Chengxiang Dai
- Molecular Biology
- Genetics top 2%
- Rheumatology top 2%
- Urology top 1%
- Cancer Research top 10%
- Topics
- Extracellular vesicles in disease (8 papers)Mesenchymal stem cell research (8 papers)Osteoarthritis Treatment and Mechanisms (7 papers)
- Cited by
- UrologyGeneticsRheumatology
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Chengxiang Dai
22 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 574
- Genetics 449
- Rheumatology 425
- Urology 272
- Cancer Research 251
Countries citing papers authored by Chengxiang Dai
This map shows the geographic impact of Chengxiang Dai'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 Chengxiang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengxiang Dai more than expected).
Fields of papers citing papers by Chengxiang Dai
This network shows the impact of papers produced by Chengxiang Dai. 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 Chengxiang Dai. The network helps show where Chengxiang Dai may publish in the future.
Co-authorship network of co-authors of Chengxiang Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Chengxiang Dai. A scholar is included among the top collaborators of Chengxiang Dai 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 Chengxiang Dai. Chengxiang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 33 | |
| 5 | 26 | |
| 6 | Clinical safety and efficacy of allogenic human adipose mesenchymal stromal cells-derived exosomes in patients with mild to moderate Alzheimer’s disease: a phase I/II clinical trialbreakdown → | 89 |
| 7 | 49 | |
| 8 | 13 | |
| 9 | Nebulized exosomes derived from allogenic adipose tissue mesenchymal stromal cells in patients with severe COVID-19: a pilot studybreakdown → | 131 |
| 10 | 10 | |
| 11 | 81 | |
| 12 | 153 | |
| 13 | 3 | |
| 14 | 121 | |
| 15 | 34 | |
| 16 | Treatment of knee osteoarthritis with intra-articular injection of autologous adipose-derived mesenchymal progenitor cells: a prospective, randomized, double-blind, active-controlled, phase IIb clinical trialbreakdown → | 184 |
| 17 | 51 | |
| 18 | 190 | |
| 19 | 2 | |
| 20 | 43 |
About Chengxiang Dai
Chengxiang Dai is a scholar working on Urology, Genetics and Rheumatology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Mesenchymal stem cell research (8 papers) and Osteoarthritis Treatment and Mechanisms (7 papers). The work is most often cited by research in Urology (272 citations), Genetics (449 citations) and Rheumatology (425 citations). Chengxiang Dai has collaborated with scholars based in China, United States and France. Frequent co-authors include Suke Li, Liangjing Lu, Yang Song, Hui Du, Li Zhang, David J. Hunter, Li Zhang, Xiaoling Gao, Jieming Qu and Mengmeng Shi. Their work appears in journals such as Advanced Materials, Journal of Clinical Oncology and ACS Nano.
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.