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.
The Value Of Health Care Information Exchange And Interoperability
2005564 citationsJan Walker, Eric Pan et al.Health Affairsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Eric Pan'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 Eric Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Pan more than expected).
This network shows the impact of papers produced by Eric Pan. 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 Eric Pan. The network helps show where Eric Pan may publish in the future.
Co-authorship network of co-authors of Eric Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Pan.
A scholar is included among the top collaborators of Eric Pan 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 Eric Pan. Eric Pan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pan, Eric, et al.. (2016). Improved Veteran Access to Care through the Veteran Health Information Exchange (VHIE) Retail Immunization Coordination Project.. PubMed. 2016. 326–331.3 indexed citations
6.
Pan, Eric, et al.. (2016). Assessments of the Veteran Medication Allergy Knowledge Gap and Potential Safety Improvements with the Veteran Health Information Exchange (VHIE).. PubMed. 2016. 1004–1009.3 indexed citations
Bouhaddou, Omar, et al.. (2015). Veterans Health Administration Experience with Data Quality Surveillance of Continuity of Care Documents: Interoperability Challenges for eHealth Exchange Participants.. PubMed. 2015. 870–9.6 indexed citations
Bouhaddou, Omar, et al.. (2014). Data Quality and Interoperability Challenges for eHealth Exchange Participants: Observations from the Department of Veterans Affairs' Virtual Lifetime Electronic Record Health Pilot Phase.. PubMed. 2014. 307–14.10 indexed citations
Byrne, Colene, Omar Bouhaddou, Eric Pan, et al.. (2013). Performance evaluation framework for the Virtual Lifetime Electronic Record (VLER) health information exchange pilot program. American Medical Informatics Association Annual Symposium.2 indexed citations
Byrne, Colene, Robert S. Rudin, Douglas Johnston, & Eric Pan. (2010). Assessing the value of laboratory electronic data interchange in the department of veterans affairs.. PubMed. 2010. 76–80.1 indexed citations
16.
Kaelber, David C., et al.. (2008). A patient-centric taxonomy for personal health records (PHRs).. PubMed. 763–7.14 indexed citations
17.
Kaelber, David C. & Eric Pan. (2008). The value of personal health record (PHR) systems.. PubMed. 343–7.69 indexed citations
18.
Pan, Eric, et al.. (2007). Cost of interconnecting health information exchanges to form a national network.. PubMed. 583–7.3 indexed citations
19.
Walker, Jan, Eric Pan, Douglas Johnston, et al.. (2005). The Value Of Health Care Information Exchange And Interoperability. Health Affairs. 24(Suppl1). W5–10.564 indexed citations breakdown →
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.