Ming Cui
Impact in
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- Chemotherapy-induced cardiotoxicity and mitigation
- Cardiovascular Function and Risk Factors
- Atrial Fibrillation Management and Outcomes
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- Pain Management and Treatment
Papers in
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- Cardiac electrophysiology and arrhythmias 3
- Cardiovascular Disease and Adiposity 2
- Antiplatelet Therapy and Cardiovascular Diseases 2
- Acute Myocardial Infarction Research 2
- Cardiovascular Function and Risk Factors 2
- Viral Infections and Immunology Research 2
- Cardiac Fibrosis and Remodeling 2
- Co-authors
- Wei Gao (6 shared papers)Haiyi Yu (3 shared papers)Feng Lan (6 shared papers)Wei Zhao (2 shared papers)Lei Li (2 shared papers)Rui Bai (2 shared papers)Wenjing Lü (4 shared papers)Dongguo Li (1 shared paper)
In The Last Decade
Ming Cui
27 papers receiving 255 citations
Peers
Comparison fields: 5 of 58
- Cardiology and Cardiovascular Medicine 101
- Anesthesiology and Pain Medicine 22
- Immunology 24
- Rheumatology 16
- Cancer Research 14
Countries citing papers authored by Ming Cui
This map shows the geographic impact of Ming Cui'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 Ming Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Cui more than expected).
Fields of papers citing papers by Ming Cui
This network shows the impact of papers produced by Ming Cui. 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 Ming Cui. The network helps show where Ming Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 40 | |
| 2 | 2020 | 38 | |
| 3 | 2020 | 24 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 16 | |
| 6 | 2015 | 14 | |
| 7 | 2025 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2014 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2016 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 4 | |
| 20 | [Association between fractional flow reserve and quantitative coronary angiography parameters in intermediate coronary artery stenosis]. | 2012 | 3 |
About Ming Cui
Ming Cui is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Epidemiology and Rheumatology, having authored 29 papers that have together received 260 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiovascular Disease and Adiposity (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Acute Myocardial Infarction Research (2 papers), Cardiovascular Function and Risk Factors (2 papers), Viral Infections and Immunology Research (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (101 citations), Anesthesiology and Pain Medicine (22 citations), Immunology (24 citations), Rheumatology (16 citations) and Cancer Research (14 citations). Ming Cui has collaborated with scholars based in China and Romania. Frequent co-authors include Wei Gao, Haiyi Yu, Feng Lan, Wei Zhao, Lei Li, Rui Bai, Wenjing Lü, Dongguo Li, Fujian Wu and Xi Chen. Their work appears in journals such as Stem Cell Research & Therapy, Biomarkers, Journal of Cellular and Molecular Medicine, Cell Death Discovery and Frontiers in Cardiovascular 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.