Ryan Becker
Impact in
- Biomedical Engineering top 10%
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- Nanopore and Nanochannel Transport Studies
- Biosensors and Analytical Detection
- 3D Printing in Biomedical Research
- Advanced optical system design
Papers in
-
- Microfluidic and Bio-sensing Technologies 6
- Biosensors and Analytical Detection 2
- 3D Printing in Biomedical Research 2
- Nanopore and Nanochannel Transport Studies 2
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- Electrowetting and Microfluidic Technologies 1
- Electrohydrodynamics and Fluid Dynamics 1
- Co-authors
- Tony Jun Huang (9 shared papers)Shujie Yang (6 shared papers)Zeyu Wang (5 shared papers)Joseph Rufo (4 shared papers)Hunter Bachman (2 shared papers)Peiran Zhang (3 shared papers)Jinxin Zhang (3 shared papers)Yuyang Gu (3 shared papers)
- Journals
- Nature Communications (2 papers)Science Advances (2 papers)Microsystems & Nanoengineering (1 paper)Engineering (1 paper)ACS Nano (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Ryan Becker
9 papers receiving 514 citations
Peers
Comparison fields: 5 of 77
- Biomedical Engineering 369
- Surfaces, Coatings and Films 19
- Acoustics and Ultrasonics 2
- Electrical and Electronic Engineering 121
- Media Technology 18
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 | 176 | |
| 2 | 2021 | 93 | |
| 3 | 2021 | 54 | |
| 4 | 2021 | 50 | |
| 5 | 2022 | 48 | |
| 6 | 2021 | 48 | |
| 7 | 2023 | 25 | |
| 8 | 2024 | 18 | |
| 9 | 2022 | 4 |
About Ryan Becker
Ryan Becker is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Biomaterials and Media Technology, having authored 9 papers that have together received 516 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (6 papers), Biosensors and Analytical Detection (2 papers), 3D Printing in Biomedical Research (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Extracellular vesicles in disease (2 papers), Advanced Optical Imaging Technologies (1 paper), Electrowetting and Microfluidic Technologies (1 paper) and Electrohydrodynamics and Fluid Dynamics (1 paper). The work is most often cited by research in Biomedical Engineering (369 citations), Surfaces, Coatings and Films (19 citations), Acoustics and Ultrasonics (2 citations), Electrical and Electronic Engineering (121 citations) and Media Technology (18 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, Hunter Bachman, Peiran Zhang, Jinxin Zhang, Yuyang Gu, David T. Wong and Chuyi Chen. Their work appears in journals such as Nature Communications, Science Advances, Microsystems & Nanoengineering, Engineering 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.