Paul Epner

779 citations
23 papers · 529 · h-index 10

Impact in

Papers in

Paul Epner

23 papers receiving 505 citations

Peers

Paul Epner
Comparison fields: 5 of 93
  • Family Practice 87
  • Statistics, Probability and Uncertainty 162
  • Physiology 259
  • Health Information Management 42
  • Biochemistry 42
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Citations per field
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Citations per year

Countries citing papers authored by Paul Epner

Since Specialization
Citations

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

Fields of papers citing papers by Paul Epner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paul Epner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Epner Line = papers co-authored together Paul Epner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014111
2 201389
3 201270
4 201556
5 201950
6 201149
7 201224
8 201914
9 201813
10 201711
11 20177
12 20187
13 20185
14
Practice levels and educational needs for clinical laboratory personnel.
20084
15
Laboratory medicine best practices : developing systematic evidence review and evaluation : methods for quality improvement phase 3 final technical report
20104
16
Identifying Diagnostic Paths for Undifferentiated Abdominal Pain from Electronic Health Record Data.
20184
17 20183
18 20142
19 20142
20 20231

About Paul Epner

Paul Epner is a scholar working on Physiology, Statistics, Probability and Uncertainty, Family Practice, General Health Professions and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 529 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (13 papers), Meta-analysis and systematic reviews (11 papers), Clinical Reasoning and Diagnostic Skills (9 papers), Healthcare cost, quality, practices (5 papers), Patient Safety and Medication Errors (3 papers), Electronic Health Records Systems (3 papers), Health Sciences Research and Education (2 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Family Practice (87 citations), Statistics, Probability and Uncertainty (162 citations), Physiology (259 citations), Health Information Management (42 citations) and Biochemistry (42 citations). Paul Epner has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Mark L. Graber, Colleen Shaw, Susan Snyder, Diana Mass, Ed Liebow, James H. Derzon, Brendan R. Jackson, C. Duke, James H. Nichols and J. Richard Taylor. Their work appears in journals such as Clinical Biochemistry, Clinical Chemistry, Diagnosis, Applied Clinical Informatics and BMJ Quality & Safety.

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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