Qingxiang Song
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery 18
- Pharmaceutical Science top 0.5%
- Biomedical Engineering top 1%
- Nanoplatforms for cancer theranostics 16
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 21
- Extracellular vesicles in disease 8
- Lipid Membrane Structure and Behavior 6
- Advanced biosensing and bioanalysis techniques 5
- Immunology top 5%
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- Alzheimer's disease research and treatments 8
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- Neuroinflammation and Neurodegeneration Mechanisms 7
- Co-authors
- Xiaoling GaoHongzhuan ChenQuanyin HuJun ChenTing KangXinguo JiangGuangzhi GuZhongyang Liu
- Partner nations
- ChinaSouth KoreaCanada
In The Last Decade
Qingxiang Song
65 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Biomaterials 1.8k
- Pharmaceutical Science 412
- Biomedical Engineering 1.7k
- Molecular Biology 2.2k
- Immunology 610
Countries citing papers authored by Qingxiang Song
This map shows the geographic impact of Qingxiang Song'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 Qingxiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingxiang Song more than expected).
Fields of papers citing papers by Qingxiang Song
This network shows the impact of papers produced by Qingxiang Song. 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 Qingxiang Song. The network helps show where Qingxiang Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingxiang Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 37 | |
| 3 | Intranasal drug delivery: The interaction between nanoparticles and the nose-to-brain pathwaybreakdown → | 2024 | 82 |
| 4 | 2024 | 6 | |
| 5 | 2023 | 49 | |
| 6 | 2023 | 46 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 24 | |
| 9 | 2020 | 116 | |
| 10 | 2020 | 62 | |
| 11 | 2020 | 48 | |
| 12 | 2020 | 32 | |
| 13 | 2019 | 78 | |
| 14 | 2018 | 19 | |
| 15 | 2016 | 74 | |
| 16 | 2014 | 38 | |
| 17 | 2013 | 148 | |
| 18 | 2012 | 37 | |
| 19 | 2012 | 65 | |
| 20 | 2011 | 122 |
About Qingxiang Song
Qingxiang Song is a scholar working on Biomaterials, Neurology, Developmental Neuroscience, Pharmaceutical Science and Molecular Biology, having authored 67 papers that have together received 4.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (21 papers), Nanoparticle-Based Drug Delivery (18 papers), Nanoplatforms for cancer theranostics (16 papers), Extracellular vesicles in disease (8 papers), Alzheimer's disease research and treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Lipid Membrane Structure and Behavior (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Biomaterials (1.8k citations), Pharmaceutical Science (412 citations), Biomedical Engineering (1.7k citations), Molecular Biology (2.2k citations) and Immunology (610 citations). Qingxiang Song has collaborated with scholars based in China, South Korea and Canada. Frequent co-authors include Xiaoling Gao, Hongzhuan Chen, Quanyin Hu, Jun Chen, Ting Kang, Xinguo Jiang, Guangzhi Gu, Zhongyang Liu, Xiao Gu and Gan Jiang. Their work appears in journals such as Biomaterials, ACS Nano, Advanced Science, Journal of Controlled Release and Advanced Materials.
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.