Paul A Testa

33 papers receiving 1.7k citations

Paul A Testa's Hit Papers

Enhancing the Readability of Online Patient Education Materials Using Large Language Models: Cross-Sectional Study 2025 · 32 citations
320+2+4Years since publication2505007501000

Peers

Paul A Testa
Comparison fields: 5 of 113
  • Health Informatics 65
  • Public Health, Environmental and Occupational Health 705
  • Health Information Management 85
  • General Health Professions 371
  • Oncology 231
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Countries citing papers authored by Paul A Testa

Since Specialization
Citations

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

Fields of papers citing papers by Paul A Testa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paul A Testa, 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 A Testa Line = papers co-authored together Paul A Testa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID-19 transforms health care through telemedicine: Evidence from the field
Hit paper breakdown →
20201048
2
Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19
Hit paper breakdown →
2020256
3 201953
4 202051
5 201635
6
Enhancing the Readability of Online Patient Education Materials Using Large Language Models: Cross-Sectional Study
Hit paper breakdown →
202532
7 202129
8 202025
9 202023
10 202317
11 202017
12 202216
13 201915
14 202012
15 202511
16 202410
17 202410
18
[Factors related to the uptake of breast cancer screening (mammography and breast ultrasound): a retrospective survey on a sample of resident women, 50-70 years aged, from Abruzzo region].
20049
19 20239
20 20208

About Paul A Testa

Paul A Testa is a scholar working on Health Information Management, General Health Professions, Public Health, Environmental and Occupational Health, Health and General Dentistry, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (7 papers), Electronic Health Records Systems (7 papers), Mobile Health and mHealth Applications (3 papers), Social Media in Health Education (3 papers), Head and Neck Cancer Studies (2 papers), Food Security and Health in Diverse Populations (2 papers), Healthcare Policy and Management (2 papers) and Medical Malpractice and Liability Issues (2 papers). The work is most often cited by research in Health Informatics (65 citations), Public Health, Environmental and Occupational Health (705 citations), Health Information Management (85 citations), General Health Professions (371 citations) and Oncology (231 citations). Paul A Testa has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include David Mann, Oded Nov, Rumi Chunara, Ji Chen, Katharine Lawrence, Yuan Zhao, Kanan J. Shah, Leora Idit Horwitz, Ada L. Rubin and Saul Blecker. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, Journal of General Internal Medicine, JAMA Network Open and Journal of Emergency Medicine.

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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