Chao Qi
Impact in
- Biomaterials top 0.2%
- Nanoparticle-Based Drug Delivery
- Calcium Carbonate Crystallization and Inhibition
- Electrospun Nanofibers in Biomedical Applications
- biodegradable polymer synthesis and properties
- Biomedical Engineering top 0.2%
- Nanoplatforms for cancer theranostics
- Bone Tissue Engineering Materials
- Graphene and Nanomaterials Applications
Papers in
- Biomaterials 44
- Nanoparticle-Based Drug Delivery 19
- Electrospun Nanofibers in Biomedical Applications 8
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- Chemical Synthesis and Characterization 19
Chao Qi
127 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Biomaterials 2.6k
- Biomedical Engineering 5.1k
- Materials Chemistry 2.8k
- Molecular Medicine 259
- Surfaces, Coatings and Films 283
Countries citing papers authored by Chao Qi
This map shows the geographic impact of Chao Qi'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 Chao Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Qi more than expected).
Fields of papers citing papers by Chao Qi
This network shows the impact of papers produced by Chao Qi. 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 Chao Qi. The network helps show where Chao Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao Qi, 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 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 41 | |
| 11 | 2022 | 78 | |
| 12 | Manganese‐Based Tumor Immunotherapy Hit paper breakdown → | 2022 | 203 |
| 13 | 2022 | 19 | |
| 14 | 2022 | 48 | |
| 15 | 2022 | 16 | |
| 16 | 2021 | 28 | |
| 17 | Glucose Oxidase‐Instructed Multimodal Synergistic Cancer Therapy Hit paper breakdown → | 2019 | 538 |
| 18 | 2019 | 15 | |
| 19 | 2018 | 36 | |
| 20 | 2014 | 3 |
About Chao Qi
Chao Qi is a scholar working on Biomaterials, Industrial and Manufacturing Engineering, Biomedical Engineering, Surfaces, Coatings and Films and Materials Chemistry, having authored 133 papers that have together received 7.4k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (56 papers), Nanoplatforms for cancer theranostics (31 papers), Chemical Synthesis and Characterization (19 papers), Nanoparticle-Based Drug Delivery (19 papers), Advanced Nanomaterials in Catalysis (14 papers), Graphene and Nanomaterials Applications (12 papers), Polymer Surface Interaction Studies (9 papers) and Electrospun Nanofibers in Biomedical Applications (8 papers). The work is most often cited by research in Biomaterials (2.6k citations), Biomedical Engineering (5.1k citations), Materials Chemistry (2.8k citations), Molecular Medicine (259 citations) and Surfaces, Coatings and Films (283 citations). Chao Qi has collaborated with scholars based in China, Canada and Thailand. Frequent co-authors include Lian‐Hua Fu, Peng Huang, Jing Lin, Ying‐Jie Zhu, Feng Chen, Jin Wu, Bing‐Qiang Lu, Yan‐Ru Hu, Jin He and Jing Zhao. Their work appears in journals such as Journal of Materials Chemistry B, RSC Advances, Advanced Functional Materials, Chemistry - An Asian Journal and Journal of Colloid and Interface Science.
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.