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Nathalie de Préville
Observed names:
N. de Preville,
Nathalie De Preville,
Nathalie De Préville,
Nathalie de Preville
Institutions:
Université Paris Cité,
Assistance Publique – Hôpitaux de Paris,
Servier (France)
Observed institutions:
Université Paris Cité,
Assistance Publique – Hôpitaux de Paris,
Servier (France),
Institut de Recherches Internationales Servier (France)
OpenAlex ID:
A5004499681
A reference map of potential determinants for the human serum metabolome
2020
·
Noam Bar
, Tal Korem
, et al.
·
Nature
·
449
High Prevalence of NASH and Advanced Fibrosis in Type 2 Diabetes: A Prospective Study of 330 Outpatients Undergoing Liver Biopsies for Elevated ALT, Using a Low Threshold
2023
·
Laurent Castera
, Cédric Laouenan
, et al.
·
Diabetes Care
·
133
PDF
Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials
2022
·
Adem Y Dawed
, Andrea Mari
, et al.
·
The Lancet Diabetes & Endocrinology
·
132
PDF
Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
2023
·
Rosa Lundbye Allesøe
, Agnete Troen Lundgaard
, et al.
·
Nature Biotechnology
·
110
PDF
The triglycerides and glucose (TyG) index: A new marker associated with nonalcoholic steatohepatitis (NASH) in obese patients
2022
·
Benjamin Rivière
, Audrey Jaussent
, et al.
·
Diabetes & Metabolism
·
50
Current state-of-the-art and gaps in platform trials: 10 things you should know, insights from EU-PEARL
2023
·
Franz Koenig
, Cécile Spiertz
, et al.
·
EClinicalMedicine
·
48
PDF
Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits
2023
·
Andrew A. Brown
, Juan J. Fernandez-Tajes
, et al.
·
Nature Communications
·
44
PDF
Profiles of Glucose Metabolism in Different Prediabetes Phenotypes, Classified by Fasting Glycemia, 2-Hour OGTT, Glycated Hemoglobin, and 1-Hour OGTT: An IMI DIRECT Study
2021
·
Andrea Tura
, Eleonora Grespan
, et al.
·
Diabetes
·
43
PDF
Optimization of RNA extraction methods from human metabolic tissue samples of the COMET biobank
2021
·
Agathe Nouvel
, Jonas Laget
, et al.
·
Scientific Reports
·
32
PDF
Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration
2019
·
Henry R. Wilman
, Constantinos A. Parisinos
, et al.
·
Journal of Hepatology
·
30
PDF
Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study
2020
·
Roberto Bizzotto
, Christopher Jennison
, et al.
·
Diabetes Care
·
26
PDF
ACBP/DBI neutralization for the experimental treatment of fatty liver disease
2024
·
Omar Motiño
, Flavia Lambertucci
, et al.
·
Cell Death and Differentiation
·
17
PDF
Addressing the quality challenge of a human biospecimen biobank through the creation of a quality management system
2022
·
Marie-Dominique Servais
, Florence Galtier
, et al.
·
PLoS ONE
·
12
PDF
Characterization and Pharmacological Validation of a Preclinical Model of NASH in Göttingen Minipigs
2021
·
Valérie Duvivier
, Stéphanie Creusot
, et al.
·
Journal of Clinical and Experimental Hepatology
·
6
PDF
Author Correction: Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
2023
·
Rosa Lundbye Allesøe
, Agnete Troen Lundgaard
, et al.
·
Nature Biotechnology
·
3
PDF
Author Correction: Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x)
2023
·
Rosa Lundbye Allesøe
, Agnete Troen Lundgaard
, et al.
·
Newcastle University ePrints (Newcastle Univesity)
Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
2023
·
Rosa Lundbye Allesøe
, Agnete Troen Lundgaard
, et al.
·
Newcastle University ePrints (Newcastle Univesity)
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Works count:
17
Citation count:
1,134
H-index:
12
I10-index:
13
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