 Connection
Angelo D'Alessandro to Metabolic Networks and Pathways
This is a "connection" page, showing publications Angelo D'Alessandro has written about Metabolic Networks and Pathways.
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Connection Strength |
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0.564 |
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Morrison EJ, Champagne DP, Dzieciatkowska M, Nemkov T, Zimring JC, Hansen KC, Guan F, Huffman DM, Santambrogio L, D'Alessandro A. Parabiosis Incompletely Reverses Aging-Induced Metabolic Changes and Oxidant Stress in Mouse Red Blood Cells. Nutrients. 2019 Jun 14; 11(6).
Score: 0.152
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Culp-Hill R, Reisz JA, Hansen KC, D'Alessandro A. Investigation of the effects of storage and freezing on mixes of heavy-labeled metabolite and amino acid standards. Rapid Commun Mass Spectrom. 2017 Dec 15; 31(23):2030-2034.
Score: 0.137
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D'Alessandro A, Gevi F, Zolla L. A robust high resolution reversed-phase HPLC strategy to investigate various metabolic species in different biological models. Mol Biosyst. 2011 Apr; 7(4):1024-32.
Score: 0.085
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Bassett S, Ding Y, Roy MK, Reisz JA, D'Alessandro A, Nagpal P, Chatterjee A. Light-Driven Metabolic Pathways in Non-Photosynthetic Biohybrid Bacteria. Chembiochem. 2024 01 15; 25(2):e202300572.
Score: 0.052
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Alexander K, Hazegh K, Fang F, Sinchar D, Kiss JE, Page GP, D'Alessandro A, Kanias T. Testosterone replacement therapy in blood donors modulates erythrocyte metabolism and susceptibility to hemolysis in cold storage. Transfusion. 2021 01; 61(1):108-123.
Score: 0.042
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Janssen WJ, Danhorn T, Harris C, Mould KJ, Lee FF, Hedin BR, D'Alessandro A, Leach SM, Alper S. Inflammation-Induced Alternative Pre-mRNA Splicing in Mouse Alveolar Macrophages. G3 (Bethesda). 2020 02 06; 10(2):555-567.
Score: 0.040
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Nemkov T, D'Alessandro A, Reisz JA. Metabolic underpinnings of leukemia pathology and treatment. Cancer Rep (Hoboken). 2019 04; 2(2):e1139.
Score: 0.036
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Timperio AM, D'Alessandro A, Pariset L, D'Amici GM, Valentini A, Zolla L. Comparative proteomics and transcriptomics analyses of livers from two different Bos taurus breeds: "Chianina and Holstein Friesian". J Proteomics. 2009 Dec 01; 73(2):309-22.
Score: 0.019
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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