The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A comparative study of artificial membrane permeability assay for high throughput profiling of drug absorption potential
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Citations
Cites
Partition coefficients and their uses
Leo, A., Hansch, C., & Elkins, D. (1971) · Chemical Reviews · doi:10.1021/cr60274a001 · Cited by 4,540
Artursson, P., & Karlsson, J. (1991) · Biochemical and Biophysical Research Communications · doi:10.1016/0006-291x(91)91647-u · Cited by 1,893
Kansy, M., Senner, F., & Gubernator, K. (1998) · Journal of Medicinal Chemistry · doi:10.1021/jm970530e · Cited by 1,304
Yee, S. (1997) · Pharmaceutical Research · doi:10.1023/a:1012102522787 · Cited by 1,030
MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening
Irvine, J. D., Takahashi, L., Lockhart, K., Cheong, J., Tolan, J. W., Selick, H. E., & Grove, J. R. (1999) · Journal of Pharmaceutical Sciences · doi:10.1021/js9803205 · Cited by 980
Clark, D. E. (1999) · Journal of Pharmaceutical Sciences · doi:10.1021/js9804011 · Cited by 627
Wohnsland, F., & Faller, B. (2001) · Journal of Medicinal Chemistry · doi:10.1021/jm001020e · Cited by 492
Yazdanian, M., Glynn, S. L., Wright, J. L., & Hawi, A. (1998) · Pharmaceutical Research · doi:10.1023/a:1011930411574 · Cited by 453
Winiwarter, S., Bonham, N. M., Ax, F., Hallberg, A., Lennernäs, H., & Karlén, A. (1998) · Journal of Medicinal Chemistry · doi:10.1021/jm9810102 · Cited by 453
Linear Relationships between Lipophilic Character and Biological Activity of Drugs
Hansch, C., & Dunn, W. J. (1972) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.2600610102 · Cited by 445
Cited by
High throughput artificial membrane permeability assay for blood–brain barrier
Di, L., Kerns, E. H., Fan, K., McConnell, O. J., & Carter, G. T. (2003) · European Journal of Medicinal Chemistry · doi:10.1016/s0223-5234(03)00012-6 · Cited by 1,195
Wu, I. Y., Bala, S., Škalko-Basnet, N., & di Cagno, M. P. (2019) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2019.105026 · Cited by 439
PAMPA—critical factors for better predictions of absorption
Avdeef, A., Bendels, S., Di, L. I., Faller, B., Kansy, M., Sugano, K., & Yamauchi, Y. (2007) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.21068 · Cited by 240
Drug permeability profiling using cell-free permeation tools: overview and applications
Berben, P., Bauer-Brandl, A., Brandl, M., Faller, B., Flaten, G. E., Jacobsen, A.-C., Brouwers, J., & Augustijns, P. (2018) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2018.04.016 · Cited by 199
New biomimetic barrier Permeapad™ for efficient investigation of passive permeability of drugs
di Cagno, M., Bibi, H. A., & Bauer-Brandl, A. (2015) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2015.03.019 · Cited by 146
Metadata
- Authors
- Zhu, C., Jiang, L., Chen, T.-M., & Hwang, K.-K.
- Venue
- European Journal of Medicinal Chemistry
- Publisher
- Elsevier BV
- Published
- 2002-05
- Volume
- 37
- Issue
- 5
- Pages
- 399-407
- ISSN
- 0223-5234 (ISSN-L)
- OpenAlex
- W2031553055
- Cited by
- 351
- References
- 29
- FWCI
- 13.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A comparative study of artificial membrane permeability assay for high throughput profiling of drug absorption potential. https://app.cochat.ai/papers/10.1016/s0223-5234(02)01360-0
- The paper
- Zhu, C., Jiang, L., Chen, T.-M., & Hwang, K.-K. (2002). A comparative study of artificial membrane permeability assay for high throughput profiling of drug absorption potential. European Journal of Medicinal Chemistry. https://doi.org/10.1016/s0223-5234(02)01360-0
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.
