Qing Dan
Impact in
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
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- Nanoparticle-Based Drug Delivery
Papers in ⓘ
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- Nanoplatforms for cancer theranostics 10
- Photoacoustic and Ultrasonic Imaging 3
- Ultrasound and Hyperthermia Applications 3
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- Cardiac Imaging and Diagnostics 3
- Co-authors
- Yingjia Li (9 shared papers)Wanxian Luo (4 shared papers)Shiyu Zhang (4 shared papers)Li Zhang (3 shared papers)Chao Peng (4 shared papers)Siwen Chen (3 shared papers)Bingxia Zhao (3 shared papers)Liang Yu (3 shared papers)
- Journals
- Biomaterials Science (3 papers)Advanced Science (2 papers)Acta Pharmaceutica Sinica B (1 paper)Aging (1 paper)Food Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qing Dan
23 papers receiving 488 citations
Peers
Comparison fields: 5 of 89
- Biomedical Engineering 265
- Biomaterials 66
- Materials Chemistry 177
- Pollution 39
- Industrial and Manufacturing Engineering 25
Countries citing papers authored by Qing Dan
This map shows the geographic impact of Qing Dan'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 Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Dan more than expected).
Fields of papers citing papers by Qing Dan
This network shows the impact of papers produced by Qing Dan. 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 Dan. The network helps show where Qing Dan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Dan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 83 | |
| 2 | 2022 | 76 | |
| 3 | 2019 | 74 | |
| 4 | 2023 | 46 | |
| 5 | 2022 | 41 | |
| 6 | 2022 | 39 | |
| 7 | 2019 | 29 | |
| 8 | 2021 | 24 | |
| 9 | 2023 | 18 | |
| 10 | 2023 | 15 | |
| 11 | 2024 | 12 | |
| 12 | 2023 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | [Effect of allitridum on remodeling of the transient outward potassium current of ventricular myocytes of spontaneously hypertensive rats]. | 2015 | 3 |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 1 |
About Qing Dan
Qing Dan is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pollution and Biochemistry, having authored 24 papers that have together received 498 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (10 papers), Advanced Nanomaterials in Catalysis (4 papers), AI in cancer detection (3 papers), Ferroptosis and cancer prognosis (3 papers), Cardiac Imaging and Diagnostics (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Ultrasound and Hyperthermia Applications (3 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Biomedical Engineering (265 citations), Biomaterials (66 citations), Materials Chemistry (177 citations), Pollution (39 citations) and Industrial and Manufacturing Engineering (25 citations). Qing Dan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yingjia Li, Wanxian Luo, Shiyu Zhang, Li Zhang, Chao Peng, Siwen Chen, Bingxia Zhao, Liang Yu, Zonghai Sheng and Dehong Hu. Their work appears in journals such as Biomaterials Science, Advanced Science, Acta Pharmaceutica Sinica B, Aging and Food Chemistry.
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.