Natalie M. Pageler

1.7k total citations
53 papers, 1.2k citations indexed

About

Natalie M. Pageler is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Natalie M. Pageler has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in General Health Professions, 21 papers in Health Information Management and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Natalie M. Pageler's work include Electronic Health Records Systems (21 papers), Healthcare Systems and Technology (9 papers) and Patient Safety and Medication Errors (8 papers). Natalie M. Pageler is often cited by papers focused on Electronic Health Records Systems (21 papers), Healthcare Systems and Technology (9 papers) and Patient Safety and Medication Errors (8 papers). Natalie M. Pageler collaborates with scholars based in United States, Denmark and Singapore. Natalie M. Pageler's co-authors include Chris Longhurst, Paul J. Sharek, Tzielan Lee, Robert L. Poole, Deborah Franzon, David N. Cornfield, Andrew Y. Shin, Michael J. Tierney, Madelyn Kahana and Claudia Algaze and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Natalie M. Pageler

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie M. Pageler United States 20 382 368 296 160 125 53 1.2k
Frank Chang United States 19 352 0.9× 381 1.0× 218 0.7× 101 0.6× 112 0.9× 54 1.3k
Michelle A. Chui United States 25 298 0.8× 412 1.1× 171 0.6× 72 0.5× 53 0.4× 102 1.6k
Koren Hyogene Kwag Italy 10 280 0.7× 281 0.8× 255 0.9× 78 0.5× 118 0.9× 17 963
Nancy Winslade Canada 22 286 0.7× 389 1.1× 517 1.7× 77 0.5× 85 0.7× 40 1.8k
Peter G. Rossos Canada 18 196 0.5× 544 1.5× 253 0.9× 119 0.7× 232 1.9× 41 1.3k
Faye Smith United States 16 327 0.9× 434 1.2× 185 0.6× 106 0.7× 48 0.4× 20 1.7k
Gail M. Keenan United States 23 589 1.5× 595 1.6× 426 1.4× 36 0.2× 67 0.5× 104 1.7k
Sue Moorhead United States 20 316 0.8× 674 1.8× 256 0.9× 34 0.2× 105 0.8× 100 1.8k
Anita D. Misra‐Hebert United States 19 106 0.3× 424 1.2× 290 1.0× 67 0.4× 131 1.0× 67 1.3k
Nathan Mendes Souza Brazil 8 232 0.6× 341 0.9× 140 0.5× 102 0.6× 58 0.5× 24 930

Countries citing papers authored by Natalie M. Pageler

Since Specialization
Citations

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

Fields of papers citing papers by Natalie M. Pageler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie M. Pageler. 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 Natalie M. Pageler. The network helps show where Natalie M. Pageler may publish in the future.

Co-authorship network of co-authors of Natalie M. Pageler

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie M. Pageler. A scholar is included among the top collaborators of Natalie M. Pageler 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 Natalie M. Pageler. Natalie M. Pageler 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.
Goldstein, Rachel, et al.. (2024). Evaluation of a Large Language Model to Identify Confidential Content in Adolescent Encounter Notes. JAMA Pediatrics. 178(3). 308–308. 6 indexed citations
2.
Dussaq, Alex, et al.. (2024). Using a Large Language Model to Identify Adolescent Patient Portal Account Access by Guardians. JAMA Network Open. 7(6). e2418454–e2418454.
3.
Kim, Jiyeong, Michael L. Chen, Shawheen J. Rezaei, et al.. (2024). Perspectives on Artificial Intelligence–Generated Responses to Patient Messages. JAMA Network Open. 7(10). e2438535–e2438535. 11 indexed citations
4.
Xie, James, et al.. (2023). Creating a Guardrail System to Ensure Appropriate Activation of Adolescent Portal Accounts. Applied Clinical Informatics. 14(2). 258–262. 7 indexed citations
5.
Goldstein, Rachel, et al.. (2023). The Prevalence of Confidential Content in Adolescent Progress Notes Prior to the 21st Century Cures Act Information Blocking Mandate. Applied Clinical Informatics. 14(2). 337–344. 4 indexed citations
6.
Pageler, Natalie M., et al.. (2023). Association between Electronic Health Record Implementations and Hospital-Acquired Conditions in Pediatric Hospitals. Applied Clinical Informatics. 14(3). 521–527. 3 indexed citations
7.
Carlson, Jennifer L., et al.. (2023). Providing Online Portal Access to Families of Adolescents and Young Adults with Diminished Capacity at an Academic Children's Hospital: A Case Report. Applied Clinical Informatics. 14(1). 128–133. 2 indexed citations
8.
Algaze, Claudia, et al.. (2023). Using Clinical Decision Support Systems to Decrease Intravenous Acetaminophen Use: Implementation and Lessons Learned. Applied Clinical Informatics. 15(1). 64–74. 1 indexed citations
9.
Steinberg, Ethan, et al.. (2023). A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes. Applied Clinical Informatics. 14(3). 400–407. 5 indexed citations
10.
Morse, Keith, Scott L. Fleming, David Scheinker, et al.. (2022). Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model. Applied Clinical Informatics. 13(2). 431–438. 3 indexed citations
11.
Wood, Matthew J. A., et al.. (2021). Comparing patient experience survey scores between telehealth and in-person ambulatory pediatric subspecialty visits. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Xie, James, et al.. (2021). Ensuring Adolescent Patient Portal Confidentiality in the Age of the Cures Act Final Rule. Journal of Adolescent Health. 69(6). 933–939. 22 indexed citations
13.
Pageler, Natalie M., et al.. (2021). Pediatric subspecialty telemedicine use from the patient and provider perspective. Pediatric Research. 91(1). 241–246. 28 indexed citations
14.
Vilendrer, Stacie, Birju Patel, Whitney Chadwick, et al.. (2020). Rapid Deployment of Inpatient Telemedicine In Response to COVID-19 Across Three Health Systems. Journal of the American Medical Informatics Association. 27(7). 1102–1109. 68 indexed citations
15.
Algaze, Claudia, et al.. (2015). Use of a Checklist and Clinical Decision Support Tool Reduces Laboratory Use and Improves Cost. PEDIATRICS. 137(1). 87 indexed citations
16.
Poole, Robert L., et al.. (2014). Propylene Glycol Toxicity in Children. The Journal of Pediatric Pharmacology and Therapeutics. 19(4). 277–282. 81 indexed citations
17.
May, Lindsay J., et al.. (2014). Optimizing Care of Adults With Congenital Heart Disease in a Pediatric Cardiovascular ICU Using Electronic Clinical Decision Support*. Pediatric Critical Care Medicine. 15(5). 428–434. 10 indexed citations
18.
Grover, Casey A., et al.. (2012). Significant Toxicity in a Young Female After Low-Dose Tricyclic Antidepressant Ingestion. Pediatric Emergency Care. 28(10). 1066–1069. 5 indexed citations
19.
Kraemer, Helena C., et al.. (2005). Heart Rate Correlates of Attachment Status in Young Mothers and Their Infants. Journal of the American Academy of Child & Adolescent Psychiatry. 44(5). 470–476. 35 indexed citations
20.
Pageler, Natalie M., Vinod Menon, Noah Merin, et al.. (2003). Effect of head orientation on gaze processing in fusiform gyrus and superior temporal sulcus. NeuroImage. 20(1). 318–329. 51 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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