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For: Loew A, Köhnke T, Rehbeil E, Pietzner A, Weylandt KH. A Role for Lipid Mediators in Acute Myeloid Leukemia. Int J Mol Sci 2019;20:E2425. [PMID: 31100828 DOI: 10.3390/ijms20102425] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Pienkowski T, Kowalczyk T, Garcia-Romero N, Ayuso-Sacido A, Ciborowski M. Proteomics and metabolomics approach in adult and pediatric glioma diagnostics. Biochim Biophys Acta Rev Cancer 2022;:188721. [PMID: 35304294 DOI: 10.1016/j.bbcan.2022.188721] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Xiang W, Lam YH, Periyasamy G, Chuah C. Application of High Throughput Technologies in the Development of Acute Myeloid Leukemia Therapy: Challenges and Progress. IJMS 2022;23:2863. [DOI: 10.3390/ijms23052863] [Reference Citation Analysis]
3 Liang H, Cheng X, Dong S, Wang H, Liu E, Ru Y, Li Y, Kong X, Gao Y. Rapid and non-invasive discrimination of acute leukemia bone marrow supernatants by Raman spectroscopy and multivariate statistical analysis. J Pharm Biomed Anal 2021;210:114560. [PMID: 34999436 DOI: 10.1016/j.jpba.2021.114560] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Giannattasio S, Dri M, Merra G, Caparello G, Rampello T, Di Renzo L. Effects of Fatty Acids on Hematological Neoplasms: A Mini Review. Nutr Cancer 2021;:1-11. [PMID: 34355630 DOI: 10.1080/01635581.2021.1960389] [Reference Citation Analysis]
5 Monferrer E, Vieco-Martí I, López-Carrasco A, Fariñas F, Abanades S, de la Cruz-Merino L, Noguera R, Álvaro Naranjo T. Metabolic Classification and Intervention Opportunities for Tumor Energy Dysfunction. Metabolites 2021;11:264. [PMID: 33922558 DOI: 10.3390/metabo11050264] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
6 Gomari DP, Schweickart A, Cerchietti L, Paietta E, Fernandez H, Al-amin H, Suhre K, Krumsiek J. Variational autoencoders learn universal latent representations of metabolomics data.. [DOI: 10.1101/2021.01.14.426721] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
7 Poulaki A, Katsila T, Stergiou IE, Giannouli S, Gόmez-Tamayo JC, Piperaki ET, Kambas K, Dimitrakopoulou A, Patrinos GP, Tzioufas AG, Voulgarelis M. Bioenergetic Profiling of the Differentiating Human MDS Myeloid Lineage with Low and High Bone Marrow Blast Counts. Cancers (Basel) 2020;12:E3520. [PMID: 33255926 DOI: 10.3390/cancers12123520] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.7] [Reference Citation Analysis]
8 Gil-de-Gómez L, Balgoma D, Montero O. Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer. Metabolites 2020;10:E332. [PMID: 32824009 DOI: 10.3390/metabo10080332] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
9 Yan Y, Li X, Gao J. Identification of A-kinase interacting protein 1 as a potential biomarker for risk and prognosis of acute myeloid leukemia. J Clin Lab Anal 2020;34:e23055. [PMID: 32356617 DOI: 10.1002/jcla.23055] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
10 Mendez LM, Posey RR, Pandolfi PP. The Interplay Between the Genetic and Immune Landscapes of AML: Mechanisms and Implications for Risk Stratification and Therapy. Front Oncol 2019;9:1162. [PMID: 31781488 DOI: 10.3389/fonc.2019.01162] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 4.8] [Reference Citation Analysis]
11 Montrose DC, Galluzzi L. Drugging cancer metabolism: Expectations vs. reality. Int Rev Cell Mol Biol 2019;347:1-26. [PMID: 31451211 DOI: 10.1016/bs.ircmb.2019.07.007] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 4.0] [Reference Citation Analysis]
12 Touboul D, Ollero M. Lipidomics Conquers a Niche, Consolidates Growth. Int J Mol Sci 2019;20:E3188. [PMID: 31261848 DOI: 10.3390/ijms20133188] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]