Yingjie Wei
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Shengshou HuMacus Tien KuoHao ZhangPing LiNiramol SavarajChuan-Jue CuiIm‐Sook SongPeiman Liu
- Topics
- Tissue Engineering and Regenerative Medicine (13 papers)Mesenchymal stem cell research (12 papers)Pulmonary Hypertension Research and Treatments (10 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yingjie Wei
72 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 746
- Cardiology and Cardiovascular Medicine 433
- Surgery 360
- Oncology 349
- Pulmonary and Respiratory Medicine 319
Countries citing papers authored by Yingjie Wei
This map shows the geographic impact of Yingjie Wei'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 Yingjie Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjie Wei more than expected).
Fields of papers citing papers by Yingjie Wei
This network shows the impact of papers produced by Yingjie Wei. 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 Yingjie Wei. The network helps show where Yingjie Wei may publish in the future.
Co-authorship network of co-authors of Yingjie Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Yingjie Wei. A scholar is included among the top collaborators of Yingjie Wei 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 Yingjie Wei. Yingjie Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 34 | |
| 7 | 18 | |
| 8 | 48 | |
| 9 | 29 | |
| 10 | 9 | |
| 11 | 46 | |
| 12 | 24 | |
| 13 | Distribution of bone marrow MSCs injected through subglossal vein into myocardial infarction model rats | 1 |
| 14 | 28 | |
| 15 | 32 | |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 42 | |
| 19 | 25 | |
| 20 | Role of human copper transporter Ctr1 in the transport of platinum-based antitumor agents in cisplatin-sensitive and cisplatin-resistant cells | 6 |
About Yingjie Wei
Yingjie Wei is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Biomaterials, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (13 papers), Mesenchymal stem cell research (12 papers) and Pulmonary Hypertension Research and Treatments (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (433 citations), Complementary and alternative medicine (154 citations) and Genetics (189 citations). Yingjie Wei has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Shengshou Hu, Macus Tien Kuo, Hao Zhang, Ping Li, Niramol Savaraj, Chuan-Jue Cui, Im‐Sook Song, Peiman Liu, Chun Wu and Zahid H. Siddik. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.