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High-Resolution, 1H-Nuclear Magnetic Resonance Spectroscopy as a Tool in the Structural Analysis of Carbohydrates Related to Glycoproteins
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Citations
Cited by
NMR Spectroscopy in the structural elucidation of oligosaccharides and glycosides
Agrawal, P. K. (1992) · Phytochemistry · doi:10.1016/0031-9422(92)83678-r · Cited by 1,454
Zhang, M., Cui, S. W., Cheung, P. C. K., & Wang, Q. (2007) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2006.07.013 · Cited by 989
Protein glycosylation: Structural and functional aspects
LIS, H., & SHARON, N. (1993) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1993.tb18347.x · Cited by 833
Structure and Function of Plant Cell Walls
BACIC, A., HARRIS, P. J., & STONE, B. A. (1988) · The Biochemistry of Plants · doi:10.1016/b978-0-08-092615-5.50014-x · Cited by 585
Jansson, P.-E., Kenne, L., & Widmalm, G. (1989) · Carbohydrate Research · doi:10.1016/0008-6215(89)84069-8 · Cited by 512
Metadata
- Authors
- Vliegenthart, J. F. G., Dorland, L., & Halbeek, H. V.
- Venue
- Advances in Carbohydrate Chemistry and Biochemistry
- Publisher
- Elsevier
- Published
- 1983
- Pages
- 209-374
- ISSN
- 0065-2318 (ISSN-L)
- OpenAlex
- W1539737337
- Cited by
- 822
- References
- 0
- FWCI
- 35.23
- Type
- book chapter
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: High-Resolution, 1H-Nuclear Magnetic Resonance Spectroscopy as a Tool in the Structural Analysis of Carbohydrates Related to Glycoproteins. https://app.cochat.ai/papers/10.1016/s0065-2318(08)60059-1
- The paper
- Vliegenthart, J. F. G., Dorland, L., & Halbeek, H. V. (1983). High-Resolution, 1H-Nuclear Magnetic Resonance Spectroscopy as a Tool in the Structural Analysis of Carbohydrates Related to Glycoproteins. Advances in Carbohydrate Chemistry and Biochemistry. https://doi.org/10.1016/s0065-2318(08)60059-1
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.