Zhenyu Liu
- Infectious Diseases top 10%
- Molecular Biology
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Julen S. PedernalesJing-Ning ZhangLucas LamataE. SolanoShuoming AnDingshun LvKihwan KimYunxiang Yang
- Topics
- Acute Myocardial Infarction Research (4 papers)Mitochondrial Function and Pathology (3 papers)Cardiovascular Function and Risk Factors (3 papers)
- Journals
- CellCirculationNature Communications
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Zhenyu Liu
27 papers receiving 491 citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 153
- Molecular Biology 117
- Atomic and Molecular Physics, and Optics 113
- Artificial Intelligence 109
- Cardiology and Cardiovascular Medicine 74
Countries citing papers authored by Zhenyu Liu
This map shows the geographic impact of Zhenyu Liu'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 Zhenyu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyu Liu more than expected).
Fields of papers citing papers by Zhenyu Liu
This network shows the impact of papers produced by Zhenyu Liu. 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 Zhenyu Liu. The network helps show where Zhenyu Liu may publish in the future.
Co-authorship network of co-authors of Zhenyu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Liu. A scholar is included among the top collaborators of Zhenyu Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenyu Liu. Zhenyu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 14 | |
| 15 | 202 | |
| 16 | 3 | |
| 17 | 28 | |
| 18 | Abstract 12215: Platelet Inhibition of Ticagrelor versus Clopidogrel in Diabetic Patients After Elective Percutaneous Coronary Intervention for Stable Coronary Artery Disease | 1 |
| 19 | [Activated clotting time post therapeutic anticoagulation with unfractionated heparin in patients undergoing elective percutaneous coronary intervention]. | 1 |
| 20 | 21 |
About Zhenyu Liu
Zhenyu Liu is a scholar working on Cardiology and Cardiovascular Medicine, Software and Internal Medicine, having authored 31 papers that have together received 501 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (4 papers), Mitochondrial Function and Pathology (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Infectious Diseases (153 citations), Atomic and Molecular Physics, and Optics (113 citations) and Artificial Intelligence (109 citations). Zhenyu Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Julen S. Pedernales, Jing-Ning Zhang, Lucas Lamata, E. Solano, Shuoming An, Dingshun Lv, Kihwan Kim, Yunxiang Yang, Shan Gao and Yu Chen. Their work appears in journals such as Cell, Circulation and Nature Communications.
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.