Bryan Wei
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques 40
- RNA Interference and Gene Delivery 25
- DNA and Nucleic Acid Chemistry 16
- DNA and Biological Computing 4
- Ecology top 5%
- Bacteriophages and microbial interactions 15
- Biomaterials top 10%
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection 7
- Plasmonic and Surface Plasmon Research 2
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- Modular Robots and Swarm Intelligence 5
- Co-authors
- Peng YinMingjie DaiYongli MiKathy Qian LuoTianqing ZhangXiaojin HeLuvena L. OngRalf Jungmann
- Cited by
- Molecular BiologyEcologyBiomaterials
- Journals
- Journal of the American Chemical Society (8 papers)Nucleic Acids Research (5 papers)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bryan Wei
40 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Molecular Biology 1.4k
- Ecology 318
- Biomaterials 135
- Biomedical Engineering 434
- Molecular Medicine 27
Countries citing papers authored by Bryan Wei
This map shows the geographic impact of Bryan Wei'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 Bryan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Wei more than expected).
Fields of papers citing papers by Bryan Wei
This network shows the impact of papers produced by Bryan Wei. 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 Bryan Wei. The network helps show where Bryan Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bryan Wei, 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 | 3 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 24 | |
| 11 | 2017 | 13 | |
| 12 | 2017 | 17 | |
| 13 | 2016 | 27 | |
| 14 | 2015 | 3 | |
| 15 | 2014 | 23 | |
| 16 | 2014 | 13 | |
| 17 | Complex shapes self-assembled from single-stranded DNA tilesbreakdown → | 2012 | 771 |
| 18 | 2010 | 56 | |
| 19 | Uniquimer: Software of de novo DNA sequence generation for DNA self-assembly - An introduction and the related applications in DNA self-assembly | 2007 | 23 |
| 20 | 2007 | 102 |
About Bryan Wei
Bryan Wei is a scholar working on Molecular Biology, Ecology, Biomedical Engineering, Mechanical Engineering and Biomaterials, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (40 papers), RNA Interference and Gene Delivery (25 papers), DNA and Nucleic Acid Chemistry (16 papers), Bacteriophages and microbial interactions (15 papers), Biosensors and Analytical Detection (7 papers), Modular Robots and Swarm Intelligence (5 papers), DNA and Biological Computing (4 papers) and Plasmonic and Surface Plasmon Research (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Ecology (318 citations), Biomaterials (135 citations), Biomedical Engineering (434 citations) and Molecular Medicine (27 citations). Bryan Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peng Yin, Mingjie Dai, Yongli Mi, Kathy Qian Luo, Tianqing Zhang, Xiaojin He, Luvena L. Ong, Ralf Jungmann, Chenxiang Lin and Jeanette Nangreave. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research, Nature Communications, ACS Nano and Nanoscale.
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.