World's Best Scientists 2026 revealed!
Francis J. Doyle

Francis J. Doyle

Award Badge
Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
89
Citations
29114
World Ranking
292
National Ranking
100

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2008 - IEEE Fellow For contributions to nonlinear process control and analysis for biological systems

Overview

Francis J. Doyle is affiliated with Brown University in the United States and has a broad academic focus within the field of Medicine, with a special emphasis on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology, and Physiology. Their research body prominently addresses Diabetes Management and Research, Pancreatic function and diabetes, Diabetes and associated disorders, Diabetes Treatment and Management, Circadian rhythm and melatonin, Anesthesia and Neurotoxicity Research, and Stress Responses and Cortisol.

The scientist has contributed extensively to academic publications, with a notable presence in the following venues:

  • Diabetes Technology & Therapeutics
  • Journal of Diabetes Science and Technology
  • Diabetes
  • Diabetes Care
  • IFAC-PapersOnLine

Recent papers authored or co-authored by Francis J. Doyle include:

  • Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice, 2022, Endocrine Reviews
  • A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings, 2022, Journal of Diabetes Science and Technology
  • Microneedle Aptamer-Based Sensors for Continuous, Real-Time Therapeutic Drug Monitoring, 2022, Analytical Chemistry
  • Examining the Acute Glycemic Effects of Different Types of Structured Exercise Sessions in Type 1 Diabetes in a Real-World Setting: The Type 1 Diabetes and Exercise Initiative (T1DEXI), 2023, Diabetes Care
  • Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors, 2020, Molecular Psychiatry

The scientist has collaborated frequently with several researchers, including:

  • Eyal Dassau
  • Jordan E. Pinsker
  • Mei Mei Church
  • Roy W. Beck
  • Yogish C. Kudva

Francis J. Doyle has been recognized with several awards, among which are:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2010
  • IEEE Fellow, 2008, for contributions to nonlinear process control and analysis for biological systems

Best Publications

  • Robustness of cellular functions

    Jörg Stelling;Uwe Sauer;Zoltan Szallasi;Francis J. Doyle

  • Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes

    Sue A. Brown;Boris P. Kovatchev;Dan Raghinaru;John W. Lum

  • Survey on iterative learning control, repetitive control, and run-to-run control

    Youqing Wang;Furong Gao;Francis J. Doyle

  • Intercellular Coupling Confers Robustness against Mutations in the SCN Circadian Clock Network

    Andrew C. Liu;Andrew C. Liu;David K. Welsh;David K. Welsh;David K. Welsh;Caroline H. Ko;Caroline H. Ko;Hien G. Tran;Hien G. Tran

  • A model-based algorithm for blood glucose control in Type I diabetic patients

    R.S. Parker;F.J. Doyle;N.A. Peppas

  • Robust H∞ glucose control in diabetes using a physiological model

    Robert S. Parker;Francis J. Doyle;Jennifer H. Ward;Nicholas A. Peppas

  • Method and apparatus for glucose control and insulin dosing for diabetics

    Francis J. Doyle;Lois Jovanovic

  • Closed-Loop Artificial Pancreas Systems: Engineering the Algorithms

    Francis J. Doyle;Lauren M. Huyett;Joon Bok Lee;Howard C. Zisser

  • Nonlinear model-based control using second-order Volterra models

    Francis J. Doyle;Francis J. Doyle;Babatunde A. Ogunnaike;Ronald K. Pearson

  • Fully Integrated Artificial Pancreas in Type 1 Diabetes: Modular Closed-Loop Glucose Control Maintains Near Normoglycemia

    Marc Breton;Anne Farret;Daniela Bruttomesso;Stacey Anderson

  • Robustness properties of circadian clock architectures.

    Jörg Stelling;Ernst Dieter Gilles;Francis J. Doyle

  • The intravenous route to blood glucose control

    R.S. Parker;F.J. Doyle;N.A. Peppas

  • Guidelines for Genome-Scale Analysis of Biological Rhythms

    Michael E. Hughes;Katherine C. Abruzzi;Ravi Allada;Ron Anafi

  • A novel computational model of the circadian clock in Arabidopsis that incorporates PRR7 and PRR9

    Melanie N Zeilinger;Eva M Farré;Stephanie R Taylor;Steve A Kay

  • Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models

    Bryon R. Maner;Francis J. Doyle;Babatunde A. Ogunnaike;Ronald K. Pearson

  • Glucose-sensitivity of glucose oxidase-containing cationic copolymer hydrogels having poly(ethylene glycol) grafts.

    Kairali Podual;Francis J. Doyle;Nicholas A. Peppas

  • Preparation and dynamic response of cationic copolymer hydrogels containing glucose oxidase

    K. Podual;F.J. Doyle;N.A. Peppas

  • Importance of input perturbations and stochastic gene expression in the reverse engineering of genetic regulatory networks: insights from an identifiability analysis of an in silico network.

    Daniel E. Zak;Gregory E. Gonye;James S. Schwaber;Francis J. Doyle

  • Dynamic Behavior of Glucose-Responsive Poly(methacrylic acid-g-ethylene glycol) Hydrogels

    Christie M. Hassan;Francis J. Doyle;Nikolaos A. Peppas

  • Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events.

    Benyamin Grosman;Eyal Dassau;Howard C. Zisser;Lois Jovanovič

  • Model-based blood glucose control for type 1 diabetes via parametric programming

    P. Dua;F.J. Doyle;E.N. Pistikopoulos

Frequent Co-Authors

Bruce A. Buckingham
Bruce A. Buckingham Stanford University
Dale E. Seborg
Dale E. Seborg University of California, Santa Barbara
Claudio Cobelli
Claudio Cobelli University of Padua
Linda R. Petzold
Linda R. Petzold University of California, Santa Barbara
Babatunde A. Ogunnaike
Babatunde A. Ogunnaike University of Delaware
Jörg Stelling
Jörg Stelling ETH Zurich
Roy W. Beck
Roy W. Beck University of South Florida
Charles R. Marmar
Charles R. Marmar New York University
Rachel Yehuda
Rachel Yehuda United States Department of Veterans Affairs
Nicholas A. Peppas
Nicholas A. Peppas The University of Texas at Austin

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