Year |
Citation |
Score |
2022 |
Cohen AA, Ferrucci L, Fülöp T, Gravel D, Hao N, Kriete A, Levine ME, Lipsitz LA, Olde Rikkert MGM, Rutenberg A, Stroustrup N, Varadhan R. A complex systems approach to aging biology. Nature Aging. 2: 580-591. PMID 37117782 DOI: 10.1038/s43587-022-00252-6 |
0.387 |
|
2020 |
Malamon JS, Kriete A. Erosion of Gene Co-expression Networks Reveal Deregulation of Immune System Processes in Late-Onset Alzheimer's Disease. Frontiers in Neuroscience. 14: 228. PMID 32265636 DOI: 10.3389/Fnins.2020.00228 |
0.402 |
|
2019 |
Malamon JS, Kriete A. P4-477: Combined Genome-Wide Network Analysis Reveals Perturbations To Immune System, Synaptic And Hippo Signaling In Association With Cognitive Decline In Late-Onset Alzheimer'S Disease Alzheimers & Dementia. 15. DOI: 10.1016/J.Jalz.2019.08.023 |
0.316 |
|
2018 |
Malamon JS, Kriete A. Integrated Systems Approach Reveals Sphingolipid Metabolism Pathway Dysregulation in Association with Late-Onset Alzheimer's Disease. Biology. 7. PMID 29425116 DOI: 10.3390/Biology7010016 |
0.447 |
|
2018 |
Alfego D, Rodeck U, Kriete A. Global mapping of transcription factor motifs in human aging. Plos One. 13: e0190457. PMID 29293662 DOI: 10.1371/Journal.Pone.0190457 |
0.502 |
|
2017 |
Alfego D, Kriete A. Simulation of Cellular Energy Restriction in Quiescence (ERiQ)-A Theoretical Model for Aging. Biology. 6. PMID 29231906 DOI: 10.3390/Biology6040044 |
0.552 |
|
2016 |
Yalamanchili N, Kriete A, Alfego D, Danowski KM, Kari C, Rodeck U. Distinct Cell Stress Responses Induced by ATP Restriction in Quiescent Human Fibroblasts. Frontiers in Genetics. 7: 171. PMID 27757122 DOI: 10.3389/Fgene.2016.00171 |
0.682 |
|
2014 |
Kriete A, Noguchi E, Sell C. Introductory review of computational cell cycle modeling. Methods in Molecular Biology (Clifton, N.J.). 1170: 267-75. PMID 24906317 DOI: 10.1007/978-1-4939-0888-2_12 |
0.359 |
|
2013 |
Lan Y, Kriete A, Rosen GL. Selecting age-related functional characteristics in the human gut microbiome. Microbiome. 1: 2. PMID 24467949 DOI: 10.1186/2049-2618-1-2 |
0.328 |
|
2013 |
Kriete A. Robustness and aging--a systems-level perspective. Bio Systems. 112: 37-48. PMID 23562399 DOI: 10.1016/J.Biosystems.2013.03.014 |
0.461 |
|
2012 |
Jazwinski SM, Kriete A. The yeast retrograde response as a model of intracellular signaling of mitochondrial dysfunction. Frontiers in Physiology. 3: 139. PMID 22629248 DOI: 10.3389/Fphys.2012.00139 |
0.501 |
|
2011 |
Kriete A, Lechner M, Clearfield D, Bohmann D. Computational systems biology of aging. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. 3: 414-28. PMID 21197651 DOI: 10.1002/Wsbm.126 |
0.499 |
|
2010 |
Srinivasan V, Kriete A, Sacan A, Jazwinski SM. Comparing the yeast retrograde response and NF-κB stress responses: implications for aging. Aging Cell. 9: 933-41. PMID 20961379 DOI: 10.1111/J.1474-9726.2010.00622.X |
0.43 |
|
2010 |
Kriete A, Bosl WJ, Booker G. Rule-based cell systems model of aging using feedback loop motifs mediated by stress responses. Plos Computational Biology. 6: e1000820. PMID 20585546 DOI: 10.1371/Journal.Pcbi.1000820 |
0.616 |
|
2009 |
Kriete A, Mayo KL. Atypical pathways of NF-kappaB activation and aging. Experimental Gerontology. 44: 250-5. PMID 19174186 DOI: 10.1016/J.Exger.2008.12.005 |
0.464 |
|
2008 |
Kriete A, Mayo KL, Yalamanchili N, Beggs W, Bender P, Kari C, Rodeck U. Cell autonomous expression of inflammatory genes in biologically aged fibroblasts associated with elevated NF-kappaB activity. Immunity & Ageing : I & A. 5: 5. PMID 18631391 DOI: 10.1186/1742-4933-5-5 |
0.672 |
|
2006 |
Yalamanchili N, Zak DE, Ogunnaike BA, Schwaber JS, Kriete A, Kholodenko BN. Quantifying gene network connectivity in silico: scalability and accuracy of a modular approach. Systems Biology. 153: 236-46. PMID 16986625 DOI: 10.1049/ip-syb:20050090 |
0.674 |
|
2006 |
Kriete A, Sokhansanj BA, Coppock DL, West GB. Systems approaches to the networks of aging. Ageing Research Reviews. 5: 434-48. PMID 16904954 DOI: 10.1016/J.Arr.2006.06.002 |
0.513 |
|
2006 |
Kriete A, Boyce K, Love B. System-wide analysis of hepatotoxicological responses: tissomics is key. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 69: 612-9. PMID 16680687 DOI: 10.1002/Cyto.A.20282 |
0.344 |
|
2006 |
Kriete A. Bridging biological scales by state-space analysis and modeling using molecular, tissue cytometric and physiological data. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 69: 113-6. PMID 16479594 DOI: 10.1002/Cyto.A.20226 |
0.346 |
|
2006 |
Kriete A. Biomarkers of aging: combinatorial or systems model? Science of Aging Knowledge Environment : Sage Ke. 2006: pe1. PMID 16397064 DOI: 10.1126/Sageke.2006.1.Pe1 |
0.469 |
|
2005 |
Boyce K, Kriete A, Nagatomi S, Kelder B, Coschigano K, Kopchick JJ. Phenotypical enrichment strategies for microarray data analysis applied in a type II diabetes study. Omics : a Journal of Integrative Biology. 9: 251-65. PMID 16209639 DOI: 10.1089/Omi.2005.9.251 |
0.306 |
|
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