Luanluan Sun
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Antiplatelet Therapy and Cardiovascular Diseases
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Diabetes Treatment and Management 2
- Diabetes Management and Education 1
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- Acute Myocardial Infarction Research 1
- Co-authors
- Rory Collins (1 shared paper)Iona Y. Millwood (1 shared paper)Canqing Yu (2 shared papers)Richard Peto (1 shared paper)Michael Hill (1 shared paper)Derrick Bennett (1 shared paper)Yiping Chen (1 shared paper)Junshi Chen (1 shared paper)
- Journals
- Genes (1 paper)Nature Medicine (1 paper)International Journal of Epidemiology (1 paper)PLoS Genetics (1 paper)Atherosclerosis (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Luanluan Sun
7 papers receiving 264 citations
Luanluan Sun's Hit Papers
Peers
Comparison fields: 5 of 69
- Endocrinology, Diabetes and Metabolism 65
- Cardiology and Cardiovascular Medicine 78
- Neurology 35
- Surgery 95
- Nephrology 13
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 | 209 |
| 2 | 2021 | 31 | |
| 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, Cardiology and Cardiovascular Medicine, Epidemiology, Genetics and Surgery, having authored 7 papers that have together received 266 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Treatment and Management (2 papers), Genetic Associations and Epidemiology (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Economic and Financial Impacts of Cancer (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Diabetes Management and Education (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (65 citations), Cardiology and Cardiovascular Medicine (78 citations), Neurology (35 citations), Surgery (95 citations) and Nephrology (13 citations). Luanluan Sun has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Rory Collins, Iona Y. Millwood, Canqing Yu, Richard Peto, Michael Hill, Derrick Bennett, Yiping Chen, Junshi Chen, Zhengming Chen and Robin Walters. Their work appears in journals such as Genes, Nature Medicine, International Journal of Epidemiology, PLoS Genetics 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.