BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Menon MC, Keung KL, Murphy B, OʼConnell PJ. The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury. Transplantation 2016;100:1405-14. [PMID: 26447506 DOI: 10.1097/TP.0000000000000943] [Cited by in Crossref: 20] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Malone AF, Humphreys BD. Single-cell Transcriptomics and Solid Organ Transplantation. Transplantation 2019;103:1776-82. [PMID: 30946217 DOI: 10.1097/TP.0000000000002725] [Cited by in Crossref: 9] [Cited by in F6Publishing: 3] [Article Influence: 4.5] [Reference Citation Analysis]
2 Kurian SM, Velazquez E, Thompson R, Whisenant T, Rose S, Riley N, Harrison F, Gelbart T, Friedewald JJ, Charette J, Brietigam S, Peysakhovich J, First MR, Abecassis MM, Salomon DR. Orthogonal Comparison of Molecular Signatures of Kidney Transplants With Subclinical and Clinical Acute Rejection: Equivalent Performance Is Agnostic to Both Technology and Platform. Am J Transplant 2017;17:2103-16. [PMID: 28188669 DOI: 10.1111/ajt.14224] [Cited by in Crossref: 23] [Cited by in F6Publishing: 21] [Article Influence: 4.6] [Reference Citation Analysis]
3 Crowley LE, Mekki M, Chand S. Biomarkers and Pharmacogenomics in Kidney Transplantation. Mol Diagn Ther 2018;22:537-50. [PMID: 29971647 DOI: 10.1007/s40291-018-0349-5] [Cited by in Crossref: 2] [Article Influence: 0.5] [Reference Citation Analysis]
4 Teng L, Shen L, Zhao W, Wang C, Feng S, Wang Y, Bi Y, Rong S, Shushakova N, Haller H, Chen J, Jiang H. SLAMF8 Participates in Acute Renal Transplant Rejection via TLR4 Pathway on Pro-Inflammatory Macrophages. Front Immunol 2022;13:846695. [DOI: 10.3389/fimmu.2022.846695] [Reference Citation Analysis]
5 Menon MC, Murphy B, Heeger PS. Moving Biomarkers toward Clinical Implementation in Kidney Transplantation. J Am Soc Nephrol 2017;28:735-47. [PMID: 28062570 DOI: 10.1681/ASN.2016080858] [Cited by in Crossref: 28] [Cited by in F6Publishing: 18] [Article Influence: 5.6] [Reference Citation Analysis]
6 Yi Z, Keung KL, Li L, Hu M, Lu B, Nicholson L, Jimenez-Vera E, Menon MC, Wei C, Alexander S, Murphy B, O'Connell PJ, Zhang W. Key driver genes as potential therapeutic targets in renal allograft rejection. JCI Insight 2020;5:136220. [PMID: 32634125 DOI: 10.1172/jci.insight.136220] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Wang Y, Wang JY, Schnieke A, Fischer K. Advances in single-cell sequencing: insights from organ transplantation. Mil Med Res 2021;8:45. [PMID: 34389057 DOI: 10.1186/s40779-021-00336-1] [Reference Citation Analysis]
8 Milhoransa P, Montanari CC, Montenegro R, Manfro RC. Micro RNA 146a-5p expression in Kidney transplant recipients with delayed graft function. J Bras Nefrol 2019;41:242-51. [PMID: 30421783 DOI: 10.1590/2175-8239-jbn-2018-0098] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
9 Jin Z, Zhang J, Wu X, Cao G. Metabolomics study of the therapeutic mechanism of a Chinese herbal formula on collagen-induced arthritis mice. RSC Adv 2019;9:3716-25. [DOI: 10.1039/c8ra05528a] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
10 Li L, Greene I, Readhead B, Menon MC, Kidd BA, Uzilov AV, Wei C, Philippe N, Schroppel B, He JC. Novel Therapeutics Identification for Fibrosis in Renal Allograft Using Integrative Informatics Approach. Sci Rep. 2017;7:39487. [PMID: 28051114 DOI: 10.1038/srep39487] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 3.0] [Reference Citation Analysis]
11 Wohlfahrtova M, Hruba P, Klema J, Novotny M, Krejcik Z, Stranecky V, Honsova E, Vichova P, Viklicky O. Early isolated V-lesion may not truly represent rejection of the kidney allograft. Clin Sci (Lond) 2018;132:2269-84. [PMID: 30287520 DOI: 10.1042/CS20180745] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
12 Mota-Zamorano S, González LM, Luna E, Fernández JJ, Gómez Á, Nieto-Fernández A, Robles NR, Gervasini G. Polymorphisms in vasoactive eicosanoid genes of kidney donors affect biopsy scores and clinical outcomes in renal transplantation. PLoS One 2019;14:e0224129. [PMID: 31622444 DOI: 10.1371/journal.pone.0224129] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]