Kensaku Kawamoto

7.0k total citations · 1 hit paper
165 papers, 4.4k citations indexed

About

Kensaku Kawamoto is a scholar working on Health Information Management, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kensaku Kawamoto has authored 165 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Health Information Management, 44 papers in General Health Professions and 38 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kensaku Kawamoto's work include Electronic Health Records Systems (65 papers), Biomedical Text Mining and Ontologies (33 papers) and Healthcare Systems and Technology (19 papers). Kensaku Kawamoto is often cited by papers focused on Electronic Health Records Systems (65 papers), Biomedical Text Mining and Ontologies (33 papers) and Healthcare Systems and Technology (19 papers). Kensaku Kawamoto collaborates with scholars based in United States, Japan and United Kingdom. Kensaku Kawamoto's co-authors include David F. Lobach, E. Andrew Balas, Guilherme Del Fiol, Brandon M. Welch, Polina Kukhareva, Rachel Hess, Charlene Weir, Devin Horton, Geoffrey S. Ginsburg and Thomas S. Reese and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Kensaku Kawamoto

156 papers receiving 4.2k citations

Hit Papers

Improving clinical practice using clinical decision suppo... 2005 2026 2012 2019 2005 500 1000 1.5k
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.

  1. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success
    2005 1.9k citations Kensaku Kawamoto, David F. Lobach et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kensaku Kawamoto United States 27 1.8k 971 792 643 485 165 4.4k
David F. Lobach United States 29 2.1k 1.2× 1.2k 1.2× 1.1k 1.3× 803 1.2× 468 1.0× 97 5.5k
Kevin B. Johnson United States 34 1.5k 0.9× 1.3k 1.3× 768 1.0× 730 1.1× 652 1.3× 125 4.8k
Heather McDonald Canada 13 1.3k 0.7× 904 0.9× 522 0.7× 330 0.5× 239 0.5× 37 3.5k
Don E. Detmer United States 31 1.5k 0.8× 1.0k 1.1× 874 1.1× 444 0.7× 339 0.7× 111 4.3k
Justina Sam Canada 9 1.3k 0.7× 606 0.6× 434 0.5× 334 0.5× 236 0.5× 13 2.9k
M. Patricia Rosas‐Arellano Canada 18 1.3k 0.7× 566 0.6× 919 1.2× 455 0.7× 236 0.5× 31 3.9k
Paul Dexter United States 27 843 0.5× 686 0.7× 658 0.8× 392 0.6× 228 0.5× 93 3.0k
Jonathan M. Teich United States 28 3.2k 1.8× 771 0.8× 724 0.9× 626 1.0× 305 0.6× 67 5.4k
Lynn A. Volk United States 35 2.6k 1.4× 1.5k 1.5× 766 1.0× 449 0.7× 215 0.4× 91 4.4k
Harold P. Lehmann United States 30 759 0.4× 645 0.7× 611 0.8× 567 0.9× 572 1.2× 214 5.2k

Countries citing papers authored by Kensaku Kawamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kensaku Kawamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kensaku Kawamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kensaku Kawamoto. A scholar is included among the top collaborators of Kensaku Kawamoto 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 Kensaku Kawamoto. Kensaku Kawamoto 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.
Goodman, Melody S., Guilherme Del Fiol, Rachel Hess, et al.. (2025). Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility. BMC Cancer. 25(1). 180–180. 1 indexed citations
2.
Kawamoto, Kensaku, Thomas S. Reese, Katy E. Trinkley, et al.. (2025). Risk of gastrointestinal bleeding by specific SSRIs and SNRIs: A systematic review and meta‐analysis. British Journal of Clinical Pharmacology. 92(3). 793–808.
3.
Goodman, Melody S., Daniel Chavez‐Yenter, Richard L. Bradshaw, et al.. (2025). Bridging Technology and Pretest Genetic Services: Quantitative Study of Chatbot Interaction Patterns, User Characteristics, and Genetic Testing Decisions. Journal of Medical Internet Research. 27. e73391–e73391.
4.
Tiase, Victoria L., Teresa Taft, Kimberly A. Kaphingst, et al.. (2024). Patient Perspectives on a Patient‐Facing Tool for Lung Cancer Screening. Health Expectations. 27(4). e14143–e14143. 1 indexed citations
5.
6.
Bradshaw, Richard L., Kensaku Kawamoto, Melody S. Goodman, et al.. (2023). Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own. Journal of Biomedical Informatics. 149. 104568–104568. 3 indexed citations
7.
8.
O’Meara, John G., Marianna Bruno, Joseph Biskupiak, et al.. (2022). Applying Diagnosis Support Systems in Electronic Health Records to Identify wild-type Transthyretin Amyloid Cardiomyopathy Risk. Future Cardiology. 18(5). 367–376. 4 indexed citations
9.
10.
Stagg, Brian C., Eduardo B. Mariottoni, Samuel I. Berchuck, et al.. (2020). The association between race and longitudinal visual field variability. Investigative Ophthalmology & Visual Science. 61(7). 4045–4045. 2 indexed citations
11.
Reese, Thomas S., Guilherme Del Fiol, Joseph E. Tonna, et al.. (2020). Impact of integrated graphical display on expert and novice diagnostic performance in critical care. Journal of the American Medical Informatics Association. 27(8). 1287–1292. 7 indexed citations
12.
Stagg, Brian C., Joshua D. Stein, Felipe A. Medeiros, et al.. (2020). Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic. Ophthalmology Glaucoma. 4(1). 5–9. 18 indexed citations
13.
Beitelshees, Amber L., James J. Cimino, Guilherme Del Fiol, et al.. (2016). User-centered design of multi-gene sequencing panel reports for clinicians. Journal of Biomedical Informatics. 63. 1–10. 15 indexed citations
14.
Kawamoto, Kensaku, Kevin J. Anstrom, John B. Anderson, et al.. (2016). Long-Term Impact of an Electronic Health Record-Enabled, Team-Based, and Scalable Population Health Strategy Based on the Chronic Care Model.. PubMed. 2016. 686–695. 6 indexed citations
15.
Kukhareva, Polina, et al.. (2015). Errors with Manual Phenotype Validation: Case Study and Implications.. AMIA. 1 indexed citations
16.
Staes, Catherine J., et al.. (2012). Enabling Intuitive Knowledge Authoring Using Continuity of Care Documents: the OpenCDS CCD-vMR Project.. AMIA. 1 indexed citations
17.
Middleton, Blackford, et al.. (2012). From Guidelines to Clinical Decision Support: a Unified Approach to Translating and Implementing Knowledge.. AMIA. 1 indexed citations
18.
Patwardhan, Meenal, Kensaku Kawamoto, David F. Lobach, Uptal D. Patel, & David B. Matchar. (2009). Recommendations for a Clinical Decision Support for the Management of Individuals with Chronic Kidney Disease. Clinical Journal of the American Society of Nephrology. 4(2). 273–283. 19 indexed citations
19.
Lobach, David F., et al.. (2007). Proactive population health management in the context of a regional health information exchange using standards-based decision support.. PubMed. 473–7. 18 indexed citations
20.
Eisenstein, Eric L., et al.. (2005). Developing a framework for conducting economic evaluations of community-based health information technology interventions.. PubMed. 948–948. 1 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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