Saul Blecker

120 papers receiving 3.7k citations

Saul Blecker's Hit Papers

Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format 2024 · 169 citations
1690+1Years since publication50100150

Peers

Saul Blecker
Comparison fields: 5 of 90
  • Health Informatics 151
  • Health Information Management 218
  • Cardiology and Cardiovascular Medicine 813
  • Family Practice 54
  • Emergency Medicine 106
Replace Robert L. McNamara with:
Robert L. McNamara United States
Sanket Shishir Dhruva United States
Alexander Turchin United States
Tadahiro Goto Japan
Geert‐Jan Geersing Netherlands
Herbert D. Aronow United States
Ying Xian United States
María Rubini Giménez Switzerland
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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 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013326
2 2015221
3 2001216
4
Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format
Hit paper breakdown →
2024169
5 2015160
6 2010154
7 2011137
8 2014130
9 2021127
10 2011122
11 2016122
12 2020114
13 2013107
14 2015106
15 201679
16 201679
17 201275
18 201766
19 202356
20 201454

About Saul Blecker

Saul Blecker is a scholar working on Health Information Management, Family Practice, Cardiology and Cardiovascular Medicine, Emergency Medicine and Neurology, having authored 134 papers that have together received 3.8k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (18 papers), Electronic Health Records Systems (16 papers), Medication Adherence and Compliance (10 papers), Long-Term Effects of COVID-19 (6 papers), Hospital Admissions and Outcomes (5 papers), Coronary Interventions and Diagnostics (5 papers), Diabetes Treatment and Management (4 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Health Informatics (151 citations), Health Information Management (218 citations), Cardiology and Cardiovascular Medicine (813 citations), Family Practice (54 citations) and Emergency Medicine (106 citations). Saul Blecker has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Stuart D. Katz, Sripal Bangalore, Edward L. Hannan, Zaza Samadashvili, Leora Idit Horwitz, Margaret M. Paul, Jinfeng Xu, Joseph A. Ladapo, Gbenga G Ogedegbe and Glen B. Taksler. Their work appears in journals such as Journal of the American College of Cardiology, Journal of General Internal Medicine, Journal of the American Heart Association, JAMA Network Open and American Heart Journal.

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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