Bin Cui
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 10
- Tissue Engineering and Regenerative Medicine 5
- Co-authors
- Zhongchao Han (3 shared papers)Kai Wu (3 shared papers)Bin Zhou (2 shared papers)Guang Ning (5 shared papers)Yulian Jiao (1 shared paper)Yueran Zhao (1 shared paper)Wenping Sun (1 shared paper)Xuejun Gao (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (3 papers)International Immunopharmacology (3 papers)Frontiers in Immunology (2 papers)Translational Pediatrics (2 papers)The Neurologist (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Cui
55 papers receiving 624 citations
Peers
Comparison fields: 5 of 93
- Genetics 85
- Biomaterials 92
- Orthopedics and Sports Medicine 50
- Immunology 102
- Oncology 114
Countries citing papers authored by Bin Cui
This map shows the geographic impact of Bin Cui'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 Bin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Cui more than expected).
Fields of papers citing papers by Bin Cui
This network shows the impact of papers produced by Bin Cui. 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 Bin Cui. The network helps show where Bin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Cui, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 59 | |
| 2 | 2010 | 57 | |
| 3 | 2013 | 51 | |
| 4 | 2007 | 38 | |
| 5 | 2020 | 32 | |
| 6 | 2011 | 29 | |
| 7 | 2006 | 22 | |
| 8 | 2007 | 20 | |
| 9 | 2012 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2017 | 17 | |
| 12 | 2011 | 16 | |
| 13 | 2013 | 16 | |
| 14 | 2011 | 16 | |
| 15 | 2003 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2021 | 11 |
About Bin Cui
Bin Cui is a scholar working on Molecular Biology, Surgery, Immunology, Artificial Intelligence and Oncology, having authored 68 papers that have together received 636 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (5 papers), Immune Cell Function and Interaction (5 papers), Mesenchymal stem cell research (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Advanced Graph Neural Networks (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Advanced Database Systems and Queries (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Genetics (85 citations), Biomaterials (92 citations), Orthopedics and Sports Medicine (50 citations), Immunology (102 citations) and Oncology (114 citations). Bin Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhongchao Han, Kai Wu, Bin Zhou, Guang Ning, Yulian Jiao, Yueran Zhao, Wenping Sun, Xuejun Gao, Guo‐Qiang Chen and Shi Hong Lu. Their work appears in journals such as Proceedings of the VLDB Endowment, International Immunopharmacology, Frontiers in Immunology, Translational Pediatrics and The Neurologist.
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.