Chenzi Yang
Impact in
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- Aortic Disease and Treatment Approaches
- Aortic aneurysm repair treatments
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- Cancer-related molecular mechanisms research
Papers in
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- Aortic Disease and Treatment Approaches 7
- Aortic aneurysm repair treatments 5
- Vascular Procedures and Complications 2
- Surgery 5
- Abdominal vascular conditions and treatments 2
- Co-authors
- Chang Shu (13 shared papers)Ming Li (8 shared papers)Quanming Li (10 shared papers)Alan Dardik (8 shared papers)Kun Fang (6 shared papers)Caroline C. Jadlowiec (4 shared papers)Tun Wang (7 shared papers)Michael J. Collins (3 shared papers)
- Journals
- Journal of Endovascular Therapy (4 papers)Expert Review of Cardiovascular Therapy (1 paper)Vascular (1 paper)Frontiers in Cardiovascular Medicine (1 paper)Theranostics (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chenzi Yang
22 papers receiving 544 citations
Peers
Comparison fields: 5 of 67
- Pulmonary and Respiratory Medicine 239
- Cancer Research 69
- Surgery 122
- Emergency Medical Services 16
- Molecular Biology 169
Countries citing papers authored by Chenzi Yang
This map shows the geographic impact of Chenzi Yang'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 Chenzi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenzi Yang more than expected).
Fields of papers citing papers by Chenzi Yang
This network shows the impact of papers produced by Chenzi Yang. 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 Chenzi Yang. The network helps show where Chenzi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenzi Yang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2012 | 76 | |
| 3 | 2017 | 63 | |
| 4 | 2012 | 58 | |
| 5 | 2020 | 42 | |
| 6 | 2020 | 30 | |
| 7 | 2013 | 28 | |
| 8 | 2023 | 20 | |
| 9 | 2012 | 18 | |
| 10 | 2012 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2013 | 15 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 4 | |
| 16 | EphB4 signaling maintains the contractile phenotype of adult venous smooth muscle cells. | 2020 | 3 |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 1984 | 2 | |
| 20 | 2023 | 1 |
About Chenzi Yang
Chenzi Yang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 550 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (7 papers), Aortic aneurysm repair treatments (5 papers), Vascular Procedures and Complications (2 papers), Abdominal vascular conditions and treatments (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (239 citations), Cancer Research (69 citations), Surgery (122 citations), Emergency Medical Services (16 citations) and Molecular Biology (169 citations). Chenzi Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chang Shu, Ming Li, Quanming Li, Alan Dardik, Kun Fang, Caroline C. Jadlowiec, Tun Wang, Michael J. Collins, Akihito Muto and Meixiao Zhan. Their work appears in journals such as Journal of Endovascular Therapy, Expert Review of Cardiovascular Therapy, Vascular, Frontiers in Cardiovascular Medicine and Theranostics.
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.