yuanxi Xu, Jiyun Wang, Yongliang Wang, Weijing Liu, Yongquan Wu, Ming Yang, Dayi Hu and Jue Li. Their work appears in journals such as Current Stem Cell Research & Therapy, JAMA Cardiology, The Lancet Diabetes & Endocrinology, Current Therapeutic Research and Journal of Cardiovascular Disease Research.
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.