Long-Fei Wang
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Epidemiology
- Emergency Medicine
- Co-authors
- Wei‐Guo MaJun ZhengYongmin LiuJunming ZhuJohn A. ElefteriadesBulat A. ZiganshinLi‐Zhong SunQian Chang
- Topics
- Aortic Disease and Treatment Approaches (7 papers)Lung Cancer Diagnosis and Treatment (4 papers)Congenital Heart Disease Studies (3 papers)
- Journals
- Journal of the American College of CardiologyBiochemical PharmacologyJournal of Thoracic and Cardiovascular Surgery
- Partner nations
- ChinaUnited States
In The Last Decade
Long-Fei Wang
14 papers receiving 268 citations
Peers
Comparison fields: 5 of 33
- Pulmonary and Respiratory Medicine 246
- Cardiology and Cardiovascular Medicine 165
- Surgery 107
- Epidemiology 15
- Emergency Medicine 9
Countries citing papers authored by Long-Fei Wang
This map shows the geographic impact of Long-Fei Wang'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 Long-Fei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long-Fei Wang more than expected).
Fields of papers citing papers by Long-Fei Wang
This network shows the impact of papers produced by Long-Fei Wang. 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 Long-Fei Wang. The network helps show where Long-Fei Wang may publish in the future.
Co-authorship network of co-authors of Long-Fei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Long-Fei Wang. A scholar is included among the top collaborators of Long-Fei Wang 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 Long-Fei Wang. Long-Fei Wang 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 | 6 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 50 | |
| 12 | 24 | |
| 13 | A massive right-to-left shunt in volume-loaded donor heart | 0 |
| 14 | 0 | |
| 15 | 52 | |
| 16 | 43 | |
| 17 | 59 |
About Long-Fei Wang
Long-Fei Wang is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Developmental Neuroscience, having authored 17 papers that have together received 270 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (7 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (246 citations), Cardiology and Cardiovascular Medicine (165 citations) and Surgery (107 citations). Long-Fei Wang has collaborated with scholars based in China and United States. Frequent co-authors include Wei‐Guo Ma, Jun Zheng, Yongmin Liu, Junming Zhu, John A. Elefteriades, Bulat A. Ziganshin, Li‐Zhong Sun, Qian Chang, Sven Peterß and Lizhong Sun. Their work appears in journals such as Journal of the American College of Cardiology, Biochemical Pharmacology and Journal of Thoracic and Cardiovascular Surgery.
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.