Connection
Angelo D'Alessandro to Metabolomics
This is a "connection" page, showing publications Angelo D'Alessandro has written about Metabolomics.
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Connection Strength |
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15.425 |
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D'Alessandro A. Benford's law and metabolomics: A tale of numbers and blood. Transfus Apher Sci. 2020 Dec; 59(6):103019.
Score: 0.523
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D'Alessandro A, Thomas KA, Stefanoni D, Gamboni F, Shea SM, Reisz JA, Spinella PC. Metabolic phenotypes of standard and cold-stored platelets. Transfusion. 2020 06; 60 Suppl 3:S96-S106.
Score: 0.491
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Moore HB, Culp-Hill R, Reisz JA, Lawson PJ, Sauaia A, Schulick RD, Del Chiaro M, Nydam TL, Moore EE, Hansen KC, D'Alessandro A. The metabolic time line of pancreatic cancer: Opportunities to improve early detection of adenocarcinoma. Am J Surg. 2019 12; 218(6):1206-1212.
Score: 0.480
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D'Alessandro A. From omics technologies to personalized transfusion medicine. Expert Rev Proteomics. 2019 03; 16(3):215-225.
Score: 0.461
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Nemkov T, Reisz JA, Gehrke S, Hansen KC, D'Alessandro A. High-Throughput Metabolomics: Isocratic and Gradient Mass Spectrometry-Based Methods. Methods Mol Biol. 2019; 1978:13-26.
Score: 0.459
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D'Alessandro A, Culp-Hill R, Reisz JA, Anderson M, Fu X, Nemkov T, Gehrke S, Zheng C, Kanias T, Guo Y, Page G, Gladwin MT, Kleinman S, Lanteri M, Stone M, Busch M, Zimring JC. Heterogeneity of blood processing and storage additives in different centers impacts stored red blood cell metabolism as much as storage time: lessons from REDS-III-Omics. Transfusion. 2019 01; 59(1):89-100.
Score: 0.453
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Catala A, Culp-Hill R, Nemkov T, D'Alessandro A. Quantitative metabolomics comparison of traditional blood draws and TAP capillary blood collection. Metabolomics. 2018 07 12; 14(7):100.
Score: 0.444
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Gehrke S, Srinivasan AJ, Culp-Hill R, Reisz JA, Ansari A, Gray A, Landrigan M, Welsby I, D'Alessandro A. Metabolomics evaluation of early-storage red blood cell rejuvenation at 4?C and 37?C. Transfusion. 2018 08; 58(8):1980-1991.
Score: 0.437
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D'Alessandro A, Reisz JA, Culp-Hill R, Korsten H, van Bruggen R, de Korte D. Metabolic effect of alkaline additives and guanosine/gluconate in storage solutions for red blood cells. Transfusion. 2018 08; 58(8):1992-2002.
Score: 0.436
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Clendenen N, D'Alessandro A. High Throughput Metabolomics in Clinical Studies: Review and New Applications to Remote Ischemic Preconditioning. Curr Top Med Chem. 2018; 18(25):2143-2153.
Score: 0.428
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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: 0.427
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Clendenen N, Nunns GR, Moore EE, Reisz JA, Gonzalez E, Peltz E, Silliman CC, Fragoso M, Nemkov T, Wither MJ, Hansen K, Banerjee A, Moore HB, D'Alessandro A. Hemorrhagic shock and tissue injury drive distinct plasma metabolome derangements in swine. J Trauma Acute Care Surg. 2017 10; 83(4):635-642.
Score: 0.420
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Gehrke S, Reisz JA, Nemkov T, Hansen KC, D'Alessandro A. Characterization of rapid extraction protocols for high-throughput metabolomics. Rapid Commun Mass Spectrom. 2017 Sep 15; 31(17):1445-1452.
Score: 0.419
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D'Alessandro A, Moore HB, Moore EE, Reisz JA, Wither MJ, Ghasasbyan A, Chandler J, Silliman CC, Hansen KC, Banerjee A. Plasma succinate is a predictor of mortality in critically injured patients. J Trauma Acute Care Surg. 2017 09; 83(3):491-495.
Score: 0.418
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Reisz JA, D'Alessandro A. Measurement of metabolic fluxes using stable isotope tracers in whole animals and human patients. Curr Opin Clin Nutr Metab Care. 2017 Sep; 20(5):366-374.
