Michael G. Kahn

5.7k total citations · 1 hit paper
134 papers, 3.4k citations indexed

About

Michael G. Kahn is a scholar working on Health Information Management, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Michael G. Kahn has authored 134 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Health Information Management, 32 papers in Management Science and Operations Research and 27 papers in Artificial Intelligence. Recurrent topics in Michael G. Kahn's work include Electronic Health Records Systems (37 papers), Data Quality and Management (28 papers) and Biomedical Text Mining and Ontologies (15 papers). Michael G. Kahn is often cited by papers focused on Electronic Health Records Systems (37 papers), Data Quality and Management (28 papers) and Biomedical Text Mining and Ontologies (15 papers). Michael G. Kahn collaborates with scholars based in United States, United Kingdom and India. Michael G. Kahn's co-authors include Jeffrey S. Brown, Chunhua Weng, Daksha Ranade, Lisa M. Schilling, Steve Cousins, Toan C. Ong, Lawrence M. Fagan, Diane L. Fairclough, Marion R. Sills and John F. Steiner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Michael G. Kahn

129 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data

2016 347 citations Michael G. Kahn, Siaw‐Teng Liaw et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael G. Kahn United States	33	880	678	575	494	455	134	3.4k
Harold P. Lehmann United States	30	759 0.9×	572 0.8×	185 0.3×	611 1.2×	567 1.2×	214	5.2k
Nicole G. Weiskopf United States	19	897 1.0×	634 0.9×	512 0.9×	434 0.9×	388 0.9×	39	2.6k
Peter J. Embí United States	29	973 1.1×	337 0.5×	216 0.4×	708 1.4×	329 0.7×	103	2.8k
Arie Hasman Netherlands	31	1.2k 1.4×	444 0.7×	233 0.4×	539 1.1×	634 1.4×	229	3.5k
William R. Hogan United States	31	556 0.6×	1.2k 1.7×	203 0.4×	393 0.8×	779 1.7×	149	3.8k
Rae Woong Park South Korea	28	626 0.7×	763 1.1×	205 0.4×	305 0.6×	628 1.4×	191	3.7k
Kensaku Kawamoto United States	27	1.8k 2.0×	485 0.7×	212 0.4×	792 1.6×	643 1.4×	165	4.4k
Siaw‐Teng Liaw Australia	30	702 0.8×	383 0.6×	313 0.5×	669 1.4×	265 0.6×	174	3.1k
Samuel J. Wang United States	28	1.3k 1.4×	353 0.5×	208 0.4×	452 0.9×	436 1.0×	55	3.8k
Shaun J. Grannis United States	27	618 0.7×	351 0.5×	395 0.7×	413 0.8×	185 0.4×	139	2.4k

Countries citing papers authored by Michael G. Kahn

Since Specialization

Citations

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

Fields of papers citing papers by Michael G. Kahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Kahn. 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 Michael G. Kahn. The network helps show where Michael G. Kahn may publish in the future.

Co-authorship network of co-authors of Michael G. Kahn

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Kahn. A scholar is included among the top collaborators of Michael G. Kahn 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 Michael G. Kahn. Michael G. Kahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kahn, Michael G., Tellen D. Bennett, Rachel Deer, et al.. (2025). Identifying who has long COVID in the USA: a machine learning approach using N3C data. UNC Libraries.

Brooks, Ian M., et al.. (2024). MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance. JAMIA Open. 7(2). ooae045–ooae045. 5 indexed citations

Trinkley, Katy E., Larry A. Allen, Tellen D. Bennett, et al.. (2023). Sustained Effect of Clinical Decision Support for Heart Failure: A Natural Experiment Using Implementation Science. Applied Clinical Informatics. 14(5). 822–832. 6 indexed citations

Mayer, David, Luke V. Rasmussen, Christopher Roark, et al.. (2022). ReviewR: a light-weight and extensible tool for manual review of clinical records. JAMIA Open. 5(3). ooac071–ooac071. 3 indexed citations

Kahn, Michael G., et al.. (2021). Migrating a research data warehouse to a public cloud: challenges and opportunities. Journal of the American Medical Informatics Association. 29(4). 592–600. 20 indexed citations

Trinkley, Katy E., Miranda Kroehl, Michael G. Kahn, et al.. (2021). Applying Clinical Decision Support Design Best Practices With the Practical Robust Implementation and Sustainability Model Versus Reliance on Commercially Available Clinical Decision Support Tools: Randomized Controlled Trial. JMIR Medical Informatics. 9(3). e24359–e24359. 23 indexed citations

Liaw, Siaw‐Teng, Jitendra Jonnagaddala, Myron Anthony Godinho, et al.. (2020). Quality assessment of real-world data repositories across the data life cycle: A literature review. Journal of the American Medical Informatics Association. 28(7). 1591–1599. 47 indexed citations

Bondy, Jessica, Michael G. Kahn, Emily McCormick, et al.. (2018). Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health Observation Regional Data Service. Journal of Public Health Management and Practice. 25(5). 498–507. 15 indexed citations

Kahn, Michael G., et al.. (2016). PEDSnet: from building a high-quality CDRN to conducting science.. AMIA. 1 indexed citations

10.

Kahn, Michael G. & Chunhua Weng. (2016). Clinical Research Informatics for Big Data and Precision Medicine. Yearbook of Medical Informatics. 25(1). 211–218. 23 indexed citations

11.

Bailey, L. Charles, David E. Milov, Kelly J. Kelleher, et al.. (2013). Multi-Institutional Sharing of Electronic Health Record Data to Assess Childhood Obesity. PLoS ONE. 8(6). e66192–e66192. 52 indexed citations

12.

Pace, Wilson D., et al.. (2012). Federated queries for comparative effectiveness research: performance analysis.. PubMed. 175. 9–18. 3 indexed citations

13.

Kahn, Michael G. & Daksha Ranade. (2010). The impact of electronic medical records data sources on an adverse drug event quality measure. Journal of the American Medical Informatics Association. 17(2). 185–191. 25 indexed citations

14.

Kahn, Michael G.. (2006). Technical analysis plain and simple: charting the markets in your language, second edition. 2 indexed citations

15.

Kahn, Michael G., et al.. (2002). Protocol Design Patterns: Domain-oriented Abstractions to Support the Authoring of Computer-executable Clinical Trials. PubMed Central. 1114–1114. 1 indexed citations

16.

Kahn, Michael G., et al.. (1996). Using contextual inquiry to discover physicians' true needs. John Wiley & Sons, Inc. eBooks. 229–248. 9 indexed citations

17.

Kahn, Michael G., et al.. (1995). An Expert System for Dosing Renally Excreted Drugs. PubMed Central. 960–960. 1 indexed citations

18.

Whitman, Eric D., Mark E. Frisse, & Michael G. Kahn. (1995). The Impact of Data Sharing on Data Quality. PubMed Central. 952–952. 1 indexed citations

19.

Kahn, Michael G., et al.. (1985). Representation and Use of Temporal Information in ONCOCIN. PubMed Central. 172–176. 17 indexed citations

20.

Whiting-O'Keefe, Quinn E., et al.. (1984). A Method for Improving the Quality of Data in STOR. PubMed Central. 425–428. 2 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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