Saul Blecker

4.8k total citations · 1 hit paper
109 papers, 3.0k citations indexed

About

Saul Blecker is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Family Practice. According to data from OpenAlex, Saul Blecker has authored 109 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cardiology and Cardiovascular Medicine, 23 papers in General Health Professions and 20 papers in Family Practice. Recurrent topics in Saul Blecker's work include Heart Failure Treatment and Management (33 papers), Medication Adherence and Compliance (20 papers) and Chronic Disease Management Strategies (17 papers). Saul Blecker is often cited by papers focused on Heart Failure Treatment and Management (33 papers), Medication Adherence and Compliance (20 papers) and Chronic Disease Management Strategies (17 papers). Saul Blecker collaborates with scholars based in United States, Sweden and Canada. Saul Blecker's co-authors include Stuart D. Katz, Sripal Bangalore, Edward L. Hannan, Zaza Samadashvili, Margaret M. Paul, Gbenga Ogedegbe, Glen B. Taksler, Joseph A. Ladapo, Jinfeng Xu and Leora I. Horwitz and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Biological Chemistry.

In The Last Decade

Saul Blecker

95 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format

2024 100 citations Jonah Zaretsky, Jeong‐Min Kim et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Saul Blecker United States	29	1.4k	627	431	366	324	109	3.0k
Karen Chiswell United States	31	2.1k 1.5×	716 1.1×	381 0.9×	145 0.4×	548 1.7×	183	3.8k
Nisha I. Parikh United States	32	1.8k 1.2×	541 0.9×	260 0.6×	158 0.4×	253 0.8×	102	4.1k
Dena E. Rifkin United States	37	1.2k 0.8×	578 0.9×	530 1.2×	266 0.7×	672 2.1×	122	4.4k
Mette Madsen Denmark	31	1.6k 1.1×	499 0.8×	226 0.5×	254 0.7×	191 0.6×	73	3.9k
Andrew Kerr New Zealand	31	2.2k 1.5×	644 1.0×	618 1.4×	383 1.0×	314 1.0×	250	3.4k
María Grau Spain	37	1.8k 1.3×	978 1.6×	257 0.6×	427 1.2×	408 1.3×	141	4.3k
Khalid F. AlHabib Saudi Arabia	24	2.1k 1.5×	455 0.7×	194 0.5×	195 0.5×	181 0.6×	117	3.0k
Elizabeth Ofili United States	32	2.2k 1.5×	899 1.4×	855 2.0×	562 1.5×	339 1.0×	126	4.0k
Johanna AAG Damen Netherlands	25	577 0.4×	432 0.7×	358 0.8×	194 0.5×	261 0.8×	66	2.8k
Emily C. O’Brien United States	36	2.1k 1.5×	412 0.7×	175 0.4×	512 1.4×	356 1.1×	165	4.0k

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-authorship network of co-authors of Saul Blecker

This figure shows the co-authorship network connecting the top 25 collaborators of Saul Blecker. A scholar is included among the top collaborators of Saul Blecker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saul Blecker. Saul Blecker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Donglan, Saul Blecker, Morgan E. Grams, et al.. (2025). Association of Patient Cost Sharing With Adherence to GLP-1RA and Adverse Health Outcomes. Diabetes Care. 48(8). 1329–1336. 3 indexed citations

Hamo, Carine, et al.. (2025). Association Between Cardiometabolic Comorbidity Burden and Outcomes in Heart Failure. Journal of the American Heart Association. 14(3). e036985–e036985.

Zaretsky, Jonah, Jeong‐Min Kim, Jonathan Austrian, et al.. (2024). Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format. JAMA Network Open. 7(3). e240357–e240357. 100 indexed citations breakdown →

Adhikari, Samrachana, Saul Blecker, Nichola Davis, et al.. (2024). Decline in use of high‐risk agents for tight glucose control among older adults with diabetes in New York City: 2017–2022. Journal of the American Geriatrics Society. 72(9). 2721–2729.

Zheng, Yaguang, Samrachana Adhikari, Xiyue Li, et al.. (2024). Association Between Video-Based Telemedicine Visits and Medication Adherence Among Patients With Heart Failure: Retrospective Cross-Sectional Study. JMIR Cardio. 8. e56763–e56763.