Score: 0.418
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Nemkov T, Hansen KC, D'Alessandro A. A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways. Rapid Commun Mass Spectrom. 2017 Apr 30; 31(8):663-673.
Score: 0.408
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D'alessandro A, Nemkov T, Reisz J, Dzieciatkowska M, Wither MJ, Hansen KC. Omics markers of the red cell storage lesion and metabolic linkage. Blood Transfus. 2017 Mar; 15(2):137-144.
Score: 0.404
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D'Alessandro A, Zolla L. Proteomic analysis of red blood cells and the potential for the clinic: what have we learned so far? Expert Rev Proteomics. 2017 03; 14(3):243-252.
Score: 0.403
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D'Alessandro A, Nemkov T, Bogren LK, Martin SL, Hansen KC. Comfortably Numb and Back: Plasma Metabolomics Reveals Biochemical Adaptations in the Hibernating 13-Lined Ground Squirrel. J Proteome Res. 2017 02 03; 16(2):958-969.
Score: 0.399
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Nemkov T, Hansen KC, Dumont LJ, D'Alessandro A. Metabolomics in transfusion medicine. Transfusion. 2016 Apr; 56(4):980-93.
Score: 0.371
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D'Alessandro A, Nemkov T, Hansen KC, Szczepiorkowski ZM, Dumont LJ. Red blood cell storage in additive solution-7 preserves energy and redox metabolism: a metabolomics approach. Transfusion. 2015 Dec; 55(12):2955-66.
Score: 0.363
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D'Alessandro A, Slaughter AL, Peltz ED, Moore EE, Silliman CC, Wither M, Nemkov T, Bacon AW, Fragoso M, Banerjee A, Hansen KC. Trauma/hemorrhagic shock instigates aberrant metabolic flux through glycolytic pathways, as revealed by preliminary (13)C-glucose labeling metabolomics. J Transl Med. 2015 Aug 05; 13:253.
Score: 0.362
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D'Alessandro A, Gevi F, Zolla L. Red blood cell metabolism under prolonged anaerobic storage. Mol Biosyst. 2013 Jun; 9(6):1196-209.
Score: 0.305
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D'Alessandro A, Giardina B, Gevi F, Timperio AM, Zolla L. Clinical metabolomics: the next stage of clinical biochemistry. Blood Transfus. 2012 May; 10 Suppl 2:s19-24.
Score: 0.289
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D'Alessandro A, Federica G, Palini S, Bulletti C, Zolla L. A mass spectrometry-based targeted metabolomics strategy of human blastocoele fluid: a promising tool in fertility research. Mol Biosyst. 2012 Apr; 8(4):953-8.
Score: 0.278
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D'Alessandro A, D'Amici GM, Vaglio S, Zolla L. Time-course investigation of SAGM-stored leukocyte-filtered red bood cell concentrates: from metabolism to proteomics. Haematologica. 2012 Jan; 97(1):107-15.
Score: 0.278
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D'Alessandro A, Zolla L. Metabolomics and cancer drug discovery: let the cells do the talking. Drug Discov Today. 2012 Jan; 17(1-2):3-9.
Score: 0.278
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D'Alessandro A, Marrocco C, Zolla V, D'Andrea M, Zolla L. Meat quality of the longissimus lumborum muscle of Casertana and Large White pigs: metabolomics and proteomics intertwined. J Proteomics. 2011 Dec 21; 75(2):610-27.
Score: 0.276
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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: 0.265
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Nemkov T, Stephenson D, Erickson C, Dzieciatkowska M, Key A, Moore A, Earley EJ, Page GP, Lacroix IS, Stone M, Deng X, Raife T, Kleinman S, Zimring JC, Roubinian N, Hansen KC, Busch MP, Norris PJ, D'Alessandro A. Regulation of kynurenine metabolism by blood donor genetics and biology impacts red cell hemolysis in?vitro and in?vivo. Blood. 2024 02 01; 143(5):456-472.
Score: 0.163
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Skinner SC, Nemkov T, Diaw M, Mbaye MN, Diedhiou D, Sow D, Gueye F, Lopez P, Connes P, D'Alessandro A. Metabolic Profile of Individuals with and without Type 2 Diabetes from Sub-Saharan Africa. J Proteome Res. 2023 07 07; 22(7):2319-2326.
