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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Laura Cox and Michael Olivier.
Connection Strength

1.844
  1. Olivier M, Asmis R, Hawkins GA, Howard TD, Cox LA. The Need for Multi-Omics Biomarker Signatures in Precision Medicine. Int J Mol Sci. 2019 Sep 26; 20(19).
    View in: PubMed
    Score: 0.695
  2. Chan J, Yao W, Howard TD, Hawkins GA, Olivier M, Jorgensen MJ, Cheeseman IH, Cole SA, Cox LA. Efficiency of whole-exome sequencing in old world and new world primates using human capture reagents. J Med Primatol. 2021 Jun; 50(3):176-181.
    View in: PubMed
    Score: 0.194
  3. Misra BB, Puppala SR, Comuzzie AG, Mahaney MC, VandeBerg JL, Olivier M, Cox LA. Analysis of serum changes in response to a high fat high cholesterol diet challenge reveals metabolic biomarkers of atherosclerosis. PLoS One. 2019; 14(4):e0214487.
    View in: PubMed
    Score: 0.168
  4. Misra BB, Bassey E, Bishop AC, Kusel DT, Cox LA, Olivier M. High-resolution gas chromatography/mass spectrometry metabolomics of non-human primate serum. Rapid Commun Mass Spectrom. 2018 Sep 15; 32(17):1497-1506.
    View in: PubMed
    Score: 0.162
  5. Misra BB, Langefeld CD, Olivier M, Cox LA. Integrated Omics: Tools, Advances, and Future Approaches. J Mol Endocrinol. 2018 Jul 13.
    View in: PubMed
    Score: 0.160
  6. Misra BB, Upadhayay RP, Cox LA, Olivier M. Optimized GC-MS metabolomics for the analysis of kidney tissue metabolites. Metabolomics. 2018 05 25; 14(6):75.
    View in: PubMed
    Score: 0.158
  7. Cox LA, Olivier M, Spradling-Reeves K, Karere GM, Comuzzie AG, VandeBerg JL. Nonhuman Primates and Translational Research-Cardiovascular Disease. ILAR J. 2017 12 01; 58(2):235-250.
    View in: PubMed
    Score: 0.153
  8. Proffitt JM, Glenn J, Cesnik AJ, Jadhav A, Shortreed MR, Smith LM, Kavanagh K, Cox LA, Olivier M. Proteomics in non-human primates: utilizing RNA-Seq data to improve protein identification by mass spectrometry in vervet monkeys. BMC Genomics. 2017 Nov 13; 18(1):877.
    View in: PubMed
    Score: 0.153
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.