Surapaneni, Aditya, Yunwen Xu, Leora I. Horwitz, et al.. (2024). Glucagon-Like Peptide-1 Receptor Agonist and Sodium-Glucose Cotransporter 2 Inhibitor Prescriptions in Type 2 Diabetes by Kidney and Cardiovascular Disease. Journal of the American Society of Nephrology. 36(2). 290–292.

Adeyemi, Oluwaseun, Charles DiMaggio, Corita R. Grudzen, et al.. (2024). Spatial Cluster Analysis of the Social Determinants of Health and Fatal Crashes Involving US Geriatric and Non-Geriatric Road Users. SHILAP Revista de lepidopterología. 4(4). 266–281.

Blecker, Saul, Xiyue Li, Ian M. Kronish, et al.. (2023). Neighborhood-Level Socioeconomic Status and Prescription Fill Patterns Among Patients With Heart Failure. JAMA Network Open. 6(12). e2347519–e2347519. 18 indexed citations

Reynolds, Harmony R., Lawrence M. Phillips, Arielle R. Nagler, et al.. (2023). Impact of Visit Volume on the Effectiveness of Electronic Tools to Improve Heart Failure Care. JACC Heart Failure. 12(4). 665–674. 1 indexed citations

10.

Blecker, Saul, et al.. (2023). Leveraging Electronic Health Record Technology and Team Care to Address Medication Adherence: Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols. 12. e47930–e47930. 4 indexed citations

11.

Reynolds, Harmony R., Yuhe Xia, Lawrence M. Phillips, et al.. (2023). Design and pilot implementation for the BETTER CARE-HF trial: A pragmatic cluster-randomized controlled trial comparing two targeted approaches to ambulatory clinical decision support for cardiologists. American Heart Journal. 258. 38–48. 6 indexed citations

12.

Samal, Lipika, Skye Aaron, Allison B. McCoy, et al.. (2023). Refining Clinical Phenotypes to Improve Clinical Decision Support and Reduce Alert Fatigue: A Feasibility Study. Applied Clinical Informatics. 14(3). 528–537. 3 indexed citations

13.

Adhikari, Samrachana, Xiyue Li, John A. Dodson, et al.. (2022). Association Between Copayment Amount and Filling of Medications for Angiotensin Receptor Neprilysin Inhibitors in Patients With Heart Failure. Journal of the American Heart Association. 11(24). e027662–e027662. 8 indexed citations

14.

Dong, Siyuan, Yukun Lu, Rebecca A. Betensky, et al.. (2022). Sex and Race Differences in the Evaluation and Treatment of Young Adults Presenting to the Emergency Department With Chest Pain. Journal of the American Heart Association. 11(10). e024199–e024199. 35 indexed citations

15.

Belli, Hayley M., et al.. (2021). A Behavioral Economics–Electronic Health Record Module to Promote Appropriate Diabetes Management in Older Adults: Protocol for a Pragmatic Cluster Randomized Controlled Trial. JMIR Research Protocols. 10(10). e28723–e28723. 1 indexed citations

16.

Weerahandi, Himali, Leora I. Horwitz, & Saul Blecker. (2020). Diabetes Phenotyping Using the Electronic Health Record. Journal of General Internal Medicine. 35(12). 3716–3718. 4 indexed citations

17.

Durstenfeld, Matthew S., Stuart D. Katz, Hannah Park, & Saul Blecker. (2019). Mineralocorticoid receptor antagonist use after hospitalization of patients with heart failure and post-discharge outcomes: a single-center retrospective cohort study. BMC Cardiovascular Disorders. 19(1). 194–194. 8 indexed citations

18.

Chokshi, Sara, Andrea B. Troxel, Hayley M. Belli, et al.. (2019). User-Centered Development of a Behavioral Economics Inspired Electronic Health Record Clinical Decision Support Module. Studies in health technology and informatics. 264. 1155–1158. 6 indexed citations

19.

Ladapo, Joseph A., Saul Blecker, Michael Elashoff, et al.. (2013). Clinical Implications of Referral Bias in the Diagnostic Performance of Exercise Testing for Coronary Artery Disease. Journal of the American Heart Association. 2(6). e000505–e000505. 25 indexed citations

20.

Blecker, Saul, Yiyi Zhang, Daniel E. Ford, et al.. (2010). Quality of care for heart failure among disabled Medicaid recipients with and without severe mental illness. General Hospital Psychiatry. 32(3). 255–261. 12 indexed citations

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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