Score: 0.156
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Lima G, Shurlock J, Wang G, Karanikolou A, Sutehall S, Pitsiladis YP, D'Alessandro A. Metabolomic Profiling of Recombinant Erythropoietin (rHuEpo) in Trained Caucasian Athletes. Clin J Sport Med. 2023 09 01; 33(5):e123-e134.
Score: 0.149
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Miglio A, Maslanka M, Di Tommaso M, Rocconi F, Nemkov T, Buehler PW, Antognoni MT, Spitalnik SL, D'Alessandro A. ZOOMICS : comparative metabolomics of red blood cells from dogs, cows, horses and donkeys during refrigerated storage for up to 42 days. Blood Transfus. 2023 07; 21(4):314-326.
Score: 0.147
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D'Alessandro A, Thomas T, Akpan IJ, Reisz JA, Cendali FI, Gamboni F, Nemkov T, Thangaraju K, Katneni U, Tanaka K, Kahn S, Wei AZ, Valk JE, Hudson KE, Roh D, Moriconi C, Zimring JC, Hod EA, Spitalnik SL, Buehler PW, Francis RO. Biological and Clinical Factors Contributing to the Metabolic Heterogeneity of Hospitalized Patients with and without COVID-19. Cells. 2021 09 02; 10(9).
Score: 0.138
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Thomas T, Cendali F, Fu X, Gamboni F, Morrison EJ, Beirne J, Nemkov T, Antonelou MH, Kriebardis A, Welsby I, Hay A, Dziewulska KH, Busch MP, Kleinman S, Buehler PW, Spitalnik SL, Zimring JC, D'Alessandro A. Fatty acid desaturase activity in mature red blood cells and implications for blood storage quality. Transfusion. 2021 06; 61(6):1867-1883.
Score: 0.135
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Nemkov T, Skinner SC, Nader E, Stefanoni D, Robert M, Cendali F, Stauffer E, Cibiel A, Boisson C, Connes P, D'Alessandro A. Acute Cycling Exercise Induces Changes in Red Blood Cell Deformability and Membrane Lipid Remodeling. Int J Mol Sci. 2021 Jan 18; 22(2).
Score: 0.132
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Thomas T, Stefanoni D, Reisz JA, Nemkov T, Bertolone L, Francis RO, Hudson KE, Zimring JC, Hansen KC, Hod EA, Spitalnik SL, D'Alessandro A. COVID-19 infection alters kynurenine and fatty acid metabolism, correlating with IL-6 levels and renal status. JCI Insight. 2020 07 23; 5(14).
Score: 0.128
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D'Alessandro A, Fu X, Reisz JA, Kanias T, Page GP, Stone M, Kleinman S, Zimring JC, Busch M. Stored RBC metabolism as a function of caffeine levels. Transfusion. 2020 06; 60(6):1197-1211.
Score: 0.126
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Bertolone L, Roy MK, Hay AM, Morrison EJ, Stefanoni D, Fu X, Kanias T, Kleinman S, Dumont LJ, Stone M, Nemkov T, Busch MP, Zimring JC, D'Alessandro A. Impact of taurine on red blood cell metabolism and implications for blood storage. Transfusion. 2020 06; 60(6):1212-1226.
Score: 0.126
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Nemkov T, Qadri SM, Sheffield WP, D'Alessandro A. Decoding the metabolic landscape of pathophysiological stress-induced cell death in anucleate red blood cells. Blood Transfus. 2020 03; 18(2):130-142.
Score: 0.124
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Johnson LC, Parker K, Aguirre BF, Nemkov TG, D'Alessandro A, Johnson SA, Seals DR, Martens CR. The plasma metabolome as a predictor of biological aging in humans. Geroscience. 2019 12; 41(6):895-906.
Score: 0.122
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Gehrke S, Shah N, Gamboni F, Kamyszek R, Srinivasan AJ, Gray A, Landrigan M, Welsby I, D'Alessandro A. Metabolic impact of red blood cell exchange with rejuvenated red blood cells in sickle cell patients. Transfusion. 2019 10; 59(10):3102-3112.
Score: 0.119
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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: 0.118
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D'Alessandro A, Hansen KC, Eisenmesser EZ, Zimring JC. Protect, repair, destroy or sacrifice: a role of oxidative stress biology in inter-donor variability of blood storage? Blood Transfus. 2019 07; 17(4):281-288.
