Sue A. Brown

6.2k total citations · 1 hit paper
69 papers, 1.6k citations indexed

About

Sue A. Brown is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Sue A. Brown has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Endocrinology, Diabetes and Metabolism, 33 papers in Surgery and 31 papers in Genetics. Recurrent topics in Sue A. Brown's work include Diabetes Management and Research (51 papers), Pancreatic function and diabetes (32 papers) and Diabetes and associated disorders (29 papers). Sue A. Brown is often cited by papers focused on Diabetes Management and Research (51 papers), Pancreatic function and diabetes (32 papers) and Diabetes and associated disorders (29 papers). Sue A. Brown collaborates with scholars based in United States, United Kingdom and Italy. Sue A. Brown's co-authors include Boris Kovatchev, Marc D. Breton, Margaret L. Gourlay, Stacey M. Anderson, Theresa A. Guise, Clifford J. Rosen, Julie L. Sharpless, Christian Wakeman, Laura Kollar and Bruce A. Buckingham and has published in prestigious journals such as Molecular and Cellular Biology, Diabetes Care and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Sue A. Brown

61 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accuracy and Safety of Dexcom G7 Continuous Glucose Monitoring in Adults with Diabetes

2022 100 citations Satish K. Garg, Mark Kipnes et al. Diabetes Technology & Therapeutics profile →

Peers

Sue A. Brown

EDM

SURGE

GENET

OSM

Kentaro Yamada Japan

Hans Christian Hoeck Denmark

Chang‐Hsun Hsieh Taiwan

Maria Cristina De Martino Italy

Cherie Chiang Australia

Joséphine Z. Kasa-Vubu United States

J. S. Christiansen Denmark

Julia Lindgren Sweden

A Termine Italy

Maik Brune Germany

Kentaro Yamada Japan

Sue A. Brown

282 ×0.3

EDM

724 ×1.0

SURGE

412 ×0.7

GENET

136 ×0.6

58 ×0.3

OSM

Citations per year, relative to Sue A. Brown Sue A. Brown (= 1×) peers Kentaro Yamada

Countries citing papers authored by Sue A. Brown

Since Specialization

Citations

This map shows the geographic impact of Sue A. Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sue A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue A. Brown more than expected).

Fields of papers citing papers by Sue A. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue A. Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sue A. Brown. The network helps show where Sue A. Brown may publish in the future.

Co-authorship network of co-authors of Sue A. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Sue A. Brown. A scholar is included among the top collaborators of Sue A. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sue A. Brown. Sue A. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aktürk, Halis Kaan, Sue A. Brown, Roy W. Beck, et al.. (2025). Registration and Real-Life Studies on Automated Insulin Delivery Systems. Journal of Diabetes Science and Technology. 19(4). 924–936. 3 indexed citations

Hughes, Michael S., Grazia Aleppo, Lia Bally, et al.. (2024). Diabetes Technology Use in Special Populations: A Narrative Review of Psychosocial Factors. Journal of Diabetes Science and Technology. 19(1). 34–46. 1 indexed citations

Brown, Sue A., Lori M. Laffel, Halis Kaan Aktürk, et al.. (2024). Randomized, Crossover Trial of Control-IQ Technology with a Lower Treatment Range and a Modified Meal Bolus Module in Adults, Adolescents, Children, and Preschoolers with Varying Levels of Baseline Glycemic Control. Diabetes Technology & Therapeutics. 27(3). 187–193.

Kovatchev, Boris, Alberto Castillo, Laura Kollar, et al.. (2024). Neural-Net Artificial Pancreas: A Randomized Crossover Trial of a First-in-Class Automated Insulin Delivery Algorithm. Diabetes Technology & Therapeutics. 26(6). 375–382. 17 indexed citations

Colmegna, Patricio, Chiara Fabris, Ralf Nass, et al.. (2024). Adaptive Biobehavioral Control: A Pilot Analysis of Human–Machine Coadaptation in Type 1 Diabetes. Diabetes Technology & Therapeutics. 26(9). 644–651. 3 indexed citations

Garcia‐Tirado, José, Patricio Colmegna, Charlotte L. Barnett, et al.. (2023). Assessment of Meal Anticipation for Improving Fully Automated Insulin Delivery in Adults With Type 1 Diabetes. Diabetes Care. 46(9). 1652–1658. 19 indexed citations

