Howard Wolpert

6.4k total citations · 1 hit paper
63 papers, 4.0k citations indexed

About

Howard Wolpert is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Howard Wolpert has authored 63 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Endocrinology, Diabetes and Metabolism, 23 papers in Surgery and 23 papers in Genetics. Recurrent topics in Howard Wolpert's work include Diabetes Management and Research (53 papers), Diabetes and associated disorders (23 papers) and Pancreatic function and diabetes (22 papers). Howard Wolpert is often cited by papers focused on Diabetes Management and Research (53 papers), Diabetes and associated disorders (23 papers) and Pancreatic function and diabetes (22 papers). Howard Wolpert collaborates with scholars based in United States, Australia and Denmark. Howard Wolpert's co-authors include Barbara J. Anderson, Garry M. Steil, Elena Toschi, Astrid Atakov-Castillo, Andrew Ahmann, Jill Weissberg‐Benchell, Richard M. Bergenstal, Katrina J. Ruedy, Irl B. Hirsch and Bruce A. Buckingham and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Howard Wolpert

61 papers receiving 3.8k 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.

Effect of Continuous Glucose Monitoring on Glycemic Control in Adults With Type 1 Diabetes Using Insulin Injections

2017 838 citations Richard M. Bergenstal, William H. Polonsky et al. profile →

Peers

Howard Wolpert

EDM

SURGE

GENET

PPCH

Nicole C. Foster United States

Sabine E. Hofer Austria

Ingrid Libman United States

Gyula Soltész Hungary

Katrina J. Ruedy United States

Julie Edge United Kingdom

Graham D. Ogle Australia

Ragnar Hanås Sweden

Leslie Plotnick United States

Kellee M. Miller United States

Nicole C. Foster United States

Howard Wolpert

4.2k ×1.4

EDM

2.4k ×1.6

SURGE

2.5k ×1.7

GENET

484 ×0.8

390 ×0.8

PPCH

Citations per year, relative to Howard Wolpert Howard Wolpert (= 1×) peers Nicole C. Foster

Countries citing papers authored by Howard Wolpert

Since Specialization

Citations

This map shows the geographic impact of Howard Wolpert'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 Howard Wolpert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Wolpert more than expected).

Fields of papers citing papers by Howard Wolpert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard Wolpert. 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 Howard Wolpert. The network helps show where Howard Wolpert may publish in the future.

Co-authorship network of co-authors of Howard Wolpert

This figure shows the co-authorship network connecting the top 25 collaborators of Howard Wolpert. A scholar is included among the top collaborators of Howard Wolpert 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 Howard Wolpert. Howard Wolpert 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

Wolpert, Howard, David Rodbard, Jie Xue, Jennal Johnson, & Eyal Dassau. (2025). Characterizing insulin dosing behaviour and glycaemic excursions: Development of metrics using connected insulin pen and continuous glucose monitoring. Diabetes Obesity and Metabolism. 27(5). 2507–2514.

Cheney, Michael C., et al.. (2025). Impact of Meal Insulin Bolus Timing and Bedtime Snacking on Continuous Glucose Monitoring–Derived Glycemic Metrics in Hospitalized Inpatients. Diabetes Technology & Therapeutics. 27(7). 511–516.

Spartano, Nicole L., Honghuang Lin, Huimin Cheng, et al.. (2024). Defining Continuous Glucose Monitor Time in Range in a Large, Community-Based Cohort Without Diabetes. The Journal of Clinical Endocrinology & Metabolism. 110(4). 1128–1134. 9 indexed citations

Toschi, Elena, et al.. (2024). What Really Matters?: How Insulin Dose, Timing, and Distribution Relate to Meal Composition in Free-Living People with Type 1 Diabetes. Diabetes Technology & Therapeutics. 27(1). 66–71. 1 indexed citations

Steenkamp, Devin, et al.. (2023). Optimizing Glycemic Outcomes for Minoritized and Medically Underserved Adults Living with Type 1 Diabetes. Endocrinology and Metabolism Clinics of North America. 53(1). 67–80. 1 indexed citations

