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Cited by in F6Publishing
For: Berner D, Brehm W, Gerlach K, Offhaus J, Scharner D, Burk J. Variation in the MRI signal intensity of naturally occurring equine superficial digital flexor tendinopathies over a 12-month period. Vet Rec 2020;187:e53. [PMID: 32690762 DOI: 10.1136/vr.105800] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Doll CU, Bohner M, Berner D, Buettner K, Horstmeier C, Winter K, Burk J. Approaches to standardising the magnetic resonance image analysis of equine tendon lesions. Vet Rec Open 2023;10:e257. [PMID: 36846276 DOI: 10.1002/vro2.57] [Reference Citation Analysis]
2 Doll CU, von Pueckler K, Offhaus J, Berner D, Burk J. Characterization of Equine Chronic Tendon Lesions in Low- and High-Field Magnetic Resonance Imaging. Veterinary Sciences 2022;9:297. [DOI: 10.3390/vetsci9060297] [Reference Citation Analysis]
3 Doll CU, Niebert S, Burk J. Mesenchymal Stromal Cells Adapt to Chronic Tendon Disease Environment with an Initial Reduction in Matrix Remodeling. Int J Mol Sci 2021;22:12798. [PMID: 34884602 DOI: 10.3390/ijms222312798] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
4 Ehrle A, Lilge S, Clegg PD, Maddox TW. Equine flexor tendon imaging part 2: Current status and future directions in advanced diagnostic imaging, with focus on the deep digital flexor tendon. Vet J 2021;278:105763. [PMID: 34678501 DOI: 10.1016/j.tvjl.2021.105763] [Reference Citation Analysis]
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