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ChemInform Abstract: Multidimensional Solid‐State NMR of Polymers
Abstract
ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
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Citations
Cited by
Inorganic glasses, glass-forming liquids and amorphizing solids
Greaves, G. N., & Sen, S. (2007) · Advances in Physics · doi:10.1080/00018730601147426 · Cited by 599
Blümich, B., Perlo, J., & Casanova, F. (2008) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2007.10.002 · Cited by 469
Structure and mechanical properties of poly(?,?-lactic acid)/poly(ɛ-caprolactone) blends
Broz, M. (2003) · Biomaterials · doi:10.1016/s0142-9612(03)00314-4 · Cited by 388
Böhmer, R., Gainaru, C., & Richert, R. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.07.005 · Cited by 280
Simple and efficient decoupling in magic-angle spinning solid-state NMR: the XiX scheme
Detken, A., Hardy, E. H., Ernst, M., & Meier, B. H. (2002) · Chemical Physics Letters · doi:10.1016/s0009-2614(02)00335-4 · Cited by 258
Metadata
- Authors
- SPIESS, H. W.
- Venue
- ChemInform
- Publisher
- Wiley
- Published
- 1996-09-03
- Volume
- 27
- Issue
- 36
- ISSN
- 0009-2975 (ISSN-L)
- 0931-7597
- 1522-2667
- OpenAlex
- W1985215204
- Cited by
- 1,296
- References
- 0
- FWCI
- 44.09
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: ChemInform Abstract: Multidimensional Solid‐State NMR of Polymers. https://app.cochat.ai/papers/10.1002/chin.199636330
- The paper
- SPIESS, H. W. (1996). ChemInform Abstract: Multidimensional Solid‐State NMR of Polymers. ChemInform. https://doi.org/10.1002/chin.199636330
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.