Sai Lv
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
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- Gout, Hyperuricemia, Uric Acid
Papers in
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- Cardiovascular Disease and Adiposity 2
- Acute Myocardial Infarction Research 2
- Cardiac Valve Diseases and Treatments 1
- Cardiovascular Function and Risk Factors 1
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- Cardiac Imaging and Diagnostics 3
- Co-authors
- Yujie Zhou (8 shared papers)Zhijian Wang (4 shared papers)Xiaoli Liu (2 shared papers)Xiaoteng Ma (4 shared papers)Qiaoyu Shao (3 shared papers)Yujing Cheng (4 shared papers)Lisha Dong (3 shared papers)Hua Shen (3 shared papers)
- Journals
- Lipids in Health and Disease (2 papers)BMC Cardiovascular Disorders (2 papers)Medicine (2 papers)Current Vascular Pharmacology (1 paper)Cardiovascular Diabetology (1 paper)
- Partner nations
- ChinaUnited StatesAlbania
In The Last Decade
Sai Lv
9 papers receiving 288 citations
Peers
Comparison fields: 5 of 39
- Endocrinology, Diabetes and Metabolism 71
- Nephrology 26
- Cardiology and Cardiovascular Medicine 75
- Internal Medicine 4
- Radiology, Nuclear Medicine and Imaging 26
Countries citing papers authored by Sai Lv
This map shows the geographic impact of Sai Lv'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 Sai Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Lv more than expected).
Fields of papers citing papers by Sai Lv
This network shows the impact of papers produced by Sai Lv. 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 Sai Lv. The network helps show where Sai Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Sai Lv, 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 | 2020 | 156 | |
| 2 | 2019 | 75 | |
| 3 | 2018 | 21 | |
| 4 | 2018 | 14 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2019 | 4 | |
| 8 | 2021 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2022 | 0 |
About Sai Lv
Sai Lv is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Nephrology, Surgery and Oncology, having authored 10 papers that have together received 296 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (3 papers), Cardiovascular Disease and Adiposity (2 papers), Acute Myocardial Infarction Research (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Coronary Interventions and Diagnostics (1 paper), Cardiac Valve Diseases and Treatments (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (71 citations), Nephrology (26 citations), Cardiology and Cardiovascular Medicine (75 citations), Internal Medicine (4 citations) and Radiology, Nuclear Medicine and Imaging (26 citations). Sai Lv has collaborated with scholars based in China, United States and Albania. Frequent co-authors include Yujie Zhou, Zhijian Wang, Xiaoli Liu, Xiaoteng Ma, Qiaoyu Shao, Yujing Cheng, Lisha Dong, Hua Shen, Yan Sun and Yu Du. Their work appears in journals such as Lipids in Health and Disease, BMC Cardiovascular Disorders, Medicine, Current Vascular Pharmacology and Cardiovascular Diabetology.
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.