Teng Gao
- Materials Chemistry top 1%
- Graphene research and applications 42
- 2D Materials and Applications 9
- MXene and MAX Phase Materials 6
- Automotive Engineering top 1%
- Rehabilitation top 1%
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- Advancements in Battery Materials 7
- Advanced Memory and Neural Computing 6
- Biomedical Engineering top 1%
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- Quantum and electron transport phenomena 12
- Surface and Thin Film Phenomena 12
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- Cancer Genomics and Diagnostics 7
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Teng Gao
88 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Materials Chemistry 4.1k
- Automotive Engineering 693
- Rehabilitation 329
- Electrical and Electronic Engineering 2.6k
- Biomedical Engineering 1.9k
Countries citing papers authored by Teng Gao
This map shows the geographic impact of Teng 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 Teng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Gao more than expected).
Fields of papers citing papers by Teng Gao
This network shows the impact of papers produced by Teng 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 Teng Gao. The network helps show where Teng Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Teng 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 62 | |
| 12 | Facile formation of injectable quaternized chitosan/tannic acid hydrogels with antibacterial and ROS scavenging capabilities for diabetic wound healingbreakdown → | 2021 | 222 |
| 13 | Optimization of gelatin–alginate composite bioink printability using rheological parameters: a systematic approachbreakdown → | 2018 | 414 |
| 14 | 2017 | 6 | |
| 15 | 2015 | 2 | |
| 16 | Highly sensitive hot electron bolometer based on disordered graphene | 2014 | 5 |
| 17 | 2014 | 16 | |
| 18 | 2014 | 71 | |
| 19 | 2013 | 21 | |
| 20 | 2012 | 3 |
About Teng Gao
Teng Gao is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Cancer Research, having authored 96 papers that have together received 7.2k indexed citations. Recurring topics across this work include Graphene research and applications (42 papers), Quantum and electron transport phenomena (12 papers), Surface and Thin Film Phenomena (12 papers), 2D Materials and Applications (9 papers), Cancer Genomics and Diagnostics (7 papers), Advancements in Battery Materials (7 papers), Advanced Memory and Neural Computing (6 papers) and MXene and MAX Phase Materials (6 papers). The work is most often cited by research in Materials Chemistry (4.1k citations), Automotive Engineering (693 citations) and Rehabilitation (329 citations). Teng Gao has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Zhongfan Liu, Yanfeng Zhang, Yubin Chen, Donglin Ma, Qingqing Ji, Xiuju Song, Mengxi Liu, Yù Zhang, Charles M. Lieber and Jingyu Sun. Their work appears in journals such as Nano Research, Nano Letters, ACS Nano, Advanced Materials and Small.
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.