Bin Cui
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 9
- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Ying Long Liu (3 shared papers)Zhongchao Han (3 shared papers)Kai Wu (3 shared papers)Bin Zhou (2 shared papers)Guang Ning (5 shared papers)Xuejun Gao (1 shared paper)Yueran Zhao (1 shared paper)Wenping Sun (1 shared paper)
- Journals
- International Immunopharmacology (3 papers)Proceedings of the VLDB Endowment (3 papers)Translational Pediatrics (2 papers)Frontiers in Immunology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Cui
62 papers receiving 653 citations
Peers
Comparison fields: 5 of 87
- Genetics 82
- Biomaterials 86
- Orthopedics and Sports Medicine 40
- Immunology 89
- Periodontics 18
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 | 52 | |
| 4 | 2007 | 39 | |
| 5 | 2020 | 32 | |
| 6 | 2011 | 29 | |
| 7 | 2006 | 22 | |
| 8 | 2007 | 20 | |
| 9 | 2012 | 18 | |
| 10 | 2017 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2021 | 17 | |
| 13 | 2011 | 16 | |
| 14 | 2011 | 16 | |
| 15 | 2013 | 16 | |
| 16 | 2003 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2021 | 12 |
About Bin Cui
Bin Cui is a scholar working on Surgery, Molecular Biology, Immunology, Computer Networks and Communications and Artificial Intelligence, having authored 68 papers that have together received 666 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Mesenchymal stem cell research (4 papers), Advanced Database Systems and Queries (4 papers), Advanced Graph Neural Networks (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), T-cell and B-cell Immunology (3 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Genetics (82 citations), Biomaterials (86 citations), Orthopedics and Sports Medicine (40 citations), Immunology (89 citations) and Periodontics (18 citations). Bin Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ying Long Liu, Zhongchao Han, Kai Wu, Bin Zhou, Guang Ning, Xuejun Gao, Yueran Zhao, Wenping Sun, Yulian Jiao and Li‐Ying Sun. Their work appears in journals such as International Immunopharmacology, Proceedings of the VLDB Endowment, Translational Pediatrics, Frontiers in Immunology and Scientific Reports.
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.