Saul Blecker

97 papers receiving 3.1k citations

Saul Blecker's Hit Papers

Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format 2024 · 125 citations
1250+1Years since publication4080120

Peers

Saul Blecker
Comparison fields: 5 of 124
  • Health Informatics 81
  • Cardiology and Cardiovascular Medicine 984
  • Family Practice 62
  • Health Information Management 145
  • Emergency Medicine 126
Replace Sanket S. Dhruva with:
Sanket S. Dhruva United States
Tariq Ahmad United States
Xiaoxi Yao United States
Jay Giri United States
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George C.M. Siontis Switzerland
Romain Pirracchio France
Senthil Selvaraj United States
Herbert D. Aronow United States
Thomas M. Maddox United States
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Citations per year

Countries citing papers authored by Saul Blecker

Since Specialization
Citations

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

Fields of papers citing papers by Saul Blecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013299
2 2001207
3 2015184
4 2015139
5 2010125
6
Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format
Hit paper breakdown →
2024125
7 2011124
8 2014108
9 2013101
10 201198
11 201695
12 202188
13 201588
14 201272
15 201671
16 201669
17 201762
18 201450
19 202344
20 201543

About Saul Blecker

Saul Blecker is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice, Endocrinology, Diabetes and Metabolism, General Health Professions and Health Information Management, having authored 114 papers that have together received 3.1k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (26 papers), Medication Adherence and Compliance (13 papers), Electronic Health Records Systems (5 papers), Cardiac Imaging and Diagnostics (5 papers), Machine Learning in Healthcare (5 papers), Diabetes Treatment and Management (5 papers), Primary Care and Health Outcomes (4 papers) and Hospital Admissions and Outcomes (4 papers). The work is most often cited by research in Health Informatics (81 citations), Cardiology and Cardiovascular Medicine (984 citations), Family Practice (62 citations), Health Information Management (145 citations) and Emergency Medicine (126 citations). Saul Blecker has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Stuart D. Katz, Sripal Bangalore, Zaza Samadashvili, Edward L. Hannan, Margaret M. Paul, Gbenga Ogedegbe, Joseph A. Ladapo, Leora I. Horwitz, Jinfeng Xu and Josef Coresh. Their work appears in journals such as Journal of the American College of Cardiology, Journal of General Internal Medicine, American Heart Journal, Journal of Cardiac Failure and Applied Clinical Informatics.

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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