Ryan Becker
Impact in
- Biomedical Engineering top 5%
- Microfluidic and Bio-sensing Technologies
- Advanced optical system design
- Microfluidic and Capillary Electrophoresis Applications
- Bone Tissue Engineering Materials
- Acoustic Wave Resonator Technologies
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- Gold and Silver Nanoparticles Synthesis and Applications
Papers in
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- Microfluidic and Bio-sensing Technologies 7
- Microfluidic and Capillary Electrophoresis Applications 2
- Ultrasound and Hyperthermia Applications 1
- Bone Tissue Engineering Materials 1
- Innovative Microfluidic and Catalytic Techniques Innovation 1
- Genetics 1
- Co-authors
- Tony Jun Huang (10 shared papers)Shujie Yang (6 shared papers)Zeyu Wang (5 shared papers)Joseph Rufo (4 shared papers)Peiran Zhang (3 shared papers)Hunter Bachman (2 shared papers)Jinxin Zhang (3 shared papers)Chuyi Chen (3 shared papers)
- Journals
- Nature Communications (2 papers)Science Advances (2 papers)Microsystems & Nanoengineering (1 paper)Small (1 paper)ACS Nano (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Ryan Becker
10 papers receiving 583 citations
Peers
Comparison fields: 5 of 64
- Biomedical Engineering 382
- Electronic, Optical and Magnetic Materials 36
- Rehabilitation 11
- Molecular Biology 107
- Acoustics and Ultrasonics 2
Countries citing papers authored by Ryan Becker
This map shows the geographic impact of Ryan Becker'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 Ryan Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Becker more than expected).
Fields of papers citing papers by Ryan Becker
This network shows the impact of papers produced by Ryan Becker. 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 Ryan Becker. The network helps show where Ryan Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Becker, 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 | 2021 | 198 | |
| 2 | 2021 | 104 | |
| 3 | 2021 | 62 | |
| 4 | 2022 | 58 | |
| 5 | 2021 | 52 | |
| 6 | 2021 | 51 | |
| 7 | 2023 | 27 | |
| 8 | 2024 | 25 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 |
About Ryan Becker
Ryan Becker is a scholar working on Biomedical Engineering, Genetics, Molecular Biology, Materials Chemistry and Surgery, having authored 10 papers that have together received 586 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (7 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Extracellular vesicles in disease (2 papers), Orthopedic Infections and Treatments (1 paper), Ultrasound and Hyperthermia Applications (1 paper), Bone Tissue Engineering Materials (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Nanoparticles: synthesis and applications (1 paper). The work is most often cited by research in Biomedical Engineering (382 citations), Electronic, Optical and Magnetic Materials (36 citations), Rehabilitation (11 citations), Molecular Biology (107 citations) and Acoustics and Ultrasonics (2 citations). Ryan Becker has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Tony Jun Huang, Shujie Yang, Zeyu Wang, Joseph Rufo, Peiran Zhang, Hunter Bachman, Jinxin Zhang, Chuyi Chen, David T. Wong and Yuyang Gu. Their work appears in journals such as Nature Communications, Science Advances, Microsystems & Nanoengineering, Small and ACS Nano.
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.