Christopher Naugler

4.5k total citations · 1 hit paper
164 papers, 2.8k citations indexed

About

Christopher Naugler is a scholar working on Physiology, General Health Professions and Epidemiology. According to data from OpenAlex, Christopher Naugler has authored 164 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Physiology, 27 papers in General Health Professions and 24 papers in Epidemiology. Recurrent topics in Christopher Naugler's work include Clinical Laboratory Practices and Quality Control (32 papers), Healthcare cost, quality, practices (22 papers) and Meta-analysis and systematic reviews (19 papers). Christopher Naugler is often cited by papers focused on Clinical Laboratory Practices and Quality Control (32 papers), Healthcare cost, quality, practices (22 papers) and Meta-analysis and systematic reviews (19 papers). Christopher Naugler collaborates with scholars based in Canada, United States and Egypt. Christopher Naugler's co-authors include Davinder Sidhu, Emad A. Mohammed, Behrouz H. Far, Peter Tyedmers, Deirdre L. Church, Paul Stolee, Christopher D. Brymer, Mark D. Ludman, Leonard T. Nguyen and Eric Morgen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Christopher Naugler

159 papers receiving 2.7k citations

Hit Papers

Assessing the research landscape and clinical utility of ... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Naugler Canada 29 406 397 295 295 294 164 2.8k
Shaun R. Seaman United Kingdom 27 384 0.9× 209 0.5× 546 1.9× 373 1.3× 297 1.0× 91 5.2k
Bahjat F. Qaqish United States 36 365 0.9× 276 0.7× 373 1.3× 269 0.9× 301 1.0× 121 5.2k
Ofer Harel United States 31 439 1.1× 203 0.5× 301 1.0× 166 0.6× 268 0.9× 114 3.1k
Mark van der Laan United States 36 524 1.3× 220 0.6× 334 1.1× 523 1.8× 418 1.4× 96 4.6k
Carmén Cadarso-Suárez Spain 28 141 0.3× 245 0.6× 225 0.8× 163 0.6× 196 0.7× 130 3.3k
Purushottam W. Laud United States 33 387 1.0× 254 0.6× 441 1.5× 348 1.2× 598 2.0× 132 4.0k
A. J. Scott New Zealand 25 458 1.1× 262 0.7× 382 1.3× 442 1.5× 237 0.8× 65 4.3k
Fan Li United States 33 206 0.5× 207 0.5× 197 0.7× 524 1.8× 141 0.5× 269 4.3k
Holly Janes United States 29 302 0.7× 224 0.6× 233 0.8× 339 1.1× 170 0.6× 100 5.4k
Rachael Fleurence United States 24 473 1.2× 120 0.3× 356 1.2× 692 2.3× 131 0.4× 50 3.2k

Countries citing papers authored by Christopher Naugler

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Naugler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Naugler

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Naugler. A scholar is included among the top collaborators of Christopher Naugler 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 Christopher Naugler. Christopher Naugler 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.
2.
Doktorchik, Chelsea, Elliot A. Martin, Cathy A. Eastwood, et al.. (2021). Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review. JMIR Medical Informatics. 9(2). e23934–e23934. 14 indexed citations
3.
Yang, Jaeun, Yuan Dong, Christopher Naugler, & Lawrence de Koning. (2021). Serum 25-hydroxyvitamin D, cardiovascular risk markers, and incident cardiovascular disease in a high risk community population. Clinical Biochemistry. 93. 36–41.
4.
Ismail, Zahinoor, et al.. (2021). Factors Associated with Hyponatremia in Patients Newly Prescribed Citalopram: A Retrospective Observational Study. Drugs - Real World Outcomes. 8(4). 555–563. 6 indexed citations
6.
Naugler, Christopher, et al.. (2019). What the Doctor Ordered: Improving the Use and Value of Laboratory Testing. C.D. Howe Institute Commentary. 4 indexed citations
7.
Nguyen, Leonard T., Brenda R. Hemmelgarn, Hude Quan, et al.. (2019). Evaluating practice variance among family physicians to identify targets for laboratory utilization management. Clinica Chimica Acta. 497. 1–5. 7 indexed citations
8.
Benzies, Karen, Vibhuti Shah, Khalid Aziz, et al.. (2017). Family Integrated Care (FICare) in Level II Neonatal Intensive Care Units: study protocol for a cluster randomized controlled trial. Trials. 18(1). 282–282. 26 indexed citations
9.
Naugler, Christopher, Charles H. Cook, Louise Morrin, et al.. (2017). Statin Prescriptions for High-Risk Patients Are Increased by Laboratory-Initiated Framingham Risk Scores: A Quality-Improvement Initiative. Canadian Journal of Cardiology. 33(5). 682–684. 7 indexed citations
10.
Morgen, Eric & Christopher Naugler. (2016). Clinical Action Curves. American Journal of Clinical Pathology. 146(4). 478–486. 2 indexed citations
11.
Naugler, Christopher, et al.. (2016). Mean Abnormal Result Rate. American Journal of Clinical Pathology. 145(4). 568–573. 12 indexed citations
12.
Donald, Maoliosa, Kerry McBrien, Wes Jackson, et al.. (2016). Development and implementation of an online clinical pathway for adult chronic kidney disease in primary care: a mixed methods study. BMC Medical Informatics and Decision Making. 16(1). 109–109. 19 indexed citations
13.
Hilsden, Robert J., Ronald Bridges, Catherine Dubé, et al.. (2016). Defining Benchmarks for Adenoma Detection Rate and Adenomas Per Colonoscopy in Patients Undergoing Colonoscopy Due to a Positive Fecal Immunochemical Test. The American Journal of Gastroenterology. 111(12). 1743–1749. 41 indexed citations
14.
Mansoor, Adnan, et al.. (2015). Performance of the CellaVision® DM96 system for detecting red blood cell morphologic abnormalities. Journal of Pathology Informatics. 6(1). 11–11. 16 indexed citations
15.
Sidhu, Davinder, et al.. (2014). Laboratory tests, interpretation, and use of resources. Canadian Family Physician. 60(3). 1 indexed citations
16.
Naugler, Christopher. (2013). Laboratory test use and primary care physician supply.. PubMed. 59(5). e240–5. 7 indexed citations
17.
Manns, Braden, Tali Braun, Alun Edwards, et al.. (2013). Identifying strategies to improve diabetes care in Alberta, Canada, using the knowledge-to-action cycle. CMAJ Open. 1(4). E142–E150. 9 indexed citations
18.
Naugler, Christopher, et al.. (2012). Performance of a simple chromatin-rich segmentation algorithm in quantifying basal cell carcinoma from histology images. BMC Research Notes. 5(1). 35–35. 4 indexed citations
19.
Naugler, Christopher. (2010). Population genetics of cancer cell clones: possible implications of cancer stem cells. Theoretical Biology and Medical Modelling. 7(1). 42–42. 11 indexed citations
20.
Naugler, Christopher & Robert Liwski. (2009). HLA risk markers for chronic myelogenous leukemia in Eastern Canada. Leukemia & lymphoma. 50(2). 254–259. 7 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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