Christian Wakeman

1.1k total citations
16 papers, 463 citations indexed

About

Christian Wakeman is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Christian Wakeman has authored 16 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Surgery and 8 papers in Genetics. Recurrent topics in Christian Wakeman's work include Diabetes Management and Research (16 papers), Diabetes and associated disorders (8 papers) and Pancreatic function and diabetes (8 papers). Christian Wakeman is often cited by papers focused on Diabetes Management and Research (16 papers), Diabetes and associated disorders (8 papers) and Pancreatic function and diabetes (8 papers). Christian Wakeman collaborates with scholars based in United States, Italy and France. Christian Wakeman's co-authors include Marc D. Breton, Boris Kovatchev, Sue A. Brown, Daniel R. Cherñavvsky, Mary C. Oliveri, Mark D. DeBoer, Charlotte L. Barnett, J. Robic, Stacey M. Anderson and Boyi Jiang and has published in prestigious journals such as Diabetes Care, Diabetes and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Christian Wakeman

16 papers receiving 450 citations

Peers

Christian Wakeman

EDM

SURGE

GENET

CCM

GHP

K Remus Germany

Joseph Leitschuh United States

Eden Miller United States

Sunil Deshpande United States

Ido Muller Israel

Zoey Li United States

Paula Clinton United States

Emma Walkinshaw United Kingdom

Womba Mubita United Kingdom

Toni L. Cordero United States

K Remus Germany

Christian Wakeman

503 ×1.2

EDM

374 ×1.4

SURGE

325 ×1.4

GENET

15 ×0.5

CCM

26 ×1.2

GHP

Citations per year, relative to Christian Wakeman Christian Wakeman (= 1×) peers K Remus

Countries citing papers authored by Christian Wakeman

Since Specialization

Citations

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

Fields of papers citing papers by Christian Wakeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Wakeman

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Wakeman. A scholar is included among the top collaborators of Christian Wakeman 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 Christian Wakeman. Christian Wakeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

DeBoer, Mark D., Rupa S. Valdez, Christian Wakeman, et al.. (2023). Effect of an Automated Advice Algorithm (CloudConnect) on Adolescent-Parent Diabetes-Specific Communication and Glycemic Management: A Randomized Trial. Diabetes Therapy. 14(5). 899–913. 4 indexed citations

Breton, Marc D., et al.. (2022). Accuracy of a Factory-Calibrated Continuous Glucose Monitor in Individuals With Diabetes on Hemodialysis. Diabetes Care. 45(7). 1666–1669. 22 indexed citations

Colmegna, Patricio, et al.. (2022). Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study. IEEE Journal of Biomedical and Health Informatics. 27(1). 515–525. 10 indexed citations

Breton, Marc D., et al.. (2022). Accuracy of a Factory-Calibrated Continuous Glucose Monitor in Individuals With Diabetes on Hemodialysis. PubMed. 45(7). 1666–1669. 11 indexed citations

Garcia‐Tirado, José, Christian Wakeman, Charlotte L. Barnett, et al.. (2021). Advanced Closed-Loop Control System Improves Postprandial Glycemic Control Compared With a Hybrid Closed-Loop System Following Unannounced Meal. Diabetes Care. 44(10). 2379–2387. 33 indexed citations

Colmegna, Patricio, et al.. (2021). 97-LB: Bringing Simulation Technologies to People with T1D: A Pilot Study. Diabetes. 70(Supplement_1). 2 indexed citations

Brown, Sue A., et al.. (2021). Safety and Feasibility Evaluation of Step Count Informed Meal Boluses in Type 1 Diabetes: A Pilot Study. Journal of Diabetes Science and Technology. 16(3). 670–676. 5 indexed citations

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

Kovatchev, Boris, Laura Kollar, Stacey M. Anderson, et al.. (2020). Evening and overnight closed-loop control versus 24/7 continuous closed-loop control for type 1 diabetes: a randomised crossover trial. The Lancet Digital Health. 2(2). e64–e73. 27 indexed citations

10.

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

11.

Breton, Marc D., Stephen D. Patek, Dayu Lv, et al.. (2018). Continuous Glucose Monitoring and Insulin Informed Advisory System with Automated Titration and Dosing of Insulin Reduces Glucose Variability in Type 1 Diabetes Mellitus. Diabetes Technology & Therapeutics. 20(8). 531–540. 70 indexed citations

12.

DeBoer, Mark D., Marc D. Breton, Christian Wakeman, et al.. (2017). Performance of an Artificial Pancreas System for Young Children with Type 1 Diabetes. Diabetes Technology & Therapeutics. 19(5). 293–298. 34 indexed citations

13.

Gonder‐Frederick, Linda, Jesse H. Grabman, Boris Kovatchev, et al.. (2016). Is Psychological Stress a Factor for Incorporation Into Future Closed-Loop Systems?. Journal of Diabetes Science and Technology. 10(3). 640–646. 21 indexed citations

14.

Brown, Sue A., Boyi Jiang, Molly McElwee-Malloy, Christian Wakeman, & Marc D. Breton. (2015). Fluctuations of Hyperglycemia and Insulin Sensitivity Are Linked to Menstrual Cycle Phases in Women With T1D. Journal of Diabetes Science and Technology. 9(6). 1192–1199. 56 indexed citations

15.

Kovatchev, Boris, Christian Wakeman, Marc D. Breton, et al.. (2014). Computing the Surveillance Error Grid Analysis. Journal of Diabetes Science and Technology. 8(4). 673–684. 38 indexed citations

16.

Cherñavvsky, Daniel R., Mark D. DeBoer, Patrick Keith-Hynes, et al.. (2014). Use of an artificial pancreas among adolescents for a missed snack bolus and an underestimated meal bolus. Pediatric Diabetes. 17(1). 28–35. 46 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.

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