Qing Luo

23 papers receiving 1.4k citations

Qing Luo's Hit Papers

Mesenchymal Stem Cell Migration and Tissue Repair 2019 · 806 citations
8060+2+4Years since publication250500750

Peers

Qing Luo
Comparison fields: 5 of 106
  • Genetics 392
  • Urology 77
  • Orthopedics and Sports Medicine 104
  • Cancer Research 166
  • Biomaterials 108
Replace Leslie Chang with:
Leslie Chang United States
Christopher R. Paradise United States
Sandra Muntión Spain
Fengjuan Lv Hong Kong
Karthik Nathan United States
Simone Pacini Italy
Soura Mardpour Iran
Alain Langonné France
Kathryn Moncivais United States
Qing Luo relative to Leslie Chang United States Leslie Chang's profile →
Citations per field
00.5×1.6×
Leslie Chang · 1×
Citations per year

Countries citing papers authored by Qing Luo

Since Specialization
Citations

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

Fields of papers citing papers by Qing Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mesenchymal Stem Cell Migration and Tissue Repair
Hit paper breakdown →
2019806
2 2011102
3 2012102
4 200593
5 201176
6 200970
7 202058
8 200531
9 201027
10 202223
11 20248
12
Role of FAK-ERK1/2 Signaling Pathway in Proliferation of Rat Bone-marrow Mesenchymal Stem Cells Stimulated by Cyclic Stretching
20136
13 20095
14
Molecular basis of differentiation therapy for soft tissue sarcomas.
20105
15 20255
16 20104
17 20234
18 20143
19 20233
20
[Hematopoiesis support of mesenchymal stem cells in children with aplastic anemia].
20082

About Qing Luo

Qing Luo is a scholar working on Genetics, Rehabilitation, Otorhinolaryngology, Hepatology and Pathology and Forensic Medicine, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Wound Healing and Treatments (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Pluripotent Stem Cells Research (2 papers), Head and Neck Cancer Studies (2 papers), TGF-β signaling in diseases (2 papers), Liver physiology and pathology (2 papers) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Genetics (392 citations), Urology (77 citations), Orthopedics and Sports Medicine (104 citations), Cancer Research (166 citations) and Biomaterials (108 citations). Qing Luo has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Guanbin Song, Alexander Halim, Yang Ju, Ge Liu, Xiaorong Fu, Baiyao Xu, Yisong Shi, Jian Qin, Yuanhui Song and Quan Kang. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, PLoS ONE, Genes & Diseases, Current Gene Therapy and Stem Cell Reviews and 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.

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