Allison B. McCoy

3.5k total citations · 1 hit paper
98 papers, 2.0k citations indexed

About

Allison B. McCoy is a scholar working on Health Information Management, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Allison B. McCoy has authored 98 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Health Information Management, 18 papers in Molecular Biology and 17 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Allison B. McCoy's work include Electronic Health Records Systems (42 papers), Biomedical Text Mining and Ontologies (18 papers) and Healthcare Technology and Patient Monitoring (13 papers). Allison B. McCoy is often cited by papers focused on Electronic Health Records Systems (42 papers), Biomedical Text Mining and Ontologies (18 papers) and Healthcare Technology and Patient Monitoring (13 papers). Allison B. McCoy collaborates with scholars based in United States, Belgium and Australia. Allison B. McCoy's co-authors include Dean F. Sittig, Adam Wright, Aileen P. Wright, Siru Liu, Josh F. Peterson, Lemuel R. Waitman, Julia B. Lewis, Scott D. Nelson, Robert W. Turer and Eric J. Thomas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Journal of the American College of Cardiology.

In The Last Decade

Allison B. McCoy

87 papers receiving 2.0k citations

Hit Papers

Using AI-generated sugges... 2023 2026 2024 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison B. McCoy United States 24 606 365 277 276 276 98 2.0k
Reed T. Sutton Canada 11 452 0.7× 329 0.9× 313 1.1× 226 0.8× 272 1.0× 21 1.9k
Li Zhou United States 34 558 0.9× 842 2.3× 191 0.7× 389 1.4× 364 1.3× 172 3.4k
Maxim Topaz United States 31 527 0.9× 565 1.5× 516 1.9× 675 2.4× 378 1.4× 184 3.0k
Kenrick Cato United States 22 462 0.8× 319 0.9× 324 1.2× 668 2.4× 352 1.3× 125 2.0k
Peter J. Embí United States 29 973 1.6× 337 0.9× 168 0.6× 642 2.3× 708 2.6× 103 2.8k
Adam Landman United States 30 476 0.8× 230 0.6× 322 1.2× 936 3.4× 492 1.8× 122 3.0k
Karen I. Kroeker Canada 24 454 0.7× 316 0.9× 313 1.1× 293 1.1× 502 1.8× 108 3.2k
Abel Kho United States 29 534 0.9× 608 1.7× 156 0.6× 530 1.9× 399 1.4× 126 3.1k
Christopher A. Harle United States 20 275 0.5× 324 0.9× 224 0.8× 481 1.7× 461 1.7× 107 2.0k
Stephen Weng United Kingdom 21 433 0.7× 367 1.0× 146 0.5× 282 1.0× 739 2.7× 67 2.8k

Countries citing papers authored by Allison B. McCoy

Since Specialization
Citations

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

Fields of papers citing papers by Allison B. McCoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison B. McCoy. 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 Allison B. McCoy. The network helps show where Allison B. McCoy may publish in the future.

