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For: Shrivastava A, Haase T, Zeller T, Schulte C. Biomarkers for Heart Failure Prognosis: Proteins, Genetic Scores and Non-coding RNAs. Front Cardiovasc Med 2020;7:601364. [PMID: 33330662 DOI: 10.3389/fcvm.2020.601364] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 5.7] [Reference Citation Analysis]
Number Citing Articles
1 Gao S, Zhou R, Samanta S, Qu J, Ohulchanskyy TY. Recent advances in plasmon-enhanced luminescence for biosensing and bioimaging. Analytica Chimica Acta 2023. [DOI: 10.1016/j.aca.2023.341086] [Reference Citation Analysis]
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3 Badianyama M, Mpanya D, Adamu U, Sigauke F, Nel S, Tsabedze N. New Biomarkers and Their Potential Role in Heart Failure Treatment Optimisation-An African Perspective. J Cardiovasc Dev Dis 2022;9:335. [PMID: 36286287 DOI: 10.3390/jcdd9100335] [Reference Citation Analysis]
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5 Duygu A, Şehitoğlu H, Kaya H, Arslan M, Akşit E. Kalp yetmezliği hastalarında ödem miktarı ve fonksiyonel kapasite ile annexin V ve ICAM 1 arasındaki ilişki. Troia Med J 2022. [DOI: 10.55665/troiamedj.1119916] [Reference Citation Analysis]
6 Liu X, Gan Y, Li F, Qiu Y, Pan Y, Wan H, Wang P. An Immunocolorimetric Sensing System for Highly Sensitive and High-Throughput Detection of BNP with Carbon-Gold Nanocomposites Amplification. Biosensors 2022;12:619. [DOI: 10.3390/bios12080619] [Reference Citation Analysis]
7 Zhu Y, Peng X, Wu M, Huang H, Li N, Chen Y, Xiao S, Zhang H, Zhou Y, Chen S, Liu Z, Yi L, Peng Y, Fan J, Zeng J. Risk factors of short-term, intermediate-term, and long-term cardiac events in patients hospitalized for HFmrEF. ESC Heart Fail 2022. [PMID: 35751458 DOI: 10.1002/ehf2.14044] [Reference Citation Analysis]
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9 Ahmed MM, Tazyeen S, Ali R, Alam A, Imam N, Malik MZ, Ali S, Ishrat R. Network centrality approaches used to uncover and classify most influential nodes with their related miRNAs in cardiovascular diseases. Gene Reports 2022;27:101555. [DOI: 10.1016/j.genrep.2022.101555] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Zheng Z, Zhu S, Lv M, Gu Z, Hu H. Harnessing nanotechnology for cardiovascular disease applications - a comprehensive review based on bibliometric analysis. Nano Today 2022;44:101453. [DOI: 10.1016/j.nantod.2022.101453] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
11 Yuan M, Ren F, Gao D, Zhou H. The Value of SII in Predicting the Mortality of Patients with Heart Failure. Disease Markers 2022;2022:1-10. [DOI: 10.1155/2022/3455372] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
12 Vignoli A, Fornaro A, Tenori L, Castelli G, Cecconi E, Olivotto I, Marchionni N, Alterini B, Luchinat C. Metabolomics Fingerprint Predicts Risk of Death in Dilated Cardiomyopathy and Heart Failure. Front Cardiovasc Med 2022;9:851905. [DOI: 10.3389/fcvm.2022.851905] [Reference Citation Analysis]
13 Yang G, Song T, Wang M, Li M, Su Q, Xie Z, Xie X, Zhang H, Feng Y, Wu C, Liu Y, Yang H. Recent Advancements in Nanosystem-Based Molecular Beacons for RNA Detection and Imaging. ACS Appl Nano Mater 2022;5:3065-86. [DOI: 10.1021/acsanm.1c03966] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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15 Farani PSG, Ferreira BIS, Gibaldi D, Lannes-Vieira J, Moreira OC. Modulation of miR-145-5p and miR-146b-5p levels is linked to reduced parasite load in H9C2 Trypanosoma cruzi infected cardiomyoblasts. Sci Rep 2022;12:1436. [PMID: 35082354 DOI: 10.1038/s41598-022-05493-4] [Reference Citation Analysis]
16 Anderson KM, Anderson DM. LncRNAs at the heart of development and disease. Mamm Genome 2022. [PMID: 35048139 DOI: 10.1007/s00335-021-09937-6] [Reference Citation Analysis]
17 Xu C, Yu B, Zhao X, Lin X, Tang X, Liu Z, Gao P, Ge J, Wang S, Li L. Valosin Containing Protein as a Specific Biomarker for Predicting the Development of Acute Coronary Syndrome and Its Complication. Front Cardiovasc Med 2022;9:803532. [PMID: 35369356 DOI: 10.3389/fcvm.2022.803532] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
18 Dai Q, Chu Y, Li Z, Zhao Y, Mao X, Wang Y, Xiong Y, Wei DQ. MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information. Comput Biol Med 2021;136:104706. [PMID: 34371319 DOI: 10.1016/j.compbiomed.2021.104706] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
19 Khan P, Ebenezer NS, Siddiqui JA, Maurya SK, Lakshmanan I, Salgia R, Batra SK, Nasser MW. MicroRNA-1: Diverse role of a small player in multiple cancers. Semin Cell Dev Biol 2021:S1084-9521(21)00129-4. [PMID: 34034986 DOI: 10.1016/j.semcdb.2021.05.020] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]