Score: 0.118
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Reisz JA, Zheng C, D'Alessandro A, Nemkov T. Untargeted and Semi-targeted Lipid Analysis of Biological Samples Using Mass Spectrometry-Based Metabolomics. Methods Mol Biol. 2019; 1978:121-135.
Score: 0.115
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Culp-Hill R, Srinivasan AJ, Gehrke S, Kamyszek R, Ansari A, Shah N, Welsby I, D'Alessandro A. Effects of red blood cell (RBC) transfusion on sickle cell disease recipient plasma and RBC metabolism. Transfusion. 2018 12; 58(12):2797-2806.
Score: 0.113
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Haines NR, Manoharan N, Olson JL, D'Alessandro A, Reisz JA. Metabolomics Analysis of Human Vitreous in Diabetic Retinopathy and Rhegmatogenous Retinal Detachment. J Proteome Res. 2018 07 06; 17(7):2421-2427.
Score: 0.110
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Slaughter AL, Nunns GR, D'Alessandro A, Banerjee A, Hansen KC, Moore EE, Silliman CC, Nemkov T, Moore HB, Fragoso M, Leasia K, Peltz ED. The Metabolopathy of Tissue Injury, Hemorrhagic Shock, and Resuscitation in a Rat Model. Shock. 2018 05; 49(5):580-590.
Score: 0.109
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D'Alessandro A, Dzieciatkowska M, Nemkov T, Hansen KC. Red blood cell proteomics update: is there more to discover? Blood Transfus. 2017 03; 15(2):182-187.
Score: 0.101
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Reisz JA, Wither MJ, Dzieciatkowska M, Nemkov T, Issaian A, Yoshida T, Dunham AJ, Hill RC, Hansen KC, D'Alessandro A. Oxidative modifications of glyceraldehyde 3-phosphate dehydrogenase regulate metabolic reprogramming of stored red blood cells. Blood. 2016 09 22; 128(12):e32-42.
Score: 0.097
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D'alessandro A, Nemkov T, Moore HB, Moore EE, Wither M, Nydam T, Slaughter A, Silliman CC, Banerjee A, Hansen KC. Metabolomics of trauma-associated death: shared and fluid-specific features of human plasma vs lymph. Blood Transfus. 2016 05; 14(2):185-94.
Score: 0.095
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D'Alessandro A, Moore HB, Moore EE, Wither M, Nemkov T, Gonzalez E, Slaughter A, Fragoso M, Hansen KC, Silliman CC, Banerjee A. Early hemorrhage triggers metabolic responses that build up during prolonged shock. Am J Physiol Regul Integr Comp Physiol. 2015 Jun 15; 308(12):R1034-44.
Score: 0.089
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Peltz ED, D'Alessandro A, Moore EE, Chin T, Silliman CC, Sauaia A, Hansen KC, Banerjee A. Pathologic metabolism: an exploratory study of the plasma metabolome of critical injury. J Trauma Acute Care Surg. 2015 Apr; 78(4):742-51.
Score: 0.088
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Lana A, Longo V, Dalmasso A, D'Alessandro A, Bottero MT, Zolla L. Omics integrating physical techniques: aged Piedmontese meat analysis. Food Chem. 2015 Apr 01; 172:731-41.
Score: 0.085
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D'Alessandro A, Amelio I, Berkers CR, Antonov A, Vousden KH, Melino G, Zolla L. Metabolic effect of TAp63a: enhanced glycolysis and pentose phosphate pathway, resulting in increased antioxidant defense. Oncotarget. 2014 Sep 15; 5(17):7722-33.
Score: 0.085
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D'Alessandro A, Cervia D, Catalani E, Gevi F, Zolla L, Casini G. Protective effects of the neuropeptides PACAP, substance P and the somatostatin analogue octreotide in retinal ischemia: a metabolomic analysis. Mol Biosyst. 2014 Jun; 10(6):1290-304.
Score: 0.082
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D'Alessandro A, Taamalli M, Gevi F, Timperio AM, Zolla L, Ghnaya T. Cadmium stress responses in Brassica juncea: hints from proteomics and metabolomics. J Proteome Res. 2013 Nov 01; 12(11):4979-97.
Score: 0.080
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D'Alessandro A, Blasi B, D'Amici GM, Marrocco C, Zolla L. Red blood cell subpopulations in freshly drawn blood: application of proteomics and metabolomics to a decades-long biological issue. Blood Transfus. 2013 Jan; 11(1):75-87.
