Brian Cheng
Impact in
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- Micro and Nano Robotics
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- Neurological Disease Mechanisms and Treatments
Papers in
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- Extracellular vesicles in disease 2
- Glutathione Transferases and Polymorphisms 1
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- Electrowetting and Microfluidic Technologies 3
- Co-authors
- Dino Di Carlo (3 shared papers)Gan Luo (5 shared papers)Wenzhuo Yu (1 shared paper)Xu He (1 shared paper)Haisong Lin (1 shared paper)Christopher Yeung (1 shared paper)Jiawei Tan (1 shared paper)Sam Emaminejad (1 shared paper)
- Journals
- Lab on a Chip (2 papers)Nature Nanotechnology (1 paper)Science Robotics (1 paper)Biomedicine & Pharmacotherapy (1 paper)Pharmaceutics (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Brian Cheng
14 papers receiving 300 citations
Peers
Comparison fields: 5 of 80
- Condensed Matter Physics 48
- Neurology 24
- Complementary and alternative medicine 23
- Biomedical Engineering 104
- Developmental Neuroscience 6
Countries citing papers authored by Brian Cheng
This map shows the geographic impact of Brian Cheng'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 Brian Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Cheng more than expected).
Fields of papers citing papers by Brian Cheng
This network shows the impact of papers produced by Brian Cheng. 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 Brian Cheng. The network helps show where Brian Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Cheng, 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 | 2020 | 96 | |
| 2 | 2018 | 36 | |
| 3 | 2018 | 33 | |
| 4 | 2023 | 27 | |
| 5 | 2021 | 24 | |
| 6 | 2023 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2024 | 8 | |
| 11 | [Comparative study on pharmacological effects of various species of Pueraria]. | 1995 | 7 |
| 12 | 2019 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2021 | 2 |
About Brian Cheng
Brian Cheng is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Surgery and Neurology, having authored 14 papers that have together received 306 indexed citations. Recurring topics across this work include Electrowetting and Microfluidic Technologies (3 papers), Modular Robots and Swarm Intelligence (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Extracellular vesicles in disease (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Glutathione Transferases and Polymorphisms (1 paper) and Granular flow and fluidized beds (1 paper). The work is most often cited by research in Condensed Matter Physics (48 citations), Neurology (24 citations), Complementary and alternative medicine (23 citations), Biomedical Engineering (104 citations) and Developmental Neuroscience (6 citations). Brian Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dino Di Carlo, Gan Luo, Wenzhuo Yu, Xu He, Haisong Lin, Christopher Yeung, Jiawei Tan, Sam Emaminejad, Hui Zhao and Yi Zhang. Their work appears in journals such as Lab on a Chip, Nature Nanotechnology, Science Robotics, Biomedicine & Pharmacotherapy and Pharmaceutics.
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.