Chang Shu
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Ming LiMingyao LuoAlan DardikQuanming LiXin LiHao HeKun FangChenzi Yang
- Topics
- Aortic aneurysm repair treatments (95 papers)Aortic Disease and Treatment Approaches (85 papers)Infectious Aortic and Vascular Conditions (35 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chang Shu
232 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Pulmonary and Respiratory Medicine 1.2k
- Surgery 919
- Molecular Biology 605
- Cardiology and Cardiovascular Medicine 462
- Epidemiology 275
Countries citing papers authored by Chang Shu
This map shows the geographic impact of Chang Shu'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 Chang Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Shu more than expected).
Fields of papers citing papers by Chang Shu
This network shows the impact of papers produced by Chang Shu. 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 Chang Shu. The network helps show where Chang Shu may publish in the future.
Co-authorship network of co-authors of Chang Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Shu. A scholar is included among the top collaborators of Chang Shu 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 Chang Shu. Chang Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | Enlarged Lumen Volume of Proximal Aortic Segment and Acute Type B Aortic Dissection: A Computer Fluid Dynamics Study of Ideal Aortic Models | 3 |
| 14 | 2 | |
| 15 | 27 | |
| 16 | 15 | |
| 17 | 30 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | A Clinical Study of the Effect of Huperzine A to Improve the Ability of Verbal Recall, Retention and Repetition in Middle-aged and Elderly Patients with Dysmnesia | 2 |
About Chang Shu
Chang Shu is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 256 papers that have together received 3.1k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (95 papers), Aortic Disease and Treatment Approaches (85 papers) and Infectious Aortic and Vascular Conditions (35 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Surgery (919 citations) and Cardiology and Cardiovascular Medicine (462 citations). Chang Shu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming Li, Mingyao Luo, Alan Dardik, Quanming Li, Xin Li, Hao He, Kun Fang, Chenzi Yang, Tun Wang and Xuelan Zhang. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología 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.