Score: 0.073
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D'Alessandro A, Gevi F, Zolla L. Targeted mass spectrometry-based metabolomic profiling through multiple reaction monitoring of liver and other biological matrices. Methods Mol Biol. 2012; 909:279-94.
Score: 0.071
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D'Alessandro A, D'Amici GM, Timperio AM, Merendino N, Zolla L. Docosohaexanoic acid-supplemented PACA44 cell lines and over-activation of Krebs cycle: an integrated proteomic, metabolomic and interactomic overview. J Proteomics. 2011 Sep 06; 74(10):2138-58.
Score: 0.068
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Cralley AL, Erickson C, Schaid TR, Hallas W, Thielen O, Mitra S, Stafford P, Hom P, Silliman C, Cohen MJ, Moore EE, D'Alessandro A, Hansen KC. The proteomic and metabolomic signatures of isolated and polytrauma traumatic brain injury. Am J Surg. 2023 12; 226(6):790-797.
Score: 0.039
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Sullivan KD, Galbraith MD, Kinning KT, Bartsch KW, Levinsky NC, Araya P, Smith KP, Granrath RE, Shaw JR, Baxter RM, Jordan KR, Russell SA, Dzieciatkowska ME, Reisz JA, Gamboni F, Cendali FI, Ghosh T, Monte AA, Bennett TD, Miller MG, Hsieh EW, D'Alessandro A, Hansen KC, Espinosa JM. The COVIDome Explorer researcher portal. Cell Rep. 2021 08 17; 36(7):109527.
Score: 0.034
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Rogers SC, Ge X, Brummet M, Lin X, Timm DD, d'Avignon A, Garbow JR, Kao J, Prakash J, Issaian A, Eisenmesser EZ, Reisz JA, D'Alessandro A, Doctor A. Quantifying dynamic range in red blood cell energetics: Evidence of progressive energy failure during storage. Transfusion. 2021 05; 61(5):1586-1599.
Score: 0.034
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Zhao HW, Serrano K, Stefanoni D, D'Alessandro A, Devine DV. In Vitro Characterization and Metabolomic Analysis of Cold-Stored Platelets. J Proteome Res. 2021 05 07; 20(5):2251-2265.
Score: 0.033
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Rossman MJ, Gioscia-Ryan RA, Santos-Parker JR, Ziemba BP, Lubieniecki KL, Johnson LC, Poliektov NE, Bispham NZ, Woodward KA, Nagy EE, Bryan NS, Reisz JA, D'Alessandro A, Chonchol M, Sindler AL, Seals DR. Inorganic Nitrite Supplementation Improves Endothelial Function With Aging: Translational Evidence for Suppression of Mitochondria-Derived Oxidative Stress. Hypertension. 2021 04; 77(4):1212-1222.
Score: 0.033
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Nemkov T, Stefanoni D, Bordbar A, Issaian A, Palsson BO, Dumont LJ, Hay A, Song A, Xia Y, Redzic JS, Eisenmesser EZ, Zimring JC, Kleinman S, Hansen KC, Busch MP, D'Alessandro A. Blood donor exposome and impact of common drugs on red blood cell metabolism. JCI Insight. 2021 02 08; 6(3).
Score: 0.033
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Powers RK, Culp-Hill R, Ludwig MP, Smith KP, Waugh KA, Minter R, Tuttle KD, Lewis HC, Rachubinski AL, Granrath RE, Carmona-Iragui M, Wilkerson RB, Kahn DE, Joshi M, Lle? A, Blesa R, Fortea J, D'Alessandro A, Costello JC, Sullivan KD, Espinosa JM. Trisomy 21 activates the kynurenine pathway via increased dosage of interferon receptors. Nat Commun. 2019 10 18; 10(1):4766.
Score: 0.030
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Sonn BJ, Saben JL, McWilliams G, Shelton SK, Flaten HK, D'Alessandro A, Monte AA. Predicting response to lisinopril in treating hypertension: a pilot study. Metabolomics. 2019 10 03; 15(10):133.
Score: 0.030
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Howie HL, Hay AM, de Wolski K, Waterman H, Lebedev J, Fu X, Culp-Hill R, D'Alessandro A, Gorham JD, Ranson MS, Roback JD, Thomson PC, Zimring JC. Differences in Steap3 expression are a mechanism of genetic variation of RBC storage and oxidative damage in mice. Blood Adv. 2019 08 13; 3(15):2272-2285.
