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This is a "connection" page, showing publications co-authored by Louis Philipson and Rochelle Naylor.
Louis Philipson
Connection Strength
2.651
Rochelle Naylor
  1. Who should have genetic testing for maturity-onset diabetes of the young? Clin Endocrinol (Oxf). 2011 Oct; 75(4):422-6.
    View in: PubMed
    Score: 0.399
  2. Genetics and pathophysiology of neonatal diabetes mellitus. J Diabetes Investig. 2011 Jun 05; 2(3):158-69.
    View in: PubMed
    Score: 0.391
  3. Implementing genetic testing in diabetes: Knowledge, perceptions of healthcare professionals, and barriers in a developing country. Popul Med. 2024 Mar; 6.
    View in: PubMed
    Score: 0.236
  4. Objective and Subjective Sleep Patterns in Adults With Maturity-Onset Diabetes of the Young (MODY). Diabetes Care. 2023 03 01; 46(3):608-612.
    View in: PubMed
    Score: 0.220
  5. GCK-MODY in the US Monogenic Diabetes Registry: Description of 27 unpublished variants. Diabetes Res Clin Pract. 2019 May; 151:231-236.
    View in: PubMed
    Score: 0.169
  6. Management and pregnancy outcomes of women with GCK-MODY enrolled in the US Monogenic Diabetes Registry. Acta Diabetol. 2019 Apr; 56(4):405-411.
    View in: PubMed
    Score: 0.164
  7. Monogenic Diabetes in Children and Adolescents: Recognition and Treatment Options. Curr Diab Rep. 2018 06 22; 18(8):58.
    View in: PubMed
    Score: 0.159
  8. GCK-MODY in the US National Monogenic Diabetes Registry: frequently misdiagnosed and unnecessarily treated. Acta Diabetol. 2016 Oct; 53(5):703-8.
    View in: PubMed
    Score: 0.137
  9. Insulin dosing in pediatric diabetic ketoacidosis: where to start? JAMA. 2015 Jun 09; 313(22):2274-5.
    View in: PubMed
    Score: 0.129
  10. Cost-effectiveness of MODY genetic testing: translating genomic advances into practical health applications. Diabetes Care. 2014; 37(1):202-9.
    View in: PubMed
    Score: 0.114
  11. Creation of the Web-based University of Chicago Monogenic Diabetes Registry: using technology to facilitate longitudinal study of rare subtypes of diabetes. J Diabetes Sci Technol. 2011 Jul 01; 5(4):879-86.
    View in: PubMed
    Score: 0.098
  12. Neonatal diabetes mellitus: a model for personalized medicine. Trends Endocrinol Metab. 2010 Aug; 21(8):464-72.
    View in: PubMed
    Score: 0.090
  13. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat Med. 2023 Oct; 29(10):2438-2457.
    View in: PubMed
    Score: 0.057
  14. Insight on Diagnosis and Treatment From Over a Decade of Research Through the University of Chicago Monogenic Diabetes Registry. Front Clin Diabetes Healthc. 2021 Nov; 2.
    View in: PubMed
    Score: 0.050
  15. Iatrogenic Hyperinsulinemia, Not Hyperglycemia, Drives Insulin Resistance in Type 1 Diabetes as Revealed by Comparison With GCK-MODY (MODY2). Diabetes. 2019 08; 68(8):1565-1576.
    View in: PubMed
    Score: 0.042
  16. Diabetes Presentation in Infancy: High Risk of Diabetic Ketoacidosis. Diabetes Care. 2017 10; 40(10):e147-e148.
    View in: PubMed
    Score: 0.037
  17. Patients with KCNJ11-related diabetes frequently have neuropsychological impairments compared with sibling controls. Diabet Med. 2016 10; 33(10):1380-6.
    View in: PubMed
    Score: 0.035
  18. Role of noninsulin therapies alone or in combination in chromosome 6q24-related transient neonatal diabetes: sulfonylurea improves but does not always normalize insulin secretion. Diabetes Care. 2015 Jun; 38(6):e86-7.
    View in: PubMed
    Score: 0.032
  19. Age at the time of sulfonylurea initiation influences treatment outcomes in KCNJ11-related neonatal diabetes. Diabetologia. 2015 Jul; 58(7):1430-5.
    View in: PubMed
    Score: 0.032
  20. Sulfonylurea treatment before genetic testing in neonatal diabetes: pros and cons. J Clin Endocrinol Metab. 2014 Dec; 99(12):E2709-14.
    View in: PubMed
    Score: 0.031
  21. Neonatal diabetes: an expanding list of genes allows for improved diagnosis and treatment. Curr Diab Rep. 2011 Dec; 11(6):519-32.
    View in: PubMed
    Score: 0.025
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.