Jonathan Seltzer

1.1k citations
30 papers · 546 indexed · h-index 13

Impact in

Papers in

Jonathan Seltzer

29 papers receiving 519 citations

Peers

Jonathan Seltzer
Comparison fields: 5 of 77
  • Internal Medicine 80
  • Cardiology and Cardiovascular Medicine 346
  • Health Informatics 5
  • Statistics and Probability 29
  • Endocrinology, Diabetes and Metabolism 54
Replace Ana Denise Zazula with:
Ana Denise Zazula Brazil
Kevin Bowrin Germany
Anil Duggal United States
Kathryn Carruthers United Kingdom
Mikhail Ruda United States
Zorana Vasiljević Serbia
Marshall Nash United States
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Xing‐hui Shao China
Jonathan Seltzer relative to Ana Denise Zazula Brazil Ana Denise Zazula's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Seltzer

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Seltzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20213
2 20213
3 20218
4 20206
5 201917
6 201912
7 201844
8 20181
9 201713
10 201729
11 201629
12 201617
13 201559
14 201516
15 20153
16 201419
17
Abstract 14780: How Representative of the General Population Are the Cohorts Included in the Clinical Trials That Drive Our Guidelines?
20130
18 200721
19 2007138
20 199912

About Jonathan Seltzer

Jonathan Seltzer is a scholar working on Toxicology, Statistics and Probability, Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 30 papers that have together received 546 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (7 papers), Cardiac Arrhythmias and Treatments (6 papers), Atrial Fibrillation Management and Outcomes (6 papers), Cardiac electrophysiology and arrhythmias (4 papers), Pharmaceutical Economics and Policy (4 papers), Meta-analysis and systematic reviews (3 papers) and Heart Failure Treatment and Management (3 papers). The work is most often cited by research in Internal Medicine (80 citations), Cardiology and Cardiovascular Medicine (346 citations), Health Informatics (5 citations), Statistics and Probability (29 citations) and Endocrinology, Diabetes and Metabolism (54 citations). Jonathan Seltzer has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter R. Kowey, J. S. WALIA, Robert Sangrigoli, Steven A. Rothman, Samer Y. Siouffi, Philip T. Sager, Norman Stockbridge, Paul Reilly, Rebecca Li and Honorio Silva. Their work appears in journals such as American Heart Journal, Therapeutic Innovation & Regulatory Science, Journal of the American College of Cardiology, Journal of Cardiovascular Electrophysiology and Journal of Clinical Oncology.

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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