Luanluan Sun
Impact in
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- Intracerebral and Subarachnoid Hemorrhage Research
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Genetics 2
- Genomics and Rare Diseases 1
- Nutrition, Genetics, and Disease 1
- Genetic Associations and Epidemiology 1
- Co-authors
- Robin Walters (1 shared paper)Richard Peto (1 shared paper)Robert Clarke (1 shared paper)Rory Collins (1 shared paper)Zheng Bian (1 shared paper)Michael Hill (1 shared paper)Zhengming Chen (1 shared paper)Liming Li (2 shared papers)
- Journals
- Nature Medicine (1 paper)International Journal of Epidemiology (1 paper)PLoS Genetics (1 paper)Genes (1 paper)Atherosclerosis (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Luanluan Sun
7 papers receiving 277 citations
Luanluan Sun's Hit Papers
Peers
Comparison fields: 5 of 57
- Neurology 31
- Endocrinology, Diabetes and Metabolism 31
- Cardiology and Cardiovascular Medicine 34
- Nephrology 10
- Surgery 57
Countries citing papers authored by Luanluan Sun
This map shows the geographic impact of Luanluan Sun'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 Luanluan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luanluan Sun more than expected).
Fields of papers citing papers by Luanluan Sun
This network shows the impact of papers produced by Luanluan Sun. 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 Luanluan Sun. The network helps show where Luanluan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Luanluan Sun, 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 | Causal associations of blood lipids with risk of ischemic stroke and intracerebral hemorrhage in Chinese adults Hit paper breakdown → | 2019 | 221 |
| 2 | 2021 | 32 | |
| 3 | 2021 | 13 | |
| 4 | 2024 | 6 | |
| 5 | 2016 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2020 | 1 |
About Luanluan Sun
Luanluan Sun is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 279 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Nutrition, Genetics, and Disease (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Hepatitis B Virus Studies (1 paper), Health, Environment, Cognitive Aging (1 paper), Antiplatelet Therapy and Cardiovascular Diseases (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Neurology (31 citations), Endocrinology, Diabetes and Metabolism (31 citations), Cardiology and Cardiovascular Medicine (34 citations), Nephrology (10 citations) and Surgery (57 citations). Luanluan Sun has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Robin Walters, Richard Peto, Robert Clarke, Rory Collins, Zheng Bian, Michael Hill, Zhengming Chen, Liming Li, Jun Lv and Iona Y. Millwood. Their work appears in journals such as Nature Medicine, International Journal of Epidemiology, PLoS Genetics, Genes and Atherosclerosis.
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.