David J. Beebe
- Biomedical Engineering top 0.01%
- 3D Printing in Biomedical Research 136
- Microfluidic and Capillary Electrophoresis Applications 114
- Microfluidic and Bio-sensing Technologies 103
- Innovative Microfluidic and Catalytic Techniques Innovation 87
- Advanced Sensor and Energy Harvesting Materials 28
- Molecular Medicine top 0.1%
- Surfaces, Coatings and Films top 0.2%
- Bioengineering top 0.2%
- Biomaterials top 0.5%
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- Cancer Cells and Metastasis 54
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- Electrowetting and Microfluidic Technologies 39
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- Cellular Mechanics and Interactions 30
- Co-authors
- Eric K. SackmannGlenn M. WalkerJeffrey S. MooreEdmond W. K. YoungGlennys MensingErwin BerthierMichael W. ToepkeJavier Atencia
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
David J. Beebe
385 papers receiving 28.8k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Biomedical Engineering 21.8k
- Molecular Medicine 1.8k
- Surfaces, Coatings and Films 1.5k
- Bioengineering 822
- Biomaterials 1.4k
Countries citing papers authored by David J. Beebe
This map shows the geographic impact of David J. Beebe'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 David J. Beebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Beebe more than expected).
Fields of papers citing papers by David J. Beebe
This network shows the impact of papers produced by David J. Beebe. 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 David J. Beebe. The network helps show where David J. Beebe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. Beebe, 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 | 2024 | 6 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 114 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2019 | 1 | |
| 17 | 2016 | 50 | |
| 18 | 2016 | 55 | |
| 19 | 2011 | 40 | |
| 20 | 2010 | 14 |
About David J. Beebe
David J. Beebe is a scholar working on Biomedical Engineering, Molecular Medicine, Oncology, Cell Biology and Immunology and Allergy, having authored 395 papers that have together received 29.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (136 papers), Microfluidic and Capillary Electrophoresis Applications (114 papers), Microfluidic and Bio-sensing Technologies (103 papers), Innovative Microfluidic and Catalytic Techniques Innovation (87 papers), Cancer Cells and Metastasis (54 papers), Electrowetting and Microfluidic Technologies (39 papers), Cellular Mechanics and Interactions (30 papers) and Advanced Sensor and Energy Harvesting Materials (28 papers). The work is most often cited by research in Biomedical Engineering (21.8k citations), Molecular Medicine (1.8k citations), Surfaces, Coatings and Films (1.5k citations), Bioengineering (822 citations) and Biomaterials (1.4k citations). David J. Beebe has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Eric K. Sackmann, Glenn M. Walker, Jeffrey S. Moore, Edmond W. K. Young, Glennys Mensing, Erwin Berthier, Michael W. Toepke, Javier Atencia, Qing Yu and Abhishek Agarwal. Their work appears in journals such as Lab on a Chip, Integrative Biology, Analytical Chemistry, Biomedical Microdevices and Journal of Microelectromechanical Systems.
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.