Cheril Clarson

2.4k total citations
51 papers, 1.2k citations indexed

About

Cheril Clarson is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Cheril Clarson has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Genetics and 18 papers in Surgery. Recurrent topics in Cheril Clarson's work include Diabetes Management and Research (23 papers), Diabetes and associated disorders (18 papers) and Pancreatic function and diabetes (15 papers). Cheril Clarson is often cited by papers focused on Diabetes Management and Research (23 papers), Diabetes and associated disorders (18 papers) and Pancreatic function and diabetes (15 papers). Cheril Clarson collaborates with scholars based in Canada, United States and United Kingdom. Cheril Clarson's co-authors include Denis Daneman, Farid H. Mahmud, David J. Hill, Robert Ehrlich, Kusum Menon, Etienne Sochett, Meaghan S. Cuerden, Rolando F. Del Maestro, Tracy Robinson and Gerald J.M. Tevaarwerk and has published in prestigious journals such as Diabetes Care, PEDIATRICS and Diabetes.

In The Last Decade

Cheril Clarson

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cheril Clarson Canada 21 633 469 347 211 187 51 1.2k
Jane Lynch United States 16 617 1.0× 287 0.6× 287 0.8× 155 0.7× 195 1.0× 40 1.2k
Tabitha Randell United Kingdom 19 773 1.2× 422 0.9× 394 1.1× 83 0.4× 65 0.3× 53 1.1k
Christian Denzer Germany 19 548 0.9× 212 0.5× 200 0.6× 162 0.8× 265 1.4× 54 1.3k
Elizabeth J. Mayer-Davis United States 7 612 1.0× 149 0.3× 192 0.6× 107 0.5× 288 1.5× 8 1.2k
Jencia Wong Australia 28 1.2k 1.9× 721 1.5× 444 1.3× 423 2.0× 255 1.4× 77 2.8k
I. F. Casson United Kingdom 14 589 0.9× 291 0.6× 142 0.4× 232 1.1× 95 0.5× 35 1.4k
Mary Larkin United States 20 952 1.5× 223 0.5× 173 0.5× 44 0.2× 112 0.6× 44 1.5k
E. A. M. Gale United Kingdom 20 1.4k 2.2× 608 1.3× 782 2.3× 97 0.5× 153 0.8× 27 2.2k
Lisa H. Fish United States 13 2.1k 3.3× 571 1.2× 587 1.7× 94 0.4× 78 0.4× 22 2.3k
Nadia Lascar United Kingdom 9 544 0.9× 176 0.4× 149 0.4× 52 0.2× 127 0.7× 13 990

Countries citing papers authored by Cheril Clarson

Since Specialization
Citations

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

Fields of papers citing papers by Cheril Clarson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheril Clarson

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

All Works

20 of 20 papers shown
1.
Spagnolo, P., Enis Cela, Maitray A. Patel, et al.. (2025). Differential expression of plasma proteins and pathway enrichments in pediatric diabetic ketoacidosis. Molecular Medicine. 31(1). 4–4. 2 indexed citations
2.
Spagnolo, P., Enis Cela, Cheril Clarson, et al.. (2024). Metabolomic signature of pediatric diabetic ketoacidosis: key metabolites, pathways, and panels linked to clinical variables. Molecular Medicine. 30(1). 250–250. 3 indexed citations
3.
4.
Shulman, Rayzel, Ian Zenlea, Noah Ivers, et al.. (2024). An audit and feedback‐based intervention to improve diabetes management in the year after transfer to adult type 1 diabetes care: A multi‐center quasi‐experimental study. Diabetic Medicine. 42(1). e15444–e15444. 1 indexed citations
5.
Chan, Jason R., Nadia Sourial, Brenda Bradley, et al.. (2021). Motivational Stage at Continuous Glucose Monitoring (CGM) Initiation in Pediatric Type 1 Diabetes Is Associated With Current Glycemic Control but Does Not Predict Future CGM Adherence or Glycemic Control. Canadian Journal of Diabetes. 45(5). 466–472.e4. 1 indexed citations
6.
Lawson, Margaret L., Brenda Bradley, Karen McAssey, et al.. (2020). Timing of CGM initiation in pediatric diabetes: The CGM TIME Trial. Pediatric Diabetes. 22(2). 279–287. 8 indexed citations
7.
8.
Spaic, Tamara, Tracy Robinson, Ellen B Goldbloom, et al.. (2019). Closing the Gap: Results of the Multicenter Canadian Randomized Controlled Trial of Structured Transition in Young Adults With Type 1 Diabetes. Diabetes Care. 42(6). 1018–1026. 49 indexed citations
9.
Patterson, Eric K., Cheril Clarson, Gediminas Cepinskas, et al.. (2016). Elevated Leukocyte Azurophilic Enzymes in Human Diabetic Ketoacidosis Plasma Degrade Cerebrovascular Endothelial Junctional Proteins*. Critical Care Medicine. 44(9). e846–e853. 19 indexed citations
10.
Patterson, Eric K., et al.. (2015). Dynamic regulation of plasma matrix metalloproteinases in human diabetic ketoacidosis. Pediatric Research. 79(2). 295–300. 16 indexed citations
11.
Lawson, Margaret L., Brenda Bradley, Karen McAssey, et al.. (2014). The JDRF CCTN CGM TIME Trial: Timing of Initiation of continuous glucose Monitoring in Established pediatric type 1 diabetes: study protocol, recruitment and baseline characteristics. BMC Pediatrics. 14(1). 183–183. 16 indexed citations
12.
Alharfi, Ibrahim M., Ram Singh, Cheril Clarson, & Jennifer Foster. (2014). Hyperosmolar Hyperglycemic State Without Ketosis in a Toddler With Type 1 Diabetes. Pediatric Emergency Care. 30(7). 485–487. 10 indexed citations
13.
14.
Rauch, R., et al.. (2012). Non-invasive measurement of cardiac output in obese children and adolescents: comparison of electrical cardiometry and transthoracic Doppler echocardiography. Journal of Clinical Monitoring and Computing. 27(2). 187–193. 41 indexed citations
15.
Prapavessis, Harry, Mary E. Jung, Anita G Cramp, et al.. (2009). Lifestyle modification and metformin as long-term treatment options for obese adolescents: study protocol. BMC Public Health. 9(1). 434–434. 16 indexed citations
16.
Mahmud, Farid H., David J. Hill, Meaghan S. Cuerden, & Cheril Clarson. (2009). Impaired Vascular Function in Obese Adolescents with Insulin Resistance. The Journal of Pediatrics. 155(5). 678–682. 54 indexed citations
17.
Mahmud, Farid H., et al.. (2007). Impaired Endothelial Function in Adolescents with Type 1 Diabetes Mellitus. The Journal of Pediatrics. 152(4). 557–562. 36 indexed citations
18.
Menon, Kusum & Cheril Clarson. (2002). Adrenal function in pediatric critical illness*. Pediatric Critical Care Medicine. 3(2). 112–116. 42 indexed citations
19.
Clarson, Cheril, Gerald J.M. Tevaarwerk, Paul G.R. Harding, G. W. Chance, & M. Daria Haust. (1989). Placental weight in diabetic pregnancies. Placenta. 10(3). 275–281. 34 indexed citations
20.
Sochett, Etienne, Denis Daneman, Cheril Clarson, & Robert Ehrlich. (1987). Factors affecting and patterns of residual insulin secretion during the first year of Type 1 (insulin-dependent) diabetes mellitus in children. Diabetologia. 30(7). 453–459. 78 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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2026