Qing Gao
- Automotive Engineering top 0.2%
- Additive Manufacturing and 3D Printing Technologies 26
- Biomedical Engineering top 0.2%
- 3D Printing in Biomedical Research 42
- Innovative Microfluidic and Catalytic Techniques Innovation 17
- Advanced Sensor and Energy Harvesting Materials 9
- Bone Tissue Engineering Materials 5
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications 13
- Molecular Medicine top 2%
- Polymers and Plastics top 5%
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- Tissue Engineering and Regenerative Medicine 6
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- Electrohydrodynamics and Fluid Dynamics 5
- Journals
- Biomaterials (1 paper)Advanced Functional Materials (2 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Qing Gao
75 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Automotive Engineering 2.0k
- Biomedical Engineering 4.4k
- Biomaterials 1.1k
- Molecular Medicine 250
- Polymers and Plastics 280
Countries citing papers authored by Qing Gao
This map shows the geographic impact of Qing Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Gao more than expected).
Fields of papers citing papers by Qing Gao
This network shows the impact of papers produced by Qing Gao. 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 Gao. The network helps show where Qing Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing Gao, 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 | 3 | |
| 2 | 2023 | 46 | |
| 3 | Gelatin Methacryloyl Hydrogel, from Standardization, Performance, to Biomedical Applicationbreakdown → | 2023 | 157 |
| 4 | Tough Gelatin Hydrogel for Tissue Engineeringbreakdown → | 2023 | 102 |
| 5 | 2023 | 38 | |
| 6 | 2021 | 72 | |
| 7 | 2020 | 153 | |
| 8 | 2020 | 34 | |
| 9 | 2019 | 68 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 130 | |
| 12 | 2019 | 60 | |
| 13 | 2018 | 26 | |
| 14 | 2018 | 66 | |
| 15 | 2017 | 54 | |
| 16 | Research on the printability of hydrogels in 3D bioprintingbreakdown → | 2016 | 537 |
| 17 | 2016 | 103 | |
| 18 | Coaxial nozzle-assisted 3D bioprinting with built-in microchannels for nutrients deliverybreakdown → | 2015 | 492 |
| 19 | 2014 | 190 | |
| 20 | 2013 | 30 |
About Qing Gao
Qing Gao is a scholar working on Automotive Engineering, Biomedical Engineering and Biomaterials, having authored 75 papers that have together received 5.6k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (42 papers), Additive Manufacturing and 3D Printing Technologies (26 papers), Innovative Microfluidic and Catalytic Techniques Innovation (17 papers), Electrospun Nanofibers in Biomedical Applications (13 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Tissue Engineering and Regenerative Medicine (6 papers), Electrohydrodynamics and Fluid Dynamics (5 papers) and Bone Tissue Engineering Materials (5 papers). The work is most often cited by research in Automotive Engineering (2.0k citations), Biomedical Engineering (4.4k citations) and Biomaterials (1.1k citations). Qing Gao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yong He, Jianzhong Fu, Chaoqi Xie, An Liu, Haiming Zhao, Lei Shao, Luyu Zhou, Jingjiang Qiu, Liang Ma and Feifei Yang. Their work appears in journals such as Biomaterials, Advanced Functional Materials and Scientific Reports.
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.