Jonah Zaretsky

8 papers receiving 233 citations

Jonah Zaretsky's Hit Papers

Enhancing the Readability of Online Patient Education Materials Using Large Language Models: Cross-Sectional Study 2025 · 22 citations
220+1Years since publication4080120

Peers

Jonah Zaretsky
Comparison fields: 5 of 48
  • Health Informatics 59
  • Hepatology 32
  • Transplantation 4
  • Health Information Management 6
  • Family Practice 2
Replace Chika F. Ezeana with:
Chika F. Ezeana United States
David Toro-Tobón United States
Y Zhang China
Ijeoma A. Azodo United Kingdom
M Mangano United States
‬Seyed Jafar Ehsanzadeh Iran
Erik Drysdale Canada
Karim Ramji Canada
Scarlet Nazarian United Kingdom
Austin Pereira Canada
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Citations per year

Countries citing papers authored by Jonah Zaretsky

Since Specialization
Citations

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

Fields of papers citing papers by Jonah Zaretsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format
Hit paper breakdown →
2024126
2 201263
3
Enhancing the Readability of Online Patient Education Materials Using Large Language Models: Cross-Sectional Study
Hit paper breakdown →
202522
4 201112
5 20228
6 20214
7 20231
8 20111

About Jonah Zaretsky

Jonah Zaretsky is a scholar working on Surgery, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, General Health Professions and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 237 indexed citations. Recurring topics across this work include Hip and Femur Fractures (2 papers), Cancer-related molecular mechanisms research (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Health Literacy and Information Accessibility (1 paper), Respiratory Support and Mechanisms (1 paper), Liver Disease and Transplantation (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (59 citations), Hepatology (32 citations), Transplantation (4 citations), Health Information Management (6 citations) and Family Practice (2 citations). Jonah Zaretsky has collaborated with scholars based in United States. Frequent co-authors include R. Gupta, Jeong‐Min Kim, Saul Blecker, Jonathan Austrian, Yindalon Aphinyanaphongs, Emerson A. Lim, Jean C. Emond, Abby B. Siegel, Shuang Wang and Abhishek Goyal. Their work appears in journals such as JAMA Network Open, Geriatric Orthopaedic Surgery & Rehabilitation, The Joint Commission Journal on Quality and Patient Safety, Journal of Medical Internet Research and Annals of Surgery.

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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