Mingjun Xuan
Impact in
- Condensed Matter Physics top 1%
- Micro and Nano Robotics
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
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- Molecular Communication and Nanonetworks 10
- Nanoplatforms for cancer theranostics 10
- Characterization and Applications of Magnetic Nanoparticles 6
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- Micro and Nano Robotics 21
- Co-authors
- Jingxin Shao (19 shared papers)Qiang He (28 shared papers)Luru Dai (15 shared papers)Junbai Li (13 shared papers)Zhiguang Wu (5 shared papers)Xiankun Lin (10 shared papers)Tieyan Si (7 shared papers)Changyong Gao (4 shared papers)
In The Last Decade
Mingjun Xuan
43 papers receiving 2.9k citations
Mingjun Xuan's Hit Papers
Peers
Comparison fields: 5 of 103
- Condensed Matter Physics 1.4k
- Biomaterials 660
- Biomedical Engineering 1.9k
- Surfaces, Coatings and Films 160
- Materials Chemistry 598
Countries citing papers authored by Mingjun Xuan
This map shows the geographic impact of Mingjun Xuan'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 Mingjun Xuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Xuan more than expected).
Fields of papers citing papers by Mingjun Xuan
This network shows the impact of papers produced by Mingjun Xuan. 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 Mingjun Xuan. The network helps show where Mingjun Xuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun Xuan, 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 | Near Infrared Light-Powered Janus Mesoporous Silica Nanoparticle Motors Hit paper breakdown → | 2016 | 438 |
| 2 | 2016 | 341 | |
| 3 | 2018 | 281 | |
| 4 | 2015 | 229 | |
| 5 | 2018 | 228 | |
| 6 | 2017 | 204 | |
| 7 | 2014 | 172 | |
| 8 | 2019 | 154 | |
| 9 | 2015 | 122 | |
| 10 | 2018 | 108 | |
| 11 | 2021 | 61 | |
| 12 | 2015 | 57 | |
| 13 | 2016 | 56 | |
| 14 | 2015 | 52 | |
| 15 | 2017 | 49 | |
| 16 | 2020 | 43 | |
| 17 | 2014 | 35 | |
| 18 | 2018 | 33 | |
| 19 | 2021 | 33 | |
| 20 | 2017 | 23 |
About Mingjun Xuan
Mingjun Xuan is a scholar working on Biomedical Engineering, Condensed Matter Physics, Biomaterials, Molecular Biology and Materials Chemistry, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Micro and Nano Robotics (21 papers), Nanoparticle-Based Drug Delivery (12 papers), Molecular Communication and Nanonetworks (10 papers), Nanoplatforms for cancer theranostics (10 papers), Characterization and Applications of Magnetic Nanoparticles (6 papers), Polymer Surface Interaction Studies (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Condensed Matter Physics (1.4k citations), Biomaterials (660 citations), Biomedical Engineering (1.9k citations), Surfaces, Coatings and Films (160 citations) and Materials Chemistry (598 citations). Mingjun Xuan has collaborated with scholars based in China, Germany and Spain. Frequent co-authors include Jingxin Shao, Qiang He, Luru Dai, Junbai Li, Zhiguang Wu, Xiankun Lin, Tieyan Si, Changyong Gao, Jie Zhao and Qi Li. Their work appears in journals such as Angewandte Chemie International Edition, Advanced Materials, Journal of the American Chemical Society, National Science Review and ChemPhysChem.
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.