Jun Yao
Impact in
-
- Solar-Powered Water Purification Methods
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials
- Nanowire Synthesis and Applications
Papers in
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- Neuroscience and Neural Engineering 10
- Photoreceptor and optogenetics research 4
- Co-authors
- Xiaomeng LiuHongyan GaoTianda FuDerek R. LovleyBing YinCharles M. LieberHao YanJoy E. Ward
- Journals
- Nature Communications (6 papers)Nano Letters (6 papers)IEEE Photonics Technology Letters (4 papers)Biosensors and Bioelectronics (2 papers)Advanced Materials (2 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Jun Yao
34 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Renewable Energy, Sustainability and the Environment 439
- Biomedical Engineering 1.0k
- Electrical and Electronic Engineering 1.1k
- Cellular and Molecular Neuroscience 308
- Polymers and Plastics 215
Countries citing papers authored by Jun Yao
This map shows the geographic impact of Jun Yao'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 Jun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao more than expected).
Fields of papers citing papers by Jun Yao
This network shows the impact of papers produced by Jun Yao. 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 Jun Yao. The network helps show where Jun Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Yao, 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 | 2 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 31 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 128 | |
| 9 | 2021 | 69 | |
| 10 | 2021 | 57 | |
| 11 | Power generation from ambient humidity using protein nanowires Hit paper breakdown → | 2020 | 628 |
| 12 | 2020 | 200 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 55 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 18 | |
| 17 | 2018 | 15 | |
| 18 | 2013 | 250 | |
| 19 | 2000 | 19 | |
| 20 | 1994 | 1 |
About Jun Yao
Jun Yao is a scholar working on Cellular and Molecular Neuroscience, Bioengineering, Electrical and Electronic Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), Advanced Memory and Neural Computing (7 papers), Nanowire Synthesis and Applications (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Photonic and Optical Devices (6 papers), Semiconductor Lasers and Optical Devices (5 papers), Photoreceptor and optogenetics research (4 papers) and Microbial Fuel Cells and Bioremediation (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (439 citations), Biomedical Engineering (1.0k citations), Electrical and Electronic Engineering (1.1k citations), Cellular and Molecular Neuroscience (308 citations) and Polymers and Plastics (215 citations). Jun Yao has collaborated with scholars based in United States, France and China. Frequent co-authors include Xiaomeng Liu, Hongyan Gao, Tianda Fu, Derek R. Lovley, Bing Yin, Charles M. Lieber, Hao Yan, Joy E. Ward, Xiaorong Liu and Jianhan Chen. Their work appears in journals such as Nature Communications, Nano Letters, IEEE Photonics Technology Letters, Biosensors and Bioelectronics and Advanced Materials.
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.