Profil bibliographique

Russell Esterline

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

47Publications signalées

1102Citations signalées

3Affiliations récentes

Institutions déclarées

AstraZeneca (Poland)AstraZeneca (Spain)AstraZeneca (United States)

Domaines associés

Diabetes Treatment and ManagementPancreatic function and diabetesMetabolism, Diabetes, and CancerHyperglycemia and glycemic control in critically ill and hospitalized patientsCOVID-19 Clinical Research Studies

Publications récentes

Accès ouvert 2025 articleOpenAlex

Efficacy and safety of dapagliflozin in patients hospitalized with COVID-19 with and without type 2 diabetes: a prespecified analysis of the DARE-19 randomized trial

Sheryl L. Windsor, Otávio Berwanger, Jan Oscarsson, Shachi Patel et autres

0 citationsCarolina Digital Repository (University of North Carolina at Chapel Hill)

Accès ouvert 2025 articleOpenAlex

Efficacy and safety of dapagliflozin in patients hospitalized with COVID-19 with and without type 2 diabetes: a prespecified analysis of the DARE-19 randomized trial

Mohammad Abdel Jawad, Remo H.M. Furtado, Russell Esterline, Jan Oscarsson et autres

0 citationsCardiovascular Diabetology

Accès ouvert 2025 articleOpenAlex

Sodium-Glucose Cotransporter Inhibition Preserves Apolipoprotein M During Acute Inflammation in Mice and Humans

Carla Valenzuela Ripoll, Aynaz Lotfinaghsh, Zhen Guo, Tripti Kumari et autres

5 citationsJACC Advances

Accès ouvert 2025 articleOpenAlex

Effects of the SGLT2 inhibitor dapagliflozin in early Alzheimer's disease: A randomized controlled trial

Jeffrey M. Burns, Jill K. Morris, Eric D. Vidoni, Heather Wilkins et autres

11 citationsAlzheimer s & Dementia

Accès ouvert 2025 articleOpenAlex

Effects of dapagliflozin on prevention of major clinical events and recovery in patients with respiratory failure because of COVID‐19: Design and rationale for the DARE‐19 study

Phil Ambery, Anna Maria Langkilde, Jan Oscarsson, Gary G. Koch et autres

0 citationsCarolina Digital Repository (University of North Carolina at Chapel Hill)

Accès ouvert 2025 articleOpenAlex

Dapagliflozin in patients with cardiometabolic risk factors hospitalised with COVID-19 (DARE-19): a randomised, double-blind, placebo-controlled, phase 3 trial

José Roberto Lazcano Soto, Subodh Verma, Michael E. Nassif, Mikhail Kosiborod et autres

0 citationsCarolina Digital Repository (University of North Carolina at Chapel Hill)

Accès ouvert 2025 preprintOpenAlex

13 C tracing in synaptosomes reveals that SGLT2 inhibition with dapagliflozin prevents metabolic deficits in the 5X-FAD model of Alzheimer’s Disease

Marisa Mekkittikul, Cansheng Zhu, Bezawit T. Danna, Xiaohong Zuo et autres

1 citationbioRxiv (Cold Spring Harbor Laboratory)

Accès ouvert 2025 articleOpenAlex

Dapagliflozin and Kidney Outcomes in Hospitalized Patients with COVID-19 Infection

Ali Javaheri, Remo Holanda de Mendonça Furtado, Osvaldo Lourenço Silva, Vicente Cés de Souza-Dantas et autres

0 citationsCarolina Digital Repository (University of North Carolina at Chapel Hill)

Accès ouvert 2025 articleOpenAlex

Alterations in cerebral perfusion and substrate metabolism in type 2 diabetes: interactions with APOE-ε4

Martin Schain, Edvin Johansson, Iina Laitinen, A. Frödén Löwenmark et autres

3 citationsDiabetologia

Accès ouvert 2024 articleOpenAlex

SGLT2 inhibition improves coronary flow velocity reserve and contractility: role of glucagon signaling

Sven Göpel, Damilola D. Adingupu, Jue Wang, Elizaveta Semenova et autres

12 citationsCardiovascular Diabetology

Accès ouvert 2024 articleOpenAlex

Prediction of cardiovascular risk factors from retinal fundus photographs: Validation of a deep learning algorithm in a prospective non‐interventional study in Kenya

Tom White, Viknesh Selvarajah, Fredrik Wolfhagen‐Sand, Nils Svangård et autres

16 citationsDiabetes Obesity and Metabolism

2024 peer-reviewOpenAlex

Author response for "Prediction of cardiovascular risk factors from retinal fundus photographs: Validation of a deep learning algorithm in a prospective non‐interventional study in Kenya"

Tom White, Viknesh Selvarajah, Fredrik Wolfhagen‐Sand, Nils Svangård et autres

0 citations

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