Katherine Cappell

3.1k total citations · 1 hit paper
34 papers, 2.3k citations indexed

About

Katherine Cappell is a scholar working on Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Katherine Cappell has authored 34 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Epidemiology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Katherine Cappell's work include Tuberous Sclerosis Complex Research (6 papers), Diabetes Treatment and Management (6 papers) and Respiratory viral infections research (4 papers). Katherine Cappell is often cited by papers focused on Tuberous Sclerosis Complex Research (6 papers), Diabetes Treatment and Management (6 papers) and Respiratory viral infections research (4 papers). Katherine Cappell collaborates with scholars based in United States, United Kingdom and Sweden. Katherine Cappell's co-authors include Patricia A. Reuter‐Lorenz, Leon Gmeindl, Machaon Bonafede, Sandhya Sapra, Pooja Desai, Neel Shah, Stewart J. Tepper, Karen Jones, Thomas A. Zeffiro and John Agnew and has published in prestigious journals such as Neuron, Diabetes Care and Diabetes.

In The Last Decade

Katherine Cappell

31 papers receiving 2.2k citations

Hit Papers

Neurocognitive Aging and the Compensation Hypothesis 2008 2026 2014 2020 2008 250 500 750 1000

Peers

Katherine Cappell
André Goedegebure Netherlands
L. Jaap Kappelle Netherlands
Helena M. Blumen United States
Ana M. Daugherty United States
H. Julia Hannay United States
Nathan F. Johnson United States
Frédéric Assal Switzerland
Katherine Cappell
Citations per year, relative to Katherine Cappell Katherine Cappell (= 1×) peers Stephen C. Bowden

Countries citing papers authored by Katherine Cappell

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Cappell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Cappell

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Cappell. A scholar is included among the top collaborators of Katherine Cappell 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 Katherine Cappell. Katherine Cappell 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.
Hunter, Theresa, et al.. (2025). Real‐world use of tirzepatide among individuals without evidence of type 2 diabetes: Results from the Veradigm® database. Diabetes Obesity and Metabolism. 27(6). 3185–3194. 2 indexed citations
2.
McGovern, Ian, Katherine Cappell, Alina Bogdanov, & Mendel Haag. (2024). Number of Influenza Risk Factors Informs an Adult's Increased Potential of Severe Influenza Outcomes: A Multiseason Cohort Study From 2015 to 2020. Open Forum Infectious Diseases. 11(5). ofae203–ofae203. 6 indexed citations
3.
McGovern, Ian, Katherine Cappell, Alina Bogdanov, & Mendel Haag. (2024). Incidence of Influenza-related Medical Encounters and the Associated Healthcare Resource Use and Complications Across Adult Age Groups in the United States During the 2015–2020 Influenza Seasons. Clinical Infectious Diseases. 79(3). 778–786. 4 indexed citations
4.
Shah, Shailja C., et al.. (2023). Diagnosis and treatment patterns among patients with newly diagnosed Helicobacter pylori infection in the United States 2016–2019. Scientific Reports. 13(1). 1375–1375. 20 indexed citations
5.
Bonafede, Machaon, Beata Korytowsky, Prianka Singh, et al.. (2019). Treatment Patterns and Economic Burden by Lines of Therapy Among Patients with Advanced Hepatocellular Carcinoma Treated with Systemic Cancer Therapy. Journal of Gastrointestinal Cancer. 51(1). 217–226. 14 indexed citations
6.
Schelfhout, Jonathan, Machaon Bonafede, Katherine Cappell, et al.. (2019). Impact of cytomegalovirus complications on resource utilization and costs following hematopoietic stem cell transplant. Current Medical Research and Opinion. 36(1). 33–41. 7 indexed citations
7.
Colice, Gene, David Price, Maria Gerhardsson de Verdier, et al.. (2017). The effect of DPP-4 inhibitors on asthma control: an administrative database study to evaluate a potential pathophysiological relationship. PubMed. Volume 8. 231–240. 21 indexed citations
8.
Song, Xue, Zhimei Liu, Katherine Cappell, et al.. (2016). Healthcare utilization and costs in patients with tuberous sclerosiscomplex-related renal angiomyolipoma. Journal of Medical Economics. 20(4). 388–394. 5 indexed citations
9.
Bissler, John J., Katherine Cappell, Hearns W. Charles, et al.. (2016). Long-term Clinical Morbidity in Patients With Renal Angiomyolipoma Associated With Tuberous Sclerosis Complex. Urology. 95. 80–87. 22 indexed citations
11.
Song, Xue, Ruben G.W. Quek, Shravanthi R. Gandra, et al.. (2015). Productivity loss and indirect costs associated with cardiovascular events and related clinical procedures. BMC Health Services Research. 15(1). 245–245. 63 indexed citations
12.
Johnston, Stephen S., John J. Sheehan, Ellen Riehle, et al.. (2015). Development and validation of a u.s. Administrative claims-based algorithm to classify patients with type 2 diabetes mellitus into renal impairment stages. Value in Health. 18(3). A10–A10. 2 indexed citations
13.
Bissler, John J., Katherine Cappell, Hearns W. Charles, et al.. (2015). Rates of interventional procedures in patients with tuberous sclerosis complex-related renal angiomyolipoma. Current Medical Research and Opinion. 31(8). 1501–1507. 11 indexed citations
14.
Johnston, Stephen S., John J. Sheehan, Manan Shah, et al.. (2015). Cardiovascular event costs in patients with Type 2 diabetes mellitus. Journal of Medical Economics. 18(12). 1032–1040. 8 indexed citations
16.
Cappell, Katherine, et al.. (2014). Natural History Of Patients With Tuberous Sclerosis Complex Related Renal Angiomyolipoma. Value in Health. 17(3). A56–A56. 1 indexed citations
17.
Johnston, Stephen S., et al.. (2014). Retrospective Study of Adherence to Glucagon-like Peptide-1 Receptor Agonist Therapy in Patients with Type 2 Diabetes Mellitus in the United States. Advances in Therapy. 31(11). 1119–1133. 66 indexed citations
18.
Gitlin, Matthew, David M. Spiegel, Jeffrey L. Carson, et al.. (2012). Outpatient red blood cell transfusion payments among patients on chronic dialysis. BMC Nephrology. 13(1). 145–145. 7 indexed citations
19.
Cappell, Katherine, Leon Gmeindl, & Patricia A. Reuter‐Lorenz. (2009). Age differences in prefontal recruitment during verbal working memory maintenance depend on memory load. Cortex. 46(4). 462–473. 294 indexed citations
20.
Eden, Guinevere F., Karen Jones, Katherine Cappell, et al.. (2004). Neural Changes following Remediation in Adult Developmental Dyslexia. Neuron. 44(3). 411–422. 214 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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