Bin Cui

1.1k citations
68 papers · 699 · h-index 16

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • biodegradable polymer synthesis and properties

Papers in

Bin Cui

62 papers receiving 683 citations

Peers

Bin Cui
Comparison fields: 5 of 90
  • Genetics 93
  • Biomaterials 102
  • Orthopedics and Sports Medicine 41
  • Periodontics 19
  • Immunology 89
Replace Martijn Deckers with:
Martijn Deckers Belgium
Shu Sun Denmark
Hiromi Sakata Japan
Guangxiang Zang Sweden
Carlos Gonzalez‐Quesada United States
Peter van Lent Netherlands
Zenan Yuan China
Siddaraju V. Boregowda United States
Sohel M. Julovi Australia
Jinteng Li China
Bin Cui relative to Martijn Deckers Belgium Martijn Deckers's profile →
Citations per field
00.5×2×3×4×4.8×
Martijn Deckers · 1×
Citations per year

Countries citing papers authored by Bin Cui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bin Cui Line = papers co-authored together Bin Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200768
2 201058
3 201352
4 200746
5 202032
6 201129
7 200624
8 200723
9 201719
10 201218
11 202217
12 201117
13 202117
14 201116
15 201316
16 200315
17 202214
18 200613
19 202113
20 202212

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 699 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 (93 citations), Biomaterials (102 citations), Orthopedics and Sports Medicine (41 citations), Periodontics (19 citations) and Immunology (89 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, Shi Hong Lu, Guo‐Qiang Chen, Wenping Sun, Yulian Jiao and Yueran Zhao. Their work appears in journals such as International Immunopharmacology, Proceedings of the VLDB Endowment, Translational Pediatrics, Frontiers in Immunology and Signal Transduction and Targeted Therapy.

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.

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