The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Development of a three-dimensional, all-human in vitro model of the blood–brain barrier using mono-, co-, and tri-cultivation Transwell models
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Cites
Astrocyte-endothelial interactions at the blood-brain barrier
Abbott, N. J., Rönnbäck, L., & Hansson, E. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1824 · Cited by 5,595
The Blood-Brain Barrier in Health and Chronic Neurodegenerative Disorders
Zlokovic, B. V. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.003 · Cited by 3,280
The blood-brain barrier/neurovascular unit in health and disease
Hawkins, B. T., & Davis, T. P. (2005) · Pharmacological Reviews · doi:10.1124/pr.57.2.4 · Cited by 2,661
Electrical resistance of brain microvascular endothelium
Crone, C., & Olesen, S. P. (1982) · Brain Research · doi:10.1016/0006-8993(82)91227-6 · Cited by 491
Nakagawa, S., Deli, M. A., Nakao, S., Honda, M., Hayashi, K., Nakaoke, R., Kataoka, Y., & Niwa, M. (2007) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-007-9195-4 · Cited by 364
Cited by
Development, maintenance and disruption of the blood-brain barrier
Obermeier, B., Daneman, R., & Ransohoff, R. M. (2013) · Nature Medicine · doi:10.1038/nm.3407 · Cited by 2,452
Helms, H. C., Abbott, N. J., Burek, M., Cecchelli, R., Couraud, P.-O., Deli, M. A., Förster, C., Galla, H. J., Romero, I. A., Shusta, E. V., et al. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16630991 · Cited by 843
Self-citationThe hCMEC/D3 cell line as a model of the human blood brain barrier
Weksler, B., Romero, I. A., & Couraud, P.-O. (2013) · Fluids and Barriers of the CNS · doi:10.1186/2045-8118-10-16 · Cited by 753
Self-citationThe blood-brain barrier in aging and neurodegeneration
Knox, E. G., Aburto, M. R., Clarke, G., Cryan, J. F., & O’Driscoll, C. M. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01511-z · Cited by 738
“The co-cultures are useful as the presence of either astrocytes or pericytes or both cells together with brain endothelial cells improves the BBB characteristics [36, 38, 39, 113, 114].”
BackgroundCampisi, M., Shin, Y., Osaki, T., Hajal, C., Chiono, V., & Kamm, R. D. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.07.014 · Cited by 718
The blood-brain barrier: an engineering perspective
Wong, A. D., Ye, M., Levy, A. F., Rothstein, J. D., Bergles, D. E., & Searson, P. C. (2013) · Frontiers in Neuroengineering · doi:10.3389/fneng.2013.00007 · Cited by 662
Development of Polymeric Nanoparticles for Blood–Brain Barrier Transfer—Strategies and Challenges
Zhang, W., Mehta, A., Tong, Z., Esser, L., & Voelcker, N. H. (2021) · Advanced Science · doi:10.1002/advs.202003937 · Cited by 430
Dando, S. J., Mackay-Sim, A., Norton, R., Currie, B. J., St. John, J. A., Ekberg, J. A. K., Batzloff, M., Ulett, G. C., & Beacham, I. R. (2014) · Clinical Microbiology Reviews · doi:10.1128/cmr.00118-13 · Cited by 428
Organ-on-a chip systems: microengineering to biomimic living systems
Zheng, F., Fu, F., Cheng, Y., Wang, C., Zhao, Y., & Gu, Z. (2016) · Small · doi:10.1002/smll.201503208 · Cited by 338
Neuronal and vascular interactions
Andreone, B. J., Lacoste, B., & Gu, C. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-033835 · Cited by 256
Linville, R. M., DeStefano, J. G., Sklar, M. B., Xu, Z., Farrell, A. M., Bogorad, M. I., Chu, C., Walczak, P., Cheng, L., Mahairaki, V., et al. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2018.10.023 · Cited by 199
Benchmarking in vitro tissue-engineered blood–brain barrier models
DeStefano, J. G., Jamieson, J. J., Linville, R. M., & Searson, P. C. (2018) · Fluids and Barriers of the CNS · doi:10.1186/s12987-018-0117-2 · Cited by 142
HDL from an Alzheimer's disease perspective
Button, E. B., Robert, J., Caffrey, T. M., Fan, J., Zhao, W., & Wellington, C. L. (2019) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000604 · Cited by 114
Fowler, S., Chen, W. L. K., Duignan, D. B., Gupta, A., Hariparsad, N., Kenny, J. R., Lai, W. G., Liras, J., Phillips, J. A., & Gan, J. (2020) · Lab on a Chip · doi:10.1039/c9lc00857h · Cited by 109
Establishment of a Human iPSC- and Nanofiber-Based Microphysiological Blood–Brain Barrier System
Qi, D., Wu, S., Lin, H., Kuss, M. A., Lei, Y., Krasnoslobodtsev, A., Ahmed, S., Zhang, C., Kim, H. J., Jiang, P., et al. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b03962 · Cited by 62
Rodrigues, R. O., Shin, S.-R., & Bañobre-López, M. (2024) · Journal of Nanobiotechnology · doi:10.1186/s12951-024-02720-0 · Cited by 44
Current Status of In vitro Models of the Blood-brain Barrier
Dong, X., & Shah, B. (2022) · Current Drug Delivery · doi:10.2174/1567201819666220303102614 · Cited by 42
Omi/HtrA2 Protease Associated Cell Apoptosis Participates in Blood-Brain Barrier Dysfunction
Hu, Y., Bi, Y., Yao, D., Wang, P., & Li, Y. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00048 · Cited by 36
Song, R., Pekrun, K., Khan, T. A., Zhang, F., Paşca, S. P., & Kay, M. A. (2022) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2022.09.002 · Cited by 36
In Situ Detection of Neuroinflammation Using Multicellular 3D Neurovascular‐Unit‐on‐a‐Chip
Choi, J., Choi, H. K., & Lee, K. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202304382 · Cited by 21
Dufva, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-35043-5 · Cited by 14
Tomak, A., Saglam-Metiner, P., Coban, R., Oksel-Karakus, C., & Yesil-Celiktas, O. (2025) · Tissue and Cell · doi:10.1016/j.tice.2025.103080 · Cited by 6
Metadata
- Authors
- Hatherell, K., Couraud, P.-O., Romero, I. A., Weksler, B., & Pilkington, G. J.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 199
- Issue
- 2
- Pages
- 223-229
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2077673959
- Cited by
- 334
- References
- 5
- FWCI
- 7.33
- Type
- journal article
- Language
- en
- Open access
- closed
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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.