Dan Sun
Impact in
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- Nanoplatforms for cancer theranostics
- Microfluidic and Capillary Electrophoresis Applications
Papers in
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- Microfluidic and Capillary Electrophoresis Applications 8
- Microfluidic and Bio-sensing Technologies 7
- Nanopore and Nanochannel Transport Studies 6
- 3D Printing in Biomedical Research 5
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- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 4
- Co-authors
- Zhiyu Zhang (1 shared paper)Hao Suo (1 shared paper)Fan Li (1 shared paper)Chongfeng Guo (1 shared paper)Xiaoqi Zhao (1 shared paper)Sujuan Zhang (4 shared papers)Ce Zhang (16 shared papers)Wei Zhao (14 shared papers)
- Journals
- Optik (3 papers)Analytical Methods (2 papers)International Journal of Molecular Sciences (2 papers)Biosensors (2 papers)Langmuir (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Dan Sun
42 papers receiving 301 citations
Peers
Comparison fields: 5 of 82
- Acoustics and Ultrasonics 3
- Biomedical Engineering 101
- Biomaterials 24
- Materials Chemistry 82
- Polymers and Plastics 22
Countries citing papers authored by Dan Sun
This map shows the geographic impact of Dan Sun'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 Dan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Sun more than expected).
Fields of papers citing papers by Dan Sun
This network shows the impact of papers produced by Dan Sun. 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 Dan Sun. The network helps show where Dan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Sun, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2023 | 43 | |
| 3 | 2009 | 20 | |
| 4 | 2011 | 17 | |
| 5 | 2017 | 14 | |
| 6 | 2012 | 12 | |
| 7 | 2017 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2014 | 9 | |
| 10 | 2025 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Dan Sun
Dan Sun is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Pulmonary and Respiratory Medicine and Cell Biology, having authored 45 papers that have together received 307 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (8 papers), Microfluidic and Bio-sensing Technologies (7 papers), Photodynamic Therapy Research Studies (6 papers), Nanopore and Nanochannel Transport Studies (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), 3D Printing in Biomedical Research (5 papers), RNA Interference and Gene Delivery (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (3 citations), Biomedical Engineering (101 citations), Biomaterials (24 citations), Materials Chemistry (82 citations) and Polymers and Plastics (22 citations). Dan Sun has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhiyu Zhang, Hao Suo, Fan Li, Chongfeng Guo, Xiaoqi Zhao, Sujuan Zhang, Ce Zhang, Wei Zhao, Lanying Wang and Kaige Wang. Their work appears in journals such as Optik, Analytical Methods, International Journal of Molecular Sciences, Biosensors and Langmuir.
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.