Hood, Korey K., William H. Polonsky, Sarah A. MacLeish, et al.. (2023). Psychosocial Outcomes with the Omnipod® 5 Automated Insulin Delivery System in Children and Adolescents with Type 1 Diabetes and Their Caregivers. Pediatric Diabetes. 2023. 1–12. 6 indexed citations

Davis, Georgia M., Michael S. Hughes, Sue A. Brown, et al.. (2023). Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial. Diabetes Technology & Therapeutics. 25(10). 677–688. 19 indexed citations

Hsu, Liana, Sue A. Brown, Laura Kollar, et al.. (2022). Smartwatch gesture‐based meal reminders improve glycaemic control. Diabetes Obesity and Metabolism. 24(8). 1667–1670. 20 indexed citations

10.

Garg, Satish K., Mark Kipnes, Kristin Castorino, et al.. (2022). Accuracy and Safety of Dexcom G7 Continuous Glucose Monitoring in Adults with Diabetes. Diabetes Technology & Therapeutics. 24(6). 373–380. 100 indexed citations breakdown →

11.

Ekhlaspour, Laya, Marissa Town, Dan Raghinaru, et al.. (2022). Glycemic Outcomes in Baseline Hemoglobin A1C Subgroups in the International Diabetes Closed-Loop Trial. Diabetes Technology & Therapeutics. 24(8). 588–591. 28 indexed citations

12.

Pinsker, Jordan E., Mei Mei Church, Sue A. Brown, et al.. (2021). Clinical Evaluation of a Novel CGM-Informed Bolus Calculator with Automatic Glucose Trend Adjustment. Diabetes Technology & Therapeutics. 24(1). 18–25. 6 indexed citations

13.

Sherr, Jennifer L., Bruce W. Bode, Gregory P. Forlenza, et al.. (2021). 70-OR: Evaluation of the Omnipod 5 Automated Insulin Delivery System in Very Young Children with Type 1 Diabetes (T1D). Diabetes. 70(Supplement_1). 1 indexed citations

14.

Brown, Sue A., Pearl L. Yu, Mark D. DeBoer, et al.. (2020). Sleep and diabetes‐specific psycho‐behavioral outcomes of a new automated insulin delivery system in young children with type 1 diabetes and their parents. Pediatric Diabetes. 22(3). 495–502. 38 indexed citations

15.

Brown, Sue A., Dan Raghinaru, Bruce A. Buckingham, et al.. (2020). 101-LB: Eighteen-Month Use of Closed-Loop Control (CLC): A Randomized, Controlled Trial. Diabetes. 69(Supplement_1). 1 indexed citations

16.

Schoelwer, Melissa J., J. Robic, Chiara Fabris, et al.. (2020). Safety and Efficacy of Initializing the Control-IQ Artificial Pancreas System Based on Total Daily Insulin in Adolescents with Type 1 Diabetes. Diabetes Technology & Therapeutics. 22(8). 594–601. 18 indexed citations

17.

Anderson, Stacey M., Bruce A. Buckingham, Marc D. Breton, et al.. (2019). Hybrid Closed-Loop Control Is Safe and Effective for People with Type 1 Diabetes Who Are at Moderate to High Risk for Hypoglycemia. Diabetes Technology & Therapeutics. 21(6). 356–363. 46 indexed citations

18.

Brown, Sue A., Boris Kovatchev, Marc D. Breton, et al.. (2015). Multinight “Bedside” Closed-Loop Control for Patients with Type 1 Diabetes. Diabetes Technology & Therapeutics. 17(3). 203–209. 39 indexed citations

19.

Breton, Marc D., et al.. (2014). Adding Heart Rate Signal to a Control-to-Range Artificial Pancreas System Improves the Protection Against Hypoglycemia During Exercise in Type 1 Diabetes. Diabetes Technology & Therapeutics. 16(8). 506–511. 103 indexed citations

20.

Aris, Robert M., Gayle E. Lester, A. Denene Blackwood, et al.. (2003). Efficacy of Alendronate in Adults with Cystic Fibrosis with Low Bone Density. American Journal of Respiratory and Critical Care Medicine. 169(1). 77–82. 55 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact