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For: Hebels DG, Carlier A, Coonen ML, Theunissen DH, de Boer J. cBiT: A transcriptomics database for innovative biomaterial engineering. Biomaterials 2017;149:88-97. [DOI: 10.1016/j.biomaterials.2017.10.008] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Bow AJ, Rifkin RE, Priester C, Christopher CJ, Grzeskowiak RM, Hecht S, Adair SH, Mulon PY, Castro HF, Campagna SR, Anderson DE. Temporal metabolic profiling of bone healing in a caprine tibia segmental defect model. Front Vet Sci 2022;9:1023650. [PMID: 36733424 DOI: 10.3389/fvets.2022.1023650] [Reference Citation Analysis]
2 Basu B, Gowtham NH, Xiao Y, Kalidindi SR, Leong KW. Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials. Acta Biomater 2022;143:1-25. [PMID: 35202854 DOI: 10.1016/j.actbio.2022.02.027] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
3 Van de Vyver T, De Smedt SC, Raemdonck K. Modulating intracellular pathways to improve non-viral delivery of RNA therapeutics. Adv Drug Deliv Rev 2022;181:114041. [PMID: 34763002 DOI: 10.1016/j.addr.2021.114041] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
4 Azami M, Beheshtizadeh N. Identification of regeneration-involved growth factors in cartilage engineering procedure promotes its reconstruction. Regen Med 2021;16:719-31. [PMID: 34287065 DOI: 10.2217/rme-2021-0028] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Beheshtizadeh N, Asgari Y, Nasiri N, Farzin A, Ghorbani M, Lotfibakhshaiesh N, Azami M. A network analysis of angiogenesis/osteogenesis-related growth factors in bone tissue engineering based on in-vitro and in-vivo data: A systems biology approach. Tissue Cell 2021;72:101553. [PMID: 33975231 DOI: 10.1016/j.tice.2021.101553] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
6 Yang L, Pijuan-Galito S, Rho HS, Vasilevich AS, Eren AD, Ge L, Habibović P, Alexander MR, de Boer J, Carlier A, van Rijn P, Zhou Q. High-Throughput Methods in the Discovery and Study of Biomaterials and Materiobiology. Chem Rev 2021;121:4561-677. [PMID: 33705116 DOI: 10.1021/acs.chemrev.0c00752] [Cited by in Crossref: 50] [Cited by in F6Publishing: 52] [Article Influence: 25.0] [Reference Citation Analysis]
7 Coppari S, Ramakrishna S, Teodori L, Albertini MC. Cell signalling and biomaterials have a symbiotic relationship as demonstrated by a bioinformatics study: The role of surface topography. Current Opinion in Biomedical Engineering 2021;17:100246. [DOI: 10.1016/j.cobme.2020.09.002] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
8 Vasilevich AS, Vermeulen S, Kamphuis M, Roumans N, Eroumé S, Hebels DGAJ, van de Peppel J, Reihs R, Beijer NRM, Carlier A, Carpenter AE, Singh S, de Boer J. On the correlation between material-induced cell shape and phenotypical response of human mesenchymal stem cells. Sci Rep 2020;10:18988. [PMID: 33149200 DOI: 10.1038/s41598-020-76019-z] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
9 Komorowski P, Siatkowska M, Kamińska M, Jakubowski W, Walczyńska M, Walkowiak-Przybyło M, Szymański W, Piersa K, Wielowski P, Sokołowska P, Białkowska K, Makowski K, Elgalal M, Kierzkowska A, Ciupik L, Walkowiak B. Comprehensive Biological Evaluation of Biomaterials Used in Spinal and Orthopedic Surgery. Materials (Basel) 2020;13:E4769. [PMID: 33114571 DOI: 10.3390/ma13214769] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
10 Hakimi O, Gelpi JL, Krallinger M, Curi F, Repchevsky D, Ginebra M. The Devices, Experimental Scaffolds, and Biomaterials Ontology (DEB): A Tool for Mapping, Annotation, and Analysis of Biomaterials Data. Adv Funct Mater 2020;30:1909910. [DOI: 10.1002/adfm.201909910] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
11 Kühn S, Sievers J, Stoppa A, Träber N, Zimmermann R, Welzel PB, Werner C. Cell‐Instructive Multiphasic Gel‐in‐Gel Materials. Adv Funct Mater 2020;30:1908857. [DOI: 10.1002/adfm.201908857] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 6.3] [Reference Citation Analysis]
12 Paunovska K, Loughrey D, Sago CD, Langer R, Dahlman JE. Using Large Datasets to Understand Nanotechnology. Adv Mater 2019;31:e1902798. [PMID: 31429126 DOI: 10.1002/adma.201902798] [Cited by in Crossref: 33] [Cited by in F6Publishing: 34] [Article Influence: 8.3] [Reference Citation Analysis]
13 Steier A, Muñiz A, Neale D, Lahann J. Emerging Trends in Information-Driven Engineering of Complex Biological Systems. Adv Mater 2019;31:e1806898. [PMID: 30957921 DOI: 10.1002/adma.201806898] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
14 Mir TA, Iwanaga S, Kurooka T, Toda H, Sakai S, Nakamura M. Biofabrication offers future hope for tackling various obstacles and challenges in tissue engineering and regenerative medicine: A Perspective. Int J Bioprint 2019;5:153. [PMID: 32596529 DOI: 10.18063/ijb.v5i1.153] [Cited by in Crossref: 4] [Cited by in F6Publishing: 9] [Article Influence: 0.8] [Reference Citation Analysis]
15 Geris L, Lambrechts T, Carlier A, Papantoniou I. The future is digital: In silico tissue engineering. Current Opinion in Biomedical Engineering 2018;6:92-8. [DOI: 10.1016/j.cobme.2018.04.001] [Cited by in Crossref: 28] [Cited by in F6Publishing: 28] [Article Influence: 5.6] [Reference Citation Analysis]
16 Vasilevich A, de Boer J. Robot-scientists will lead tomorrow's biomaterials discovery. Current Opinion in Biomedical Engineering 2018;6:74-80. [DOI: 10.1016/j.cobme.2018.03.005] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]