Steven R. Steinhubl

16.7k citations
172 papers · 8.0k indexed · 2 hit papers · h-index 43

Steven R. Steinhubl

165 papers receiving 7.7k citations

Hit Papers

Effect of a Home-Based Wearable Continuous ECG Monitoring...3282015202620182022100200300400500

Peers

Steven R. Steinhubl
Comparison fields: 5 of 188
  • Internal Medicine 845
  • Health Informatics 239
  • Cardiology and Cardiovascular Medicine 3.2k
  • Applied Psychology 514
  • Health Information Management 401
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Citations per field
00.5×3.6×
Pablo Perel · 1×
Citations per year

Countries citing papers authored by Steven R. Steinhubl

Since Specialization
Citations

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

Fields of papers citing papers by Steven R. Steinhubl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven R. Steinhubl. 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 Steven R. Steinhubl. The network helps show where Steven R. Steinhubl may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20247
3 20234
4 202117
5 2020199
6 20197
7 201819
8
Effect of a Home-Based Wearable Continuous ECG Monitoring Patch on Detection of Undiagnosed Atrial Fibrillationbreakdown →
2018328
9
Abstract 13757: A Nationwide Trial of Screening for Undiagnosed Atrial Fibrillation in an At-Risk Population Using a Self-Applied ECG Recording Patch Sensor: Results of the Randomized Component of the mHealth Screening to Prevent Strokes (mSToPS) Trial
20171
10
Abstract 18610: Preliminary Evaluation of a Wrist Wearable Heart Rate Sensor for the Detection of Undiagnosed Atrial Fibrillation in a Real-World Setting
20171
11 2016147
12 201627
13 201529
14 201543
15 201465
16 201377
17
Abstract 12181: Pulmonary Embolism Outcomes After Discharge From the Emergency Department: The CVRN VTE Study
20132
18
Abstract 12035: Text and Data Mining of Longitudinal Electronic Health Records (EHRs) in a Primary Care Population Can Identify Heart Failure (HF) Patients Months to Years Prior to Formal Diagnosis Using the Framingham Criteria
20113
19 20102
20
Lack of correlation between ACT levels and outcomes in patients undergoing elective percutaneous coronary intervention with unfractionated heparin: the STEEPLE trial
20061

About Steven R. Steinhubl

Steven R. Steinhubl is a scholar working on Health Informatics, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 172 papers that have together received 8.0k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (30 papers), Mobile Health and mHealth Applications (25 papers), Antiplatelet Therapy and Cardiovascular Diseases (22 papers), Venous Thromboembolism Diagnosis and Management (19 papers), Atrial Fibrillation Management and Outcomes (17 papers), Digital Mental Health Interventions (13 papers), Machine Learning in Healthcare (13 papers) and Coronary Interventions and Diagnostics (12 papers). The work is most often cited by research in Internal Medicine (845 citations), Health Informatics (239 citations) and Cardiology and Cardiovascular Medicine (3.2k citations). Steven R. Steinhubl has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Eric J. Topol, Evan D. Muse, A. Michael Lincoff, Giorgio Quer, Jennifer M. Radin, Nathan E. Wineinger, Katie Baca-Motes, Walter F. Stewart, Lauren Ariniello and Ali Torkamani. Their work appears in journals such as New England Journal of Medicine, Cell and The Lancet.

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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