Jon Duke

3.8k total citations · 1 hit paper
52 papers, 2.2k citations indexed

About

Jon Duke is a scholar working on Health Information Management, Toxicology and Molecular Biology. According to data from OpenAlex, Jon Duke has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health Information Management, 11 papers in Toxicology and 9 papers in Molecular Biology. Recurrent topics in Jon Duke's work include Electronic Health Records Systems (14 papers), Pharmacovigilance and Adverse Drug Reactions (11 papers) and Biomedical Text Mining and Ontologies (9 papers). Jon Duke is often cited by papers focused on Electronic Health Records Systems (14 papers), Pharmacovigilance and Adverse Drug Reactions (11 papers) and Biomedical Text Mining and Ontologies (9 papers). Jon Duke collaborates with scholars based in United States, Australia and South Korea. Jon Duke's co-authors include Martijn J. Schuemie, Patrick Ryan, Christian Reich, George Hripcsak, Marc A. Suchard, Nicole Pratt, Vojtech Huser, Rae Woong Park, Nigam H. Shah and G. Niklas Norén and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and JAMA.

In The Last Decade

Jon Duke

50 papers receiving 2.1k 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.

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers

2015 749 citations George Hripcsak, Jon Duke et al. Studies in health technology and informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Duke United States	23	490	465	463	265	262	52	2.2k
Christian Reich United States	21	487 1.0×	575 1.2×	617 1.3×	303 1.1×	431 1.6×	57	3.0k
Rae Woong Park South Korea	28	626 1.3×	628 1.4×	763 1.6×	153 0.6×	377 1.4×	191	3.7k
David Madigan United States	24	249 0.5×	335 0.7×	690 1.5×	528 2.0×	142 0.5×	47	2.6k
Taxiarchis Botsis United States	20	387 0.8×	412 0.9×	569 1.2×	246 0.9×	83 0.3×	59	1.9k
Paea LePendu United States	21	156 0.3×	571 1.2×	504 1.1×	436 1.6×	181 0.7×	40	1.9k
Jianying Hu United States	25	490 1.0×	590 1.3×	1.0k 2.2×	70 0.3×	118 0.5×	77	2.6k
Peggy Peissig United States	28	531 1.1×	972 2.1×	844 1.8×	79 0.3×	198 0.8×	91	2.8k
Abraham G. Hartzema United States	37	216 0.4×	339 0.7×	242 0.5×	488 1.8×	331 1.3×	113	4.4k
Lemuel R. Waitman United States	27	628 1.3×	413 0.9×	420 0.9×	108 0.4×	282 1.1×	91	2.6k
Li Zhou United States	34	558 1.1×	541 1.2×	842 1.8×	290 1.1×	119 0.5×	172	3.4k

Countries citing papers authored by Jon Duke

Since Specialization

Citations

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

Fields of papers citing papers by Jon Duke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Duke

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Ruijun, Marc A. Suchard, Harlan M. Krumholz, et al.. (2021). Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study. Hypertension. 78(3). 591–603. 104 indexed citations

You, Seng Chan, Harlan M. Krumholz, Marc A. Suchard, et al.. (2021). Comprehensive Comparative Effectiveness and Safety of First-Line β-Blocker Monotherapy in Hypertensive Patients. Hypertension. 77(5). 1528–1538. 19 indexed citations

Duke, Jon, et al.. (2021). A Modified Public Health Automated Case Event Reporting Platform for Enhancing Electronic Laboratory Reports With Clinical Data: Design and Implementation Study. Journal of Medical Internet Research. 23(8). e26388–e26388. 6 indexed citations

Dixon, Brian E., et al.. (2019). Integration of FHIR to Facilitate Electronic Case Reporting: Results from a Pilot Study. Publisher. 1 indexed citations

Dixon, Brian E., et al.. (2019). Integration of FHIR to Facilitate Electronic Case Reporting: Results from a Pilot Study. Studies in health technology and informatics. 264. 940–944. 7 indexed citations

Abedtash, Hamed & Jon Duke. (2017). An Interactive User Interface for Drug Labeling to Improve Readability and Decision-Making.. PubMed. 2015. 278–86. 3 indexed citations

Choi, Edward, Siddharth Biswal, Bradley Malin, et al.. (2017). Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.. arXiv (Cornell University). 24 indexed citations

Choi, Edward, Siddharth Biswal, Bradley Malin, et al.. (2017). Generating Multi-label Discrete Patient Records using Generative Adversarial Networks. 286–305. 24 indexed citations

Starr, R., et al.. (2017). OMOP on FHIR as an Enabler for Analytics-As-A-Service.. AMIA. 1 indexed citations

10.

Chattopadhyay, Debaleena, et al.. (2017). Design and Evaluation of Trust–Eliciting Cues in Drug–Drug Interaction Alerts. Interacting with Computers. 30(2). 85–98. 3 indexed citations

11.

Duke, Jon, et al.. (2016). NATURAL LANGUAGE PROCESSING TO IMPROVE IDENTIFICATION OF PERIPHERAL ARTERIAL DISEASE IN ELECTRONIC HEALTH DATA. Journal of the American College of Cardiology. 67(13). 2280–2280. 3 indexed citations

12.

Huser, Vojtech, Frank DeFalco, Martijn J. Schuemie, et al.. (2016). Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Datasets. SHILAP Revista de lepidopterología. 4(1). 24–24. 43 indexed citations

13.

Ryan, Patrick, Martijn J. Schuemie, Emily Welebob, et al.. (2013). Defining a Reference Set to Support Methodological Research in Drug Safety. Drug Safety. 36(S1). 33–47. 96 indexed citations

14.

Duke, Jon, Burke W. Mamlin, Douglas K. Martin, et al.. (2013). Regenstrief Institute's Medical Gopher: A next-generation homegrown electronic medical record system. International Journal of Medical Informatics. 83(3). 170–179. 25 indexed citations

15.

Duke, Jon, Burke W. Mamlin, & Douglas K. Martin. (2012). Regenstrief Institute's Next-Generation Clinical Decision Support System.. AMIA. 1 indexed citations

16.

Duke, Jon, Xue Li, & Paul Dexter. (2012). Adherence to drug--drug interaction alerts in high-risk patients: a trial of context-enhanced alerting. Journal of the American Medical Informatics Association. 20(3). 494–498. 48 indexed citations

17.

Zachariah, Mathew, Shobha Phansalkar, Hanna M. Seidling, et al.. (2011). Development and preliminary evidence for the validity of an instrument assessing implementation of human-factors principles in medication-related decision-support systems--I-MeDeSA. Journal of the American Medical Informatics Association. 18(Supplement 1). i62–i72. 40 indexed citations

18.

Duke, Jon. (2011). A Quantitative Analysis of Adverse Events and “Overwarning” in Drug Labeling. Archives of Internal Medicine. 171(10). 941–941. 36 indexed citations

19.

Duke, Jon, Xiaochun Li, & Shaun J. Grannis. (2009). Data visualization speeds review of potential adverse drug events in patients on multiple medications. Journal of Biomedical Informatics. 43(2). 326–331. 29 indexed citations

20.

Bain, Max, et al.. (1989). Free text retrieval systems: a review and evaluation. 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.

Explore authors with similar magnitude of impact