The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Manganese-based MRI contrast agents: past, present, and future
Open accessAbstract
Paramagnetic and superparamagnetic metals are used as contrast materials for magnetic resonance (MR) based techniques. Lanthanide metal gadolinium (Gd) has been the most widely explored, predominant paramagnetic contrast agent until the discovery and association of the metal with nephrogenic systemic fibrosis (NSF), a rare but serious side effects in patients with renal or kidney problems. Manganese was one of the earliest reported examples of paramagnetic contrast material for MRI because of its efficient positive contrast enhancement. In this review, manganese based contrast agent approaches are discussed with a particular emphasis on their synthetic approaches. Both small molecules based typical blood pool contrast agents and more recently developed novel nanometer sized materials are reviewed focusing on a number of successful molecular imaging examples.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Magnetic bistability in a metal-ion cluster
Sessoli, R., Gatteschi, D., Caneschi, A., & Novak, M. A. (1993) · Nature · doi:10.1038/365141a0 · Cited by 4,307
Manganese-Based Nanoscale Metal−Organic Frameworks for Magnetic Resonance Imaging
Taylor, K. M. L., Rieter, W. J., & Lin, W. (2008) · Journal of the American Chemical Society · doi:10.1021/ja803777x · Cited by 657
Development of a T1 Contrast Agent for Magnetic Resonance Imaging Using MnO Nanoparticles
Na, H. B., Lee, J. H., An, K., Park, Y. I., Park, M., Lee, I. S., Nam, D., Kim, S. T., Kim, S., Kim, S., et al. (2007) · Angewandte Chemie International Edition · doi:10.1002/anie.200604775 · Cited by 614
Kim, T., Momin, E., Choi, J., Yuan, K., Zaidi, H., Kim, J., Park, M., Lee, N., McMahon, M. T., Quinones-Hinojosa, A., et al. (2011) · Journal of the American Chemical Society · doi:10.1021/ja1084095 · Cited by 511
Manganese‐enhanced magnetic resonance imaging (MEMRI): methodological and practical considerations
Silva, A. C., Lee, J. H., Aoki, I., & Koretsky, A. P. (2004) · NMR in Biomedicine · doi:10.1002/nbm.945 · Cited by 486
Shin, J., Anisur, R. M., Ko, M. K., Im, G. H., Lee, J. H., & Lee, I. S. (2009) · Angewandte Chemie International Edition · doi:10.1002/anie.200802323 · Cited by 475
Manganese ferrite nanoparticle micellar nanocomposites as MRI contrast agent for liver imaging
Lu, J., Ma, S., Sun, J., Xia, C., Liu, C., Wang, Z., Zhao, X., Gao, F., Gong, Q., Song, B., et al. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2009.02.001 · Cited by 359
MRI Contrast Agents: Current Status and Future Perspectives
Strijkers, G. J., M. Mulder, W. J., F. van Tilborg, G. A., & Nicolay, K. (2007) · Anti-Cancer Agents in Medicinal Chemistry · doi:10.2174/187152007780618135 · Cited by 275
Manganese exposure, essentiality & toxicity.
Santamaria, A. B. (2008) · PubMed · Cited by 218
Paramagnetic contrast agents in nuclear magnetic resonance medical imaging
Mendonça-Dias, M. H., Gaggelli, E., & Lauterbur, P. C. (1983) · Seminars in Nuclear Medicine · doi:10.1016/s0001-2998(83)80048-8 · Cited by 202
Cited by
Sun, X., Zhang, Y., Li, J., Park, K. S., Han, K., Zhou, X., Xu, Y., Nam, J., Xu, J., Shi, X., et al. (2021) · Nature Nanotechnology · doi:10.1038/s41565-021-00962-9 · Cited by 788
Li, B., Gu, Z., Kurniawan, N., Chen, W., & Xu, Z. P. (2017) · Advanced Materials · doi:10.1002/adma.201700373 · Cited by 258
Manganese-loaded lipid-micellar theranostics for simultaneous drug and gene delivery to lungs
Howell, M., Mallela, J., Wang, C., Ravi, S., Dixit, S., Garapati, U., & Mohapatra, S. (2013) · Journal of Controlled Release · doi:10.1016/j.jconrel.2013.01.029 · Cited by 65
Feng, Q., Che, L., Li, C., Zhan, J., Li, B., Wang, L., Chen, S., Zhou, X., Song, D., & He, C. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202500320 · Cited by 16
Metadata
- Authors
- Pan, D., Schmieder, A. H., Wickline, S. A., & Lanza, G. M.
- Venue
- Tetrahedron
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 67
- Issue
- 44
- Pages
- 8431-8444
- ISSN
- 0040-4020 (ISSN-L)
- OpenAlex
- W1969043349
- Cited by
- 419
- References
- 38
- FWCI
- 5.58
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Manganese-based MRI contrast agents: past, present, and future. https://app.cochat.ai/papers/10.1016/j.tet.2011.07.076
- The paper
- Pan, D., Schmieder, A. H., Wickline, S. A., & Lanza, G. M. (2011). Manganese-based MRI contrast agents: past, present, and future. Tetrahedron. https://doi.org/10.1016/j.tet.2011.07.076
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.
