Shuling Bai
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
Papers in
- Surgery 12
- Infectious Aortic and Vascular Conditions 5
- Tissue Engineering and Regenerative Medicine 5
- Co-authors
- Jun Fan (20 shared papers)Weijian Hou (13 shared papers)Xiaohong Tian (16 shared papers)Qiang Ao (8 shared papers)Hao Tong (13 shared papers)Xiaohong Wang (1 shared paper)Xiang Li (4 shared papers)He Xu (3 shared papers)
- Journals
- PLoS ONE (2 papers)Journal of Biomedical Materials Research Part B Applied Biomaterials (1 paper)Polymers (1 paper)Acta Pharmacologica Sinica (1 paper)Regenerative Biomaterials (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Shuling Bai
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Biomaterials 211
- Automotive Engineering 192
- Molecular Medicine 67
- Biomedical Engineering 436
- Surgery 263
Countries citing papers authored by Shuling Bai
This map shows the geographic impact of Shuling Bai'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 Shuling Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuling Bai more than expected).
Fields of papers citing papers by Shuling Bai
This network shows the impact of papers produced by Shuling Bai. 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 Shuling Bai. The network helps show where Shuling Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuling Bai, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 257 | |
| 2 | 2016 | 139 | |
| 3 | 2013 | 113 | |
| 4 | 2018 | 93 | |
| 5 | 1990 | 67 | |
| 6 | 2020 | 49 | |
| 7 | 2018 | 48 | |
| 8 | 2012 | 42 | |
| 9 | 2016 | 37 | |
| 10 | 2013 | 33 | |
| 11 | 2017 | 31 | |
| 12 | 2010 | 28 | |
| 13 | 2014 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 2013 | 24 | |
| 16 | 2014 | 23 | |
| 17 | 2021 | 20 | |
| 18 | 2010 | 20 | |
| 19 | 2014 | 18 | |
| 20 | 2022 | 15 |
About Shuling Bai
Shuling Bai is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Cancer Research, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (6 papers), Aortic Disease and Treatment Approaches (5 papers), Infectious Aortic and Vascular Conditions (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Bone Tissue Engineering Materials (5 papers), MicroRNA in disease regulation (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Biomaterials (211 citations), Automotive Engineering (192 citations), Molecular Medicine (67 citations), Biomedical Engineering (436 citations) and Surgery (263 citations). Shuling Bai has collaborated with scholars based in China, United States and India. Frequent co-authors include Jun Fan, Weijian Hou, Xiaohong Tian, Qiang Ao, Hao Tong, Xiaohong Wang, Xiang Li, He Xu, Xiaohong Wang and Xiaohong Wang. Their work appears in journals such as PLoS ONE, Journal of Biomedical Materials Research Part B Applied Biomaterials, Polymers, Acta Pharmacologica Sinica and Regenerative Biomaterials.
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.