Williams, Mark E., Devin Steenkamp, & Howard Wolpert. (2022). Making sense of glucose sensors in end-stage kidney disease: A review. SHILAP Revista de lepidopterología. 3. 1025328–1025328. 6 indexed citations

Poon, Jiat Ling, Eric S. Meadows, David A. Price, et al.. (2021). Use of Connected Pen as a Diagnostic Tool to Evaluate Missed Bolus Dosing Behavior in People with Type 1 and Type 2 Diabetes. Diabetes Technology & Therapeutics. 24(1). 61–66. 13 indexed citations

Pinsker, Jordan E., et al.. (2021). Predictive Low-Glucose Suspend Necessitates Less Carbohydrate Supplementation to Rescue Hypoglycemia: Need to Revisit Current Hypoglycemia Treatment Guidelines. Diabetes Technology & Therapeutics. 23(7). 512–516. 15 indexed citations

Wolpert, Howard, William H. Polonsky, & David Rodbard. (2021). Insulin Metrics: Need for Development of Consensus Standards for Reporting of Insulin Dosing Data. Diabetes Technology & Therapeutics. 23(7). 522–526. 8 indexed citations

10.

Wagner, Julie, Stephen Armeli, Howard Tennen, et al.. (2020). A daily study of stressors, continuously measured glucose, and diabetes symptoms in latinos with type 2 diabetes. Journal of Behavioral Medicine. 44(1). 94–103. 1 indexed citations

11.

Christiansen, Mark P., et al.. (2020). Performance of an Automated Insulin Delivery System: Results of Early Phase Feasibility Studies. Diabetes Technology & Therapeutics. 23(3). 187–194. 5 indexed citations

12.

Ritholz, Marilyn D., et al.. (2019). Experiences of Adults With Type 1 Diabetes Using Glucose Sensor–Based Mobile Technology for Glycemic Variability: Qualitative Study. JMIR Diabetes. 4(3). e14032–e14032. 12 indexed citations

13.

Toschi, Elena, et al.. (2018). Evaluating a Glucose-Sensor-Based Tool to Help Clinicians and Adults With Type 1 Diabetes Improve Self-Management Skills. Journal of Diabetes Science and Technology. 12(6). 1143–1151. 7 indexed citations

14.

Wagner, Julie, Stephen Armeli, Howard Tennen, et al.. (2017). Mean Levels and Variability in Affect, Diabetes Self-Care Behaviors, and Continuously Monitored Glucose: A Daily Study of Latinos With Type 2 Diabetes. Psychosomatic Medicine. 79(7). 798–805. 24 indexed citations

15.

Toschi, Elena & Howard Wolpert. (2016). Utility of Continuous Glucose Monitoring in Type 1 and Type 2 Diabetes. Endocrinology and Metabolism Clinics of North America. 45(4). 895–904. 26 indexed citations

16.

Laxminarayan, S., et al.. (2015). Bolus Estimation—Rethinking the Effect of Meal Fat Content. Diabetes Technology & Therapeutics. 17(12). 860–866. 17 indexed citations

17.

Garvey, Katharine C., et al.. (2014). Experiences of health care transition voiced by young adults with type 1 diabetes: a qualitative study. Adolescent Health Medicine and Therapeutics. 5. 191–191. 74 indexed citations

18.

Wagner, Julie, Howard Tennen, & Howard Wolpert. (2012). Continuous Glucose Monitoring. Psychosomatic Medicine. 74(4). 356–365. 37 indexed citations

19.

Hirsch, Irl B., Richard M. Bergenstal, Bruce A. Buckingham, et al.. (2008). Clinical Application of Emerging Sensor Technologies in Diabetes Management: Consensus Guidelines for Continuous Glucose Monitoring (CGM). Diabetes Technology & Therapeutics. 10(4). 232–246. 98 indexed citations

20.

Anderson, Barbara J. & Howard Wolpert. (2004). A developmental perspective on the challenges of diabetes education and care during the young adult period. Patient Education and Counseling. 53(3). 347–352. 94 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