Li‐Da Wu
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- Cardiovascular Disease and Adiposity 4
- Atrial Fibrillation Management and Outcomes 4
- Cardiac electrophysiology and arrhythmias 4
- Cardiac Arrhythmias and Treatments 4
- Cardiovascular Function and Risk Factors 3
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- Nutritional Studies and Diet 5
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- GDF15 and Related Biomarkers 2
- Journals
- Scientific Reports (3 papers)Journal of Clinical Medicine (3 papers)Frontiers in Cardiovascular Medicine (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Li‐Da Wu
38 papers receiving 791 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cardiology and Cardiovascular Medicine 236
- Biological Psychiatry 16
- Epidemiology 179
- Oncology 139
- Nephrology 32
Countries citing papers authored by Li‐Da Wu
This map shows the geographic impact of Li‐Da Wu'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 Li‐Da Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Da Wu more than expected).
Fields of papers citing papers by Li‐Da Wu
This network shows the impact of papers produced by Li‐Da Wu. 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 Li‐Da Wu. The network helps show where Li‐Da Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li‐Da Wu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999–2018breakdown → | 2024 | 58 |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 6 | |
| 17 | Systemic Immune Inflammation Index (SII), System Inflammation Response Index (SIRI) and Risk of All-Cause Mortality and Cardiovascular Mortality: A 20-Year Follow-Up Cohort Study of 42,875 US Adultsbreakdown → | 2023 | 274 |
| 18 | 2022 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2021 | 22 |
About Li‐Da Wu
Li‐Da Wu is a scholar working on Cardiology and Cardiovascular Medicine, Process Chemistry and Technology, Behavioral Neuroscience, Developmental Neuroscience and Otorhinolaryngology, having authored 46 papers that have together received 800 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Cardiovascular Disease and Adiposity (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiac Arrhythmias and Treatments (4 papers), Cardiovascular Function and Risk Factors (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and GDF15 and Related Biomarkers (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (236 citations), Biological Psychiatry (16 citations), Epidemiology (179 citations), Oncology (139 citations) and Nephrology (32 citations). Li‐Da Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junxia Zhang, Yiyuan Xia, Chunlei Xia, Zheng Li, Hui Li, Ruxing Wang, Shao‐Liang Chen, Nan Zhou, Lingling Qian and Yi Shi. Their work appears in journals such as Scientific Reports, Journal of Clinical Medicine, Frontiers in Cardiovascular Medicine, Journal of Cardiovascular Electrophysiology and BMC Public Health.
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.