Zhi Min Cui

565 citations
11 papers · 444 indexed · h-index 4
Topics
Neuroscience and Neural Engineering (4 papers)Tissue Engineering and Regenerative Medicine (3 papers)Conducting polymers and applications (2 papers)
Partner nations
ChinaCanadaTürkiye

In The Last Decade

Zhi Min Cui

9 papers receiving 441 citations

Peers

Zhi Min Cui
Comparison fields: 5 of 60
  • Biomaterials 241
  • Biomedical Engineering 237
  • Surgery 227
  • Cellular and Molecular Neuroscience 81
  • Polymers and Plastics 74
Replace Bijoy Chandapillai Karikkineth with:
Bijoy Chandapillai Karikkineth Germany
Hadas Oved Israel
Seokwon Pok United States
Sarah Junaid United Kingdom
Qixiang Duan China
Niloofar Nazeri Iran
Caidan Zhang China
Kai-Yun Qu China
Mohammad Ali Derakhshan Iran
Ehsan Zangene Iran
Zhi Min Cui relative to Bijoy Chandapillai Karikkineth Germany Bijoy Chandapillai Karikkineth's profile →
Citations per field
00.5×5.7×
Bijoy Chandapillai Karikkineth · 1×
Citations per year

Countries citing papers authored by Zhi Min Cui

Since Specialization
Citations

This map shows the geographic impact of Zhi Min 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 Zhi Min Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Min Cui more than expected).

Fields of papers citing papers by Zhi Min Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi Min 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 Zhi Min Cui. The network helps show where Zhi Min Cui may publish in the future.

Co-authorship network of co-authors of Zhi Min Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Min Cui. A scholar is included among the top collaborators of Zhi Min Cui 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 Zhi Min Cui. Zhi Min Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 126
5 78
6 215
7 2
8 1
9 1
10 1
11
Construction and characterization of a H19 epitope point mutant of MDV CVI988/Rispens strain.
18

About Zhi Min Cui

Zhi Min Cui is a scholar working on Process Chemistry and Technology, Cellular and Molecular Neuroscience and Ceramics and Composites, having authored 11 papers that have together received 444 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Biomaterials (241 citations), Biomedical Engineering (237 citations) and Polymers and Plastics (74 citations). Zhi Min Cui has collaborated with scholars based in China, Canada and Türkiye. Frequent co-authors include Ren‐Ke Li, Jun Wu, Hsing‐Wen Sung, Richard D. Weisel, Baofeng Yang, Anton Mihic, Shuhong Li, Yasuo Miyagi, Terrence M. Yau and Sheng He. Their work appears in journals such as Circulation, Medicine and Theranostics.

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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