Feng Guo
- Biomedical Engineering top 0.2%
- Microfluidic and Bio-sensing Technologies 48
- Microfluidic and Capillary Electrophoresis Applications 38
- 3D Printing in Biomedical Research 36
- Innovative Microfluidic and Catalytic Techniques Innovation 21
- Biosensors and Analytical Detection 6
- Condensed Matter Physics top 5%
- Biomaterials top 5%
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- Electrowetting and Microfluidic Technologies 17
- Pharmaceutical Science top 2%
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- Neuroscience and Neural Engineering 7
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- Cancer Cells and Metastasis 6
- Co-authors
- Tony Jun HuangPeng LiZheng AoZhangming MaoJames P. LataHongwei CaiJoseph RufoXiaoyun Ding
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Advanced Materials (3 papers)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Feng Guo
130 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Biomedical Engineering 5.8k
- Condensed Matter Physics 403
- Biomaterials 411
- Electrical and Electronic Engineering 1.7k
- Pharmaceutical Science 167
Countries citing papers authored by Feng Guo
This map shows the geographic impact of Feng Guo'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 Feng Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Guo more than expected).
Fields of papers citing papers by Feng Guo
This network shows the impact of papers produced by Feng Guo. 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 Feng Guo. The network helps show where Feng Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Guo, 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 | 4 | |
| 3 | 2025 | 13 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 39 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 48 | |
| 10 | 2021 | 78 | |
| 11 | 2020 | 36 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 35 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 25 | |
| 16 | 2018 | 38 | |
| 17 | 2018 | 27 | |
| 18 | 2018 | 21 | |
| 19 | Acoustic tweezers for the life sciencesbreakdown → | 2018 | 634 |
| 20 | Laser transmission model in paint and related experimental | 2012 | 0 |
About Feng Guo
Feng Guo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 142 papers that have together received 7.6k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (48 papers), Microfluidic and Capillary Electrophoresis Applications (38 papers), 3D Printing in Biomedical Research (36 papers), Innovative Microfluidic and Catalytic Techniques Innovation (21 papers), Electrowetting and Microfluidic Technologies (17 papers), Neuroscience and Neural Engineering (7 papers), Cancer Cells and Metastasis (6 papers) and Biosensors and Analytical Detection (6 papers). The work is most often cited by research in Biomedical Engineering (5.8k citations), Condensed Matter Physics (403 citations) and Biomaterials (411 citations). Feng Guo has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Tony Jun Huang, Peng Li, Zheng Ao, Zhangming Mao, James P. Lata, Hongwei Cai, Joseph Rufo, Xiaoyun Ding, Adem Özçelik and Nitesh Nama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.
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.