Mingda Zhao
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
- Supramolecular Self-Assembly in Materials
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
- Biomaterials 13
- Electrospun Nanofibers in Biomedical Applications 7
- Nanoparticle-Based Drug Delivery 3
- Supramolecular Self-Assembly in Materials 2
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- Nanoplatforms for cancer theranostics 7
- 3D Printing in Biomedical Research 5
- Co-authors
- Yong Sun (23 shared papers)Yujiang Fan (21 shared papers)Xingdong Zhang (16 shared papers)Jie Liang (15 shared papers)Qing Jiang (3 shared papers)Xing Li (3 shared papers)Yafang Chen (3 shared papers)Kefeng Wang (2 shared papers)
In The Last Decade
Mingda Zhao
30 papers receiving 330 citations
Peers
Comparison fields: 5 of 76
- Biomaterials 159
- Molecular Medicine 36
- Rehabilitation 23
- Biomedical Engineering 133
- Microbiology 10
Countries citing papers authored by Mingda Zhao
This map shows the geographic impact of Mingda Zhao'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 Mingda Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingda Zhao more than expected).
Fields of papers citing papers by Mingda Zhao
This network shows the impact of papers produced by Mingda Zhao. 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 Mingda Zhao. The network helps show where Mingda Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingda Zhao, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 51 | |
| 2 | 2021 | 33 | |
| 3 | 2020 | 29 | |
| 4 | 2021 | 21 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2020 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Mingda Zhao
Mingda Zhao is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Oncology and Cancer Research, having authored 31 papers that have together received 330 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), 3D Printing in Biomedical Research (5 papers), MicroRNA in disease regulation (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Wound Healing and Treatments (3 papers), Supramolecular Self-Assembly in Materials (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Biomaterials (159 citations), Molecular Medicine (36 citations), Rehabilitation (23 citations), Biomedical Engineering (133 citations) and Microbiology (10 citations). Mingda Zhao has collaborated with scholars based in China, Japan and Mexico. Frequent co-authors include Yong Sun, Yujiang Fan, Xingdong Zhang, Jie Liang, Qing Jiang, Xing Li, Yafang Chen, Kefeng Wang, Shaoquan Bian and Ruiling Xu. Their work appears in journals such as ACS Applied Materials & Interfaces, Acta Biomaterialia, International Journal of Molecular Sciences, ACS Nano and Nanoscale.
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.