David C. Kendrick

824 total citations
20 papers, 527 citations indexed

About

David C. Kendrick is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, David C. Kendrick has authored 20 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in Epidemiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in David C. Kendrick's work include Chronic Disease Management Strategies (3 papers), Diabetes Management and Education (3 papers) and Diabetes Management and Research (3 papers). David C. Kendrick is often cited by papers focused on Chronic Disease Management Strategies (3 papers), Diabetes Management and Education (3 papers) and Diabetes Management and Research (3 papers). David C. Kendrick collaborates with scholars based in United States and Canada. David C. Kendrick's co-authors include Karen Doucette, Louise C. Ivers, J. John Sepkoski, Blackford Middleton, Eric Pan, David W. Bates, Julie M. Hook, Janice D. Walker, Julia Adler‐Milstein and Clive R. Hollin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Econometrica and Diabetes Care.

In The Last Decade

David C. Kendrick

20 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C. Kendrick United States 9 238 142 112 84 77 20 527
Peter S. Rodriguez Canada 10 40 0.2× 371 2.6× 38 0.3× 116 1.4× 104 1.4× 15 1.0k
Myo Minn Oo Myanmar 14 277 1.2× 75 0.5× 202 1.8× 14 0.2× 86 1.1× 45 530
Raju Jotkar India 10 51 0.2× 372 2.6× 68 0.6× 116 1.4× 87 1.1× 16 1.0k
José Diego Brito-Sousa Brazil 12 167 0.7× 123 0.9× 55 0.5× 46 0.5× 45 0.6× 30 604
Dileepa Senajith Ediriweera Sri Lanka 14 39 0.2× 227 1.6× 136 1.2× 44 0.5× 22 0.3× 67 716
Sara Mursleen Canada 7 80 0.3× 28 0.2× 37 0.3× 34 0.4× 110 1.4× 13 321
Anita C. Benoit Canada 15 205 0.9× 35 0.2× 191 1.7× 15 0.2× 186 2.4× 41 624
Prakash Bhatia India 6 90 0.4× 379 2.7× 90 0.8× 116 1.4× 50 0.6× 11 638
Diederike Geelhoed Mozambique 14 71 0.3× 95 0.7× 82 0.7× 28 0.3× 107 1.4× 22 546
Sally Mackay New Zealand 18 21 0.1× 32 0.2× 58 0.5× 35 0.4× 79 1.0× 87 766

Countries citing papers authored by David C. Kendrick

Since Specialization
Citations

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

Fields of papers citing papers by David C. Kendrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Kendrick. 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 David C. Kendrick. The network helps show where David C. Kendrick may publish in the future.

Co-authorship network of co-authors of David C. Kendrick

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Kendrick. A scholar is included among the top collaborators of David C. Kendrick 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 David C. Kendrick. David C. Kendrick 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.
Chen, Sixia, Amanda E. Janitz, William H. Beasley, et al.. (2023). Informatics tools to implement late cardiovascular risk prediction modeling for population management of high‐risk childhood cancer survivors. Pediatric Blood & Cancer. 70(9). e30474–e30474. 1 indexed citations
2.
Janitz, Amanda E., et al.. (2023). Rural, Large Town, and Urban Differences in Optimal Subspecialty Follow-up and Survivorship Care Plan Documentation among Childhood Cancer Survivors. Cancer Epidemiology Biomarkers & Prevention. 32(5). 634–641. 5 indexed citations
3.
Carabin, Hélène, Zsolt Nagykáldi, Tabitha Garwe, et al.. (2020). Validity of Medical Record Abstraction and Electronic Health Record–Generated Reports to Assess Performance on Cardiovascular Quality Measures in Primary Care. JAMA Network Open. 3(7). e209411–e209411. 5 indexed citations
4.
Hahn, Elizabeth A., et al.. (2019). Variation and Change Over Time in PROMIS-29 Survey Results Among Primary Care Patients With Type 2 Diabetes. SHILAP Revista de lepidopterología. 6(2). 135–147. 5 indexed citations
5.
Scholle, Sarah Hudson, Suzanne Morton, Daren Anderson, et al.. (2018). Implementation of the PROMIS-29 in Routine Care for People With Diabetes. Journal of Ambulatory Care Management. 41(4). 274–287. 26 indexed citations
6.
Lane, Julia, et al.. (2018). A Locally Based Initiative to Support People and Communities by Transformative Use of Data. 1 indexed citations
7.
Kendrick, David C., et al.. (2014). An Oklahoma approach to healthcare improvement: leveraging technology and innovative partnerships to reduce costs and improve care quality.. PubMed. 107(1). 25–6. 1 indexed citations
8.
Roehrs, Carol, et al.. (2013). Preparing Faculty to Use the Quality Matters Model for Course Improvement. 10 indexed citations
9.
Allmon, Warren D., et al.. (2012). Using Museums to Teach Undergraduate Paleontology and Evolution. The Paleontological Society Special Publications. 12. 231–246. 4 indexed citations
10.
Kendrick, David C., et al.. (2011). The Landscape of Quality Assurance in Distance Education. 75. 138–149. 8 indexed citations
11.
Kendrick, David C.. (2007). Theoretical morphology of the crinoid cup. Paleobiology. 33(2). 337–350. 1 indexed citations
12.
Kendrick, David C., et al.. (2007). Crossing the Evidence Chasm: Building Evidence Bridges from Process Changes to Clinical Outcomes. Journal of the American Medical Informatics Association. 14(3). 329–339. 9 indexed citations
13.
Adler‐Milstein, Julia, Eric Pan, Janice D. Walker, et al.. (2007). The Cost of Information Technology-Enabled Diabetes Management. Disease Management. 10(3). 115–128. 16 indexed citations
14.
Pan, Eric, Janice D. Walker, Julia Adler‐Milstein, et al.. (2007). Benefits of Information Technology–Enabled Diabetes Management. Diabetes Care. 30(5). 1137–1142. 56 indexed citations
15.
Kendrick, David C., et al.. (2005). Technology Leadership Skills for Administrators. Society for Information Technology & Teacher Education International Conference. 2005(1). 1852–1858. 1 indexed citations
16.
Ivers, Louise C., David C. Kendrick, & Karen Doucette. (2005). Efficacy of Antiretroviral Therapy Programs in Resource‐Poor Settings: A Meta‐analysis of the Published Literature. Clinical Infectious Diseases. 41(2). 217–224. 251 indexed citations
17.
Kendrick, David C.. (1996). Morphospace Filling in Flexible Crinoids. The Paleontological Society Special Publications. 8. 208–208. 4 indexed citations
18.
Hollin, Clive R. & David C. Kendrick. (1994). Managing Behavioural Treatment: Policy and Pratice for the Delinquent Adolescent. Medical Entomology and Zoology. 11 indexed citations
19.
Sepkoski, J. John & David C. Kendrick. (1993). Numerical experiments with model monophyletic and paraphyletic taxa. Paleobiology. 19(2). 168–184. 99 indexed citations
20.
Kendrick, David C., et al.. (1969). Programming Investment in the Process Industries--An Approach to Sectoral Planning. Econometrica. 37(4). 743–743. 13 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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