Paul Testa

30 papers receiving 1.5k citations

Paul Testa's Hit Papers

Enhancing the Readability of Online Patient Education Materials Using Large Language Models: Cross-Sectional Study 2025 · 22 citations
220+2+4Years since publication250500750

Peers

Paul Testa
Comparison fields: 5 of 109
  • Health Informatics 47
  • Public Health, Environmental and Occupational Health 657
  • General Health Professions 336
  • Health Information Management 57
  • Oncology 212
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Countries citing papers authored by Paul Testa

Since Specialization
Citations

This map shows the geographic impact of Paul 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 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 Testa more than expected).

Fields of papers citing papers by Paul Testa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 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 →
2020976
2
Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19
Hit paper breakdown →
2020232
3 202045
4 201633
5 202129
6 202025
7 202023
8
Enhancing the Readability of Online Patient Education Materials Using Large Language Models: Cross-Sectional Study
Hit paper breakdown →
202522
9 202016
10 202214
11 201914
12 202013
13 202313
14
[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
15 20248
16 20238
17 20207
18 20097
19 20246
20 20196

About Paul Testa

Paul Testa is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Health Information Management, Health and Otorhinolaryngology, having authored 34 papers that have together received 1.5k 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), Dental Research and COVID-19 (2 papers), Head and Neck Cancer Studies (2 papers), Food Security and Health in Diverse Populations (2 papers) and Healthcare Systems and Technology (2 papers). The work is most often cited by research in Health Informatics (47 citations), Public Health, Environmental and Occupational Health (657 citations), General Health Professions (336 citations), Health Information Management (57 citations) and Oncology (212 citations). Paul Testa has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include David Mann, Oded Nov, Rumi Chunara, Ji Chen, Katharine Lawrence, Yuan Zhao, Saul Blecker, Ada Rubin, Andrea B. Troxel and Donna Shelley. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, Nature Communications, Journal of Emergency Medicine and Journal of General Internal 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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