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For: Baues M, Klinkhammer BM, Ehling J, Gremse F, van Zandvoort MAMJ, Reutelingsperger CPM, Daniel C, Amann K, Bábíčková J, Kiessling F, Floege J, Lammers T, Boor P. A collagen-binding protein enables molecular imaging of kidney fibrosis in vivo. Kidney Int 2020;97:609-14. [PMID: 31784048 DOI: 10.1016/j.kint.2019.08.029] [Cited by in Crossref: 12] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Hirakawa Y, Nangaku M. Visualizing fibrosis-hope for ideal markers beyond imaging. Kidney Int 2020;97:437-8. [PMID: 32087883 DOI: 10.1016/j.kint.2019.11.029] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Stumpf J, Hugo C. The scar that never felt a wound. Kidney Int 2020;97:460-2. [PMID: 32087889 DOI: 10.1016/j.kint.2019.10.006] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
3 Hysi E, Yuen DA. Imaging of renal fibrosis. Curr Opin Nephrol Hypertens 2020;29:599-607. [PMID: 33009130 DOI: 10.1097/MNH.0000000000000650] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Ortiz A. PDGFR-β and kidney fibrosis. EMBO Mol Med 2020;12:e11729. [PMID: 32072759 DOI: 10.15252/emmm.201911729] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Bülow RD, Dimitrov D, Boor P, Saez-Rodriguez J. How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade? Semin Immunopathol 2021. [PMID: 33835214 DOI: 10.1007/s00281-021-00847-y] [Reference Citation Analysis]
6 Yuan H, Liang H, Hou P, Li J. Advanced Nanomaterials for Multimodal Molecular Imaging. Chem Res Chin Univ 2021;37:840-5. [DOI: 10.1007/s40242-021-1196-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Conen P, Pennetta F, Dendl K, Hertel F, Vogg A, Haberkorn U, Giesel FL, Mottaghy FM. [68 Ga]Ga-FAPI uptake correlates with the state of chronic kidney disease. Eur J Nucl Med Mol Imaging 2022. [PMID: 34988624 DOI: 10.1007/s00259-021-05660-1] [Reference Citation Analysis]
8 Srivastava A, Tomar B, Prajapati S, Gaikwad AB, Mulay SR. Advanced non-invasive diagnostic techniques for visualization and estimation of kidney fibrosis. Drug Discov Today 2021;26:2053-63. [PMID: 33617976 DOI: 10.1016/j.drudis.2021.02.016] [Reference Citation Analysis]
9 Sofias AM, De Lorenzi F, Peña Q, Azadkhah Shalmani A, Vucur M, Wang JW, Kiessling F, Shi Y, Consolino L, Storm G, Lammers T. Therapeutic and diagnostic targeting of fibrosis in metabolic, proliferative and viral disorders. Adv Drug Deliv Rev 2021;175:113831. [PMID: 34139255 DOI: 10.1016/j.addr.2021.113831] [Reference Citation Analysis]
10 Bouteldja N, Klinkhammer BM, Bülow RD, Droste P, Otten SW, Freifrau von Stillfried S, Moellmann J, Sheehan SM, Korstanje R, Menzel S, Bankhead P, Mietsch M, Drummer C, Lehrke M, Kramann R, Floege J, Boor P, Merhof D. Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology. J Am Soc Nephrol 2021;32:52-68. [PMID: 33154175 DOI: 10.1681/ASN.2020050597] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 3.5] [Reference Citation Analysis]
11 Tan L, Deng X, Lai X, Zeng T, Li A, Hu J, Xiong Z. Mesoscale nanoparticles encapsulated with emodin for targeting antifibrosis in animal models. Open Chemistry 2020;18:1207-16. [DOI: 10.1515/chem-2020-0163] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]