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Theoretical Analysis of Molecular Diffusion in Pressure-Driven Laminar Flow in Microfluidic Channels
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Citations
Cited by
Microfluidics: Fluid physics at the nanoliter scale
Squires, T. M., & Quake, S. R. (2005) · Reviews of Modern Physics · doi:10.1103/revmodphys.77.977 · Cited by 4,379
The present and future role of microfluidics in biomedical research
Sackmann, E. K., Fulton, A. L., & Beebe, D. J. (2014) · Nature · doi:10.1038/nature13118 · Cited by 2,995
Liposomes: Advancements and innovation in the manufacturing process
Shah, S., Dhawan, V., Holm, R., Nagarsenker, M. S., & Perrie, Y. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.07.002 · Cited by 745
A rapid diffusion immunoassay in a T-sensor
Hatch, A., Kamholz, A. E., Hawkins, K. R., Munson, M. S., Schilling, E. A., Weigl, B. H., & Yager, P. (2001) · Nature Biotechnology · doi:10.1038/88135 · Cited by 383
Self-citationBiological applications of microfluidic gradient devices
Kim, S., Kim, H. J., & Jeon, N. L. (2010) · Integrative Biology · doi:10.1039/c0ib00055h · Cited by 366
Metadata
- Authors
- Kamholz, A. E., & Yager, P.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 2001-01
- Volume
- 80
- Issue
- 1
- Pages
- 155-160
- ISSN
- 0006-3495 (ISSN-L)
- OpenAlex
- W1978823524
- Cited by
- 249
- References
- 0
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Theoretical Analysis of Molecular Diffusion in Pressure-Driven Laminar Flow in Microfluidic Channels. https://app.cochat.ai/papers/10.1016/s0006-3495(01)76003-1
- The paper
- Kamholz, A. E., & Yager, P. (2001). Theoretical Analysis of Molecular Diffusion in Pressure-Driven Laminar Flow in Microfluidic Channels. Biophysical Journal. https://doi.org/10.1016/s0006-3495(01)76003-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
