The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Methodology of1H NMR spectroscopy of the human brain at very high magnetic fields
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Citations
Cites
In vivo 1 H NMR spectroscopy of the human brain at 7 T
Tkáč, I., Andersen, P., Adriany, G., Merkle, H., Uǧurbil, K., & Gruetter, R. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1213 · Cited by 394
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Cited by
In vivo magnetic resonance spectroscopy of GABA: A methodological review
Puts, N. A. J., & Edden, R. A. E. (2012) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2011.06.001 · Cited by 393
Mangia, S., Tkáč, I., Gruetter, R., Van de Moortele, P.-F., Maraviglia, B., & Uğurbil, K. (2007) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600401 · Cited by 285
Self-citationGlutamate and glutamine: a review of in vivo MRS in the human brain
Ramadan, S., Lin, A., & Stanwell, P. (2013) · NMR in Biomedicine · doi:10.1002/nbm.3045 · Cited by 282
Lin, Y., Stephenson, M. C., Xin, L., Napolitano, A., & Morris, P. G. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.33 · Cited by 163
Mangia, S., Giove, F., Tkáč, I., Logothetis, N. K., Henry, P.-G., Olman, C. A., Maraviglia, B., Di Salle, F., & Uğurbil, K. (2009) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2008.134 · Cited by 161
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Metadata
- Authors
- Tkáć, I., & Gruetter, R.
- Venue
- Applied Magnetic Resonance
- Published
- 2005-03
- Volume
- 29
- Issue
- 1
- Pages
- 139-157
- ISSN
- 0937-9347 (ISSN-L)
- 1613-7507
- OpenAlex
- W1988751127
- Cited by
- 184
- References
- 1
- FWCI
- 3.57
- Type
- journal article
- Language
- en
- Open access
- green
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- Tkáć, I., & Gruetter, R. (2005). Methodology of1H NMR spectroscopy of the human brain at very high magnetic fields. Applied Magnetic Resonance. https://doi.org/10.1007/bf03166960
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.