Co-authorship network of co-authors of Allison B. McCoy

This figure shows the co-authorship network connecting the top 25 collaborators of Allison B. McCoy. A scholar is included among the top collaborators of Allison B. McCoy 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 Allison B. McCoy. Allison B. McCoy 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.
Liu, Siru, Allison B. McCoy, & Adam Wright. (2025). Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines. Journal of the American Medical Informatics Association. 32(4). 605–615. 20 indexed citations
2.
Liu, Siru, Allison B. McCoy, Dean F. Sittig, et al.. (2025). A standard-based taxonomy of features that affect user response to clinical decision support alerts. BMC Medical Informatics and Decision Making. 25(1). 389–389.
3.
Liu, Siru, et al.. (2025). Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation. Journal of the American Medical Informatics Association. 32(6). 1032–1039. 3 indexed citations
4.
Smith, Joshua R., et al.. (2025). High-Frequency Utilization of the Outpatient Messaging System in a Specialized Outpatient Catatonia Clinic for Individuals with Autism Spectrum Disorder. Journal of Child and Adolescent Psychopharmacology. 35(7). 424–430.
5.
Liu, Siru, Aileen P. Wright, Allison B. McCoy, et al.. (2024). Using large language model to guide patients to create efficient and comprehensive clinical care message. Journal of the American Medical Informatics Association. 31(8). 1665–1670. 16 indexed citations
6.
Liu, Siru, Allison B. McCoy, Aileen P. Wright, et al.. (2024). Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support. Journal of the American Medical Informatics Association. 31(6). 1388–1396. 15 indexed citations
7.
Liu, Siru, Allison B. McCoy, Josh F. Peterson, et al.. (2024). Leveraging explainable artificial intelligence to optimize clinical decision support. Journal of the American Medical Informatics Association. 31(4). 968–974. 15 indexed citations
8.
Stollings, Joanna L., Allison B. McCoy, Mary Lynn Dear, et al.. (2024). Pragmatic Removal of Penicillin Electronic Health Record Labels: The PROPEL Trial. Journal of Allergy and Clinical Immunology. 153(2). AB155–AB155. 1 indexed citations
9.
Samal, Lipika, Skye Aaron, Allison B. McCoy, et al.. (2023). Refining Clinical Phenotypes to Improve Clinical Decision Support and Reduce Alert Fatigue: A Feasibility Study. Applied Clinical Informatics. 14(3). 528–537. 3 indexed citations
10.
Mayberry, Lindsay S., et al.. (2023). Rates and Correlates of Uptake of Continuous Glucose Monitors Among Adults with Type 2 Diabetes in Primary Care and Endocrinology Settings. Journal of General Internal Medicine. 38(11). 2546–2552. 29 indexed citations
11.
Liu, Siru, Aileen P. Wright, Barron L. Patterson, et al.. (2023). Using AI-generated suggestions from ChatGPT to optimize clinical decision support. Journal of the American Medical Informatics Association. 30(7). 1237–1245. 233 indexed citations breakdown →
12.
McCoy, Allison B., Thomas S. Reese, Adam Wright, et al.. (2023). POINT: Pipeline for Offline Conversion and Integration of Geocodes and Neighborhood Data. Applied Clinical Informatics. 14(5). 833–842.
13.
McCoy, Allison B., et al.. (2023). The Impact of Clinical Decision Support on Health Disparities and the Digital Divide. Yearbook of Medical Informatics. 32(1). 169–178. 9 indexed citations
14.
Liu, Siru, Joseph J. Schlesinger, Allison B. McCoy, et al.. (2022). New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record. Journal of the American Medical Informatics Association. 30(1). 120–131. 19 indexed citations
15.
Zhao, Juan, Wei‐Qi Wei, Garick D. Hill, et al.. (2022). MACHINE LEARNING TO IMPROVE INTERSTAGE RISK PREDICTION FOLLOWING STAGE I SINGLE VENTRICLE PALLIATION. Journal of the American College of Cardiology. 79(9). 1418–1418. 1 indexed citations
16.
McCoy, Allison B., et al.. (2017). Turning Off Medication Alerts to Reduce Clinical Decision Support Overrides.. AMIA. 1 indexed citations
17.
Wright, Adam, Marie Krousel‐Wood, Eric J. Thomas, et al.. (2015). Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs. Applied Clinical Informatics. 6(2). 334–344. 7 indexed citations
18.
Wu, Yonghui, Adam Wright, Hua Xu, Allison B. McCoy, & Dean F. Sittig. (2014). Development of a Unified Computable Problem-Medication Knowledge base.. AMIA. 1 indexed citations
19.
McCoy, Allison B., Stanislav Henkin, Matthew L. Flaherty, Dean F. Sittig, & Adam Wright. (2013). Validation of an Association Rule Mining-Based Method to Infer Associations Between Medications and Problems. Applied Clinical Informatics. 4(1). 100–109. 20 indexed citations
20.
Smith, Joshua, et al.. (2012). Reducing patient re-identification risk for laboratory results within research datasets. Journal of the American Medical Informatics Association. 20(1). 95–101. 15 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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