Sheng-kai Yan
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
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- Natural Antidiabetic Agents Studies
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 3
- Lipoproteins and Cardiovascular Health 3
- Co-authors
- Xun Jin (1 shared paper)Christopher Wai Kei Lam (1 shared paper)Hui Yang (1 shared paper)Jian‐Jun Li (2 shared papers)Runlin Gao (2 shared papers)Zengwu Wang (2 shared papers)Shui‐Ping Zhao (2 shared papers)Guoping Lü (2 shared papers)
In The Last Decade
Sheng-kai Yan
12 papers receiving 404 citations
Sheng-kai Yan's Hit Papers
Peers
Comparison fields: 5 of 92
- Biochemistry 43
- Endocrinology, Diabetes and Metabolism 100
- Clinical Biochemistry 35
- Physiology 60
- Nutrition and Dietetics 35
Countries citing papers authored by Sheng-kai Yan
This map shows the geographic impact of Sheng-kai Yan'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 Sheng-kai Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng-kai Yan more than expected).
Fields of papers citing papers by Sheng-kai Yan
This network shows the impact of papers produced by Sheng-kai Yan. 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 Sheng-kai Yan. The network helps show where Sheng-kai Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheng-kai Yan, 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 | 2011 | 227 | |
| 2 | 2023 Chinese guideline for lipid management Hit paper breakdown → | 2023 | 81 |
| 3 | 2023 | 36 | |
| 4 | 2020 | 28 | |
| 5 | 2024 | 14 | |
| 6 | [Hyperhomocysteinemia and deep-vein thrombosis]. | 2003 | 10 |
| 7 | 2023 | 8 | |
| 8 | [Analysis of the levels of serum total calcium and inorganic phosphate of 2,342 children in Beijing]. | 2004 | 4 |
| 9 | 2023 | 4 | |
| 10 | [Study on the relationship between smoking, alcohol intake and hyperlipidemia in fishermen]. | 2003 | 4 |
| 11 | [Effect of tabellae Polygoni cuspidati on blood lipids and rheological property in rats]. | 1993 | 2 |
| 12 | [Evaluation of enzymatic method for determination of serum beta-hydroxybutyrate and its clinical application]. | 2003 | 1 |
About Sheng-kai Yan
Sheng-kai Yan is a scholar working on Surgery, Physiology, Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Rheumatology, having authored 12 papers that have together received 419 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Folate and B Vitamins Research (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Metabolism and Genetic Disorders (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), Long-Term Effects of COVID-19 (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Biochemistry (43 citations), Endocrinology, Diabetes and Metabolism (100 citations), Clinical Biochemistry (35 citations), Physiology (60 citations) and Nutrition and Dietetics (35 citations). Sheng-kai Yan has collaborated with scholars based in China and Macao. Frequent co-authors include Xun Jin, Christopher Wai Kei Lam, Hui Yang, Jian‐Jun Li, Runlin Gao, Zengwu Wang, Shui‐Ping Zhao, Guoping Lü, Jing Liu and Na‐Qiong Wu. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Biosensors and Bioelectronics, Frontiers in Pharmacology, LWT and Experimental and Therapeutic Medicine.
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.