Jun Cui

693 citations
22 papers · 575 · h-index 12

Impact in

Papers in

Jun Cui

22 papers receiving 560 citations

Peers

Jun Cui
Comparison fields: 5 of 88
  • Genetics 169
  • Ophthalmology 53
  • Urology 31
  • Cancer Research 62
  • Biomaterials 58
Replace Yonathan Garfias with:
Yonathan Garfias Mexico
Medi Eslani United States
Sean Tighe United States
Durvanei Augusto Maria Brazil
Huihui Liu China
Heather L. Chandler United States
María Teresa Rodríguez Ares Spain
Douglas A. Johnston United States
Carlos Eduardo Fonseca‐Alves Brazil
Canying Liu China
Jun Cui relative to Yonathan Garfias Mexico Yonathan Garfias's profile →
Citations per field
00.5×1.5×2.4×
Yonathan Garfias · 1×
Citations per year

Countries citing papers authored by Jun Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Cui Line = papers co-authored together Jun Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016166
2 200888
3 201572
4 201749
5 201246
6 201525
7 201723
8 201420
9 200818
10 201318
11 201214
12 202312
13 20119
14
[Study of labeling human periodontal ligament stem cells with enhanced green fluorescent protein by lentivirus vector infection].
20124
15 20203
16 20252
17 20071
18 20071
19 20071
20 20251

About Jun Cui

Jun Cui is a scholar working on Biomedical Engineering, Genetics, Immunology, Urology and Molecular Biology, having authored 22 papers that have together received 575 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (5 papers), Mesenchymal stem cell research (4 papers), Immune cells in cancer (3 papers), Periodontal Regeneration and Treatments (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Dental Implant Techniques and Outcomes (2 papers), Mycotoxins in Agriculture and Food (2 papers) and Coccidia and coccidiosis research (2 papers). The work is most often cited by research in Genetics (169 citations), Ophthalmology (53 citations), Urology (31 citations), Cancer Research (62 citations) and Biomaterials (58 citations). Jun Cui has collaborated with scholars based in China. Frequent co-authors include Zhiyong Zhao, Lingchen Yang, Yang Zhou, Xue Li, Ying Chi, Zhongchao Han, Wen Du, Shao Guang Yang, Zhi Bo Han and Zongjin Li. Their work appears in journals such as Archives of Oral Biology, Veterinary Ophthalmology, American Journal of Veterinary Research, International Immunopharmacology and Stem Cell Research & 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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