Daniel E. Singer
Impact in
- Cardiology and Cardiovascular Medicine top 0.02%
- Atrial Fibrillation Management and Outcomes
- Internal Medicine top 0.5%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Atrial Fibrillation Management and Outcomes 252
-
- Venous Thromboembolism Diagnosis and Management 9
- Co-authors
- Yuchiao Chang (78 shared papers)Alan S. Go (77 shared papers)Elaine M. Hylek (44 shared papers)Lori E. Henault (9 shared papers)Joe V. Selby (6 shared papers)Jonathan L. Halperin (63 shared papers)Kenneth W. Mahaffey (103 shared papers)Jonathan Paul Piccini (104 shared papers)
- Journals
- Journal of the American College of Cardiology (30 papers)Journal of the American Heart Association (28 papers)American Heart Journal (25 papers)Circulation (23 papers)The American Journal of Medicine (22 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel E. Singer
432 papers receiving 55.6k citations
Daniel E. Singer's Hit Papers
Peers
Comparison fields: 5 of 155
- Cardiology and Cardiovascular Medicine 29.4k
- Internal Medicine 1.2k
- Family Practice 393
- Epidemiology 6.2k
- Applied Microbiology and Biotechnology 288
Countries citing papers authored by Daniel E. Singer
This map shows the geographic impact of Daniel E. Singer'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 Daniel E. Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Singer more than expected).
Fields of papers citing papers by Daniel E. Singer
This network shows the impact of papers produced by Daniel E. Singer. 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 Daniel E. Singer. The network helps show where Daniel E. Singer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Singer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 445 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rivaroxaban versus Warfarin in Nonvalvular Atrial Fibrillation Hit paper breakdown → | 2011 | 7457 |
| 2 | Prevalence of Diagnosed Atrial Fibrillation in Adults Hit paper breakdown → | 2001 | 5182 |
| 3 | A Prediction Rule to Identify Low-Risk Patients with Community-Acquired Pneumonia Hit paper breakdown → | 1997 | 3770 |
| 4 | Estimates of Current and Future Incidence and Prevalence of Atrial Fibrillation in the U.S. Adult Population Hit paper breakdown → | 2013 | 1061 |
| 5 | Effect of Intensity of Oral Anticoagulation on Stroke Severity and Mortality in Atrial Fibrillation Hit paper breakdown → | 2003 | 1009 |
| 6 | Risk Factors for Intracranial Hemorrhage in Outpatients Taking Warfarin Hit paper breakdown → | 1994 | 769 |
| 7 | Antithrombotic Therapy for Atrial Fibrillation Hit paper breakdown → | 2012 | 754 |
| 8 | A New Risk Scheme to Predict Warfarin-Associated Hemorrhage Hit paper breakdown → | 2011 | 730 |
| 9 | The Relationship Between Daily Atrial Tachyarrhythmia Burden From Implantable Device Diagnostics and Stroke Risk Hit paper breakdown → | 2009 | 715 |
| 10 | Assessing Health-Related Quality of Life in Patients With Sciatica Hit paper breakdown → | 1995 | 667 |
| 11 | An Analysis of the Lowest Effective Intensity of Prophylactic Anticoagulation for Patients with Nonrheumatic Atrial Fibrillation Hit paper breakdown → | 1996 | 630 |
| 12 | Antithrombotic Therapy in Atrial Fibrillation Hit paper breakdown → | 2008 | 614 |
| 13 | 2003 | 589 | |
| 14 | The Clinical Information Value of the Glycosylated Hemoglobin Assay Hit paper breakdown → | 1984 | 584 |
| 15 | 2002 | 583 | |
| 16 | The Net Clinical Benefit of Warfarin Anticoagulation in Atrial Fibrillation Hit paper breakdown → | 2009 | 551 |
| 17 | 2004 | 506 | |
| 18 | 1999 | 498 | |
| 19 | Prevention of stroke and systemic embolism with rivaroxaban compared with warfarin in patients with non-valvular atrial fibrillation and moderate renal impairment Hit paper breakdown → | 2011 | 489 |
| 20 | 2005 | 482 |
About Daniel E. Singer
Daniel E. Singer is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 445 papers that have together received 59.5k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (252 papers), Pneumonia and Respiratory Infections (25 papers), Smoking Behavior and Cessation (19 papers), Spine and Intervertebral Disc Pathology (10 papers), Venous Thromboembolism Diagnosis and Management (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Musculoskeletal pain and rehabilitation (6 papers) and Medication Adherence and Compliance (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (29.4k citations), Internal Medicine (1.2k citations), Family Practice (393 citations), Epidemiology (6.2k citations) and Applied Microbiology and Biotechnology (288 citations). Daniel E. Singer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Yuchiao Chang, Alan S. Go, Elaine M. Hylek, Lori E. Henault, Joe V. Selby, Jonathan L. Halperin, Kenneth W. Mahaffey, Jonathan Paul Piccini, Kathleen A. Phillips and Steven J. Atlas. Their work appears in journals such as Journal of the American College of Cardiology, Journal of the American Heart Association, American Heart Journal, Circulation and The American Journal of Medicine.
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.