 Connection
Qiang Fu to Tissue Engineering
This is a "connection" page, showing publications Qiang Fu has written about Tissue Engineering.
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Connection Strength |
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1.383 |
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Jin Y, Yang M, Zhao W, Liu M, Fang W, Wang Y, Gao G, Wang Y, Fu Q. Scaffold-based tissue engineering strategies for urethral repair and reconstruction. Biofabrication. 2024 Nov 01; 17(1).
Score: 0.868
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Zhang K, Fu Q, Yoo J, Chen X, Chandra P, Mo X, Song L, Atala A, Zhao W. 3D bioprinting of urethra with PCL/PLCL blend and dual autologous cells in fibrin hydrogel: An in vitro evaluation of biomimetic mechanical property and cell growth environment. Acta Biomater. 2017 03 01; 50:154-164.
Score: 0.126
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Zhang K, Guo X, Li Y, Fu Q, Mo X, Nelson K, Zhao W. Electrospun nanoyarn seeded with myoblasts induced from placental stem cells for the application of stress urinary incontinence sling: An in vitro study. Colloids Surf B Biointerfaces. 2016 Aug 01; 144:21-32.
Score: 0.120
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Huang JW, Xu YM, Li ZB, Murphy SV, Zhao W, Liu QQ, Zhu WD, Fu Q, Zhang YP, Song LJ. Tissue performance of bladder following stretched electrospun silk fibroin matrix and bladder acellular matrix implantation in a rabbit model. J Biomed Mater Res A. 2016 Jan; 104(1):9-16.
Score: 0.114
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Yang M, Zuo M, Yang R, Zhang K, Jia R, Yin B, Wang Y, Liu M, Fang W, Guo H, Jin Y, Fu Q, Zhang K. Dynamically urethra-adapted and obligations-oriented trilayer hydrogels integrate scarless urethral repair. Nat Commun. 2025 Aug 08; 16(1):7333.
Score: 0.057
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Yang Y, Sun W, Fu Q, Wang Z, Zhao H, Wang Z, Gao Y, Wang J. Fabrication and evaluation of Zn-EGCG-loaded chitosan scaffolds for bone regeneration: From cellular responses to in vivo performance. Int J Biol Macromol. 2024 Dec; 283(Pt 4):137695.
Score: 0.054
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Wang L, Cheng W, Zhu J, Li W, Li D, Yang X, Zhao W, Ren M, Ren J, Mo X, Fu Q, Zhang K. Electrospun nanoyarn and exosomes of adipose-derived stem cells for urethral regeneration: Evaluations in vitro and in vivo. Colloids Surf B Biointerfaces. 2022 Jan; 209(Pt 2):112218.
Score: 0.044
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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