Score: 0.030
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Pham-Danis C, Gehrke S, Danis E, Rozhok AI, Daniels MW, Gao D, Collins C, Paola JTD, D'Alessandro A, DeGregori J. Urea Cycle Sustains Cellular Energetics upon EGFR Inhibition in EGFR-Mutant NSCLC. Mol Cancer Res. 2019 06; 17(6):1351-1364.
Score: 0.029
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Moore HB, D'Alessandro A, Moore EE, Wither M, Lawson PJ, Huebner BR, Hansen K, Choudhury R, Nydam TL. Increase in post-reperfusion sensitivity to tissue plasminogen activator-mediated fibrinolysis during liver transplantation is associated with abnormal metabolic changes and increased blood product utilisation. Blood Transfus. 2019 07; 17(4):312-320.
Score: 0.029
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Fox BM, Gil HW, Kirkbride-Romeo L, Bagchi RA, Wennersten SA, Haefner KR, Skrypnyk NI, Brown CN, Soranno DE, Gist KM, Griffin BR, Jovanovich A, Reisz JA, Wither MJ, D'Alessandro A, Edelstein CL, Clendenen N, McKinsey TA, Altmann C, Faubel S. Metabolomics assessment reveals oxidative stress and altered energy production in the heart after ischemic acute kidney injury in mice. Kidney Int. 2019 03; 95(3):590-610.
Score: 0.029
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Lana A, Alexander K, Castagna A, D'Alessandro A, Morandini F, Pizzolo F, Zorzi F, Mulatero P, Zolla L, Olivieri O. Urinary Metabolic Signature of Primary Aldosteronism: Gender and Subtype-Specific Alterations. Proteomics Clin Appl. 2019 07; 13(4):e1800049.
Score: 0.029
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Mould KJ, Barthel L, Mohning MP, Thomas SM, McCubbrey AL, Danhorn T, Leach SM, Fingerlin TE, O'Connor BP, Reisz JA, D'Alessandro A, Bratton DL, Jakubzick CV, Janssen WJ. Cell Origin Dictates Programming of Resident versus Recruited Macrophages during Acute Lung Injury. Am J Respir Cell Mol Biol. 2017 09; 57(3):294-306.
Score: 0.026
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Sun K, D'alessandro A, Xia Y. Purinergic control of red blood cell metabolism: novel strategies to improve red cell storage quality. Blood Transfus. 2017 Oct; 15(6):535-542.
Score: 0.025
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Tzounakas VL, Kriebardis AG, Georgatzakou HT, Foudoulaki-Paparizos LE, Dzieciatkowska M, Wither MJ, Nemkov T, Hansen KC, Papassideri IS, D'Alessandro A, Antonelou MH. Glucose 6-phosphate dehydrogenase deficient subjects may be better "storers" than donors of red blood cells. Free Radic Biol Med. 2016 07; 96:152-65.
Score: 0.024
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Goodman SR, Pace BS, Hansen KC, D'alessandro A, Xia Y, Daescu O, Glatt SJ. Minireview: Multiomic candidate biomarkers for clinical manifestations of sickle cell severity: Early steps to precision medicine. Exp Biol Med (Maywood). 2016 Apr; 241(7):772-81.
Score: 0.024
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Taamalli M, D'Alessandro A, Marrocco C, Gevi F, Timperio AM, Zolla L. Proteomic and metabolic profiles of Cakile maritima Scop. Sea Rocket grown in the presence of cadmium. Mol Biosyst. 2015 Apr; 11(4):1096-109.
Score: 0.022
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Pallotta V, Gevi F, D'alessandro A, Zolla L. Storing red blood cells with vitamin C and N-acetylcysteine prevents oxidative stress-related lesions: a metabolomics overview. Blood Transfus. 2014 Jul; 12(3):376-87.
Score: 0.021
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Polati R, Castagna A, Bossi AM, Alberio T, De Domenico I, Kaplan J, Timperio AM, Zolla L, Gevi F, D'Alessandro A, Brunch R, Olivieri O, Girelli D. Murine macrophages response to iron. J Proteomics. 2012 Dec 05; 76 Spec No.:10-27.
Score: 0.018
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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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