The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Enhancement of the growth of human endothelial cells by surface roughness at nanometer scale
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Citations
Cites
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Cited by
Neural tissue engineering options for peripheral nerve regeneration
Gu, X., Ding, F., & Williams, D. F. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.04.064 · Cited by 630
The role of nanometer and sub-micron surface features on vascular and bone cell adhesion on titanium
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Cell Responses to Surface and Architecture of Tissue Engineering Scaffolds
Chang, H.-I., & Wang, Y. (2011) · Regenerative Medicine and Tissue Engineering - Cells and Biomaterials · doi:10.5772/21983 · Cited by 393
Applications of Polymer Nanofibers in Biomedicine and Biotechnology
Venugopal, J., & Ramakrishna, S. (2005) · Applied Biochemistry and Biotechnology · doi:10.1385/abab:125:3:147 · Cited by 370
Su, Y., Wang, K., Gao, J., Yang, Y., Qin, Y.-X., Zheng, Y., & Zhu, D. (2019) · Acta Biomaterialia · doi:10.1016/j.actbio.2019.03.055 · Cited by 268
Metadata
- Authors
- Chung, T.-W., Liu, D.-Z., Wang, S.-Y., & Wang, S.-S.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2003-11
- Volume
- 24
- Issue
- 25
- Pages
- 4655-4661
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W2036493022
- Cited by
- 381
- References
- 16
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Enhancement of the growth of human endothelial cells by surface roughness at nanometer scale. https://app.cochat.ai/papers/10.1016/s0142-9612(03)00361-2
- The paper
- Chung, T.-W., Liu, D.-Z., Wang, S.-Y., & Wang, S.-S. (2003). Enhancement of the growth of human endothelial cells by surface roughness at nanometer scale. Biomaterials. https://doi.org/10.1016/s0142-9612(03)00361-2
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.
