Jing Cui

3.3k citations
20 papers · 2.4k · 1 hit paper · h-index 11

Impact in

  • Genetics top 1%
    • Mesenchymal stem cell research
    • Osteoarthritis Treatment and Mechanisms

Papers in

Jing Cui

20 papers receiving 2.4k citations

Jing Cui's Hit Papers

Notch Signaling Augments BMP9-Induced Bone Formation by Promoting the Osteogenesis-Angiogenesis Coupling Process in Mesenchymal Stem Cells (MSCs) 2017 · 1.9k citations
1.9k0+3+6Years since publication5001k1.5k

Peers

Jing Cui
Comparison fields: 5 of 88
  • Genetics 797
  • Rheumatology 154
  • Rehabilitation 66
  • Biomedical Engineering 378
  • Molecular Biology 627
Replace Yu-Long Zou with:
Yu-Long Zou China
Xue Yu Hu China
Roberta Tasso Italy
Anja Seckinger Germany
Betty Linju Yen Taiwan
Ayelet Dar Israel
Benedetto Sacchetti Italy
Yunxiao Zhu China
Ankit Salhotra United States
Xiao‐Dong Chen United States
Jing Cui relative to Yu-Long Zou China Yu-Long Zou's profile →
Citations per field
00.5×1.5×
Yu-Long Zou · 1×
Citations per year

Countries citing papers authored by Jing Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Notch Signaling Augments BMP9-Induced Bone Formation by Promoting the Osteogenesis-Angiogenesis Coupling Process in Mesenchymal Stem Cells (MSCs)
Hit paper breakdown →
20171902
2 2012110
3 201471
4 201370
5 201553
6 201243
7 201341
8 201938
9 201225
10 202023
11 201221
12 20099
13 20228
14 20227
15 20195
16 20245
17 20203
18 20222
19 20252
20 20121

About Jing Cui

Jing Cui is a scholar working on Genetics, Cell Biology, Biomaterials, Cancer Research and Molecular Biology, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Nanoparticle-Based Drug Delivery (2 papers), bioluminescence and chemiluminescence research (2 papers), Chemokine receptors and signaling (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Protease and Inhibitor Mechanisms (1 paper), Bone Tumor Diagnosis and Treatments (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Genetics (797 citations), Rheumatology (154 citations), Rehabilitation (66 citations), Biomedical Engineering (378 citations) and Molecular Biology (627 citations). Jing Cui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hui Zhang, Hanjie Wang, Bingbo Zhang, Sheng Wang, Xiaodong Li, Xue Li, Weitao Yang, Lin Su, Yan Dou and Jin Keun Chang. Their work appears in journals such as 癌症:英文版, Journal of Cellular and Molecular Medicine, International Journal of Medical Sciences, European Journal of Pharmacology and Current Cancer Drug Targets.

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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