Daniel E. Singer

72.3k citations
439 papers · 52.6k indexed · 23 hit papers · h-index 108

Daniel E. Singer

422 papers receiving 50.5k citations

Hit Papers

Cardio...17119842026199820122.0k4.0k6.0k

Peers

Daniel E. Singer
Comparison fields: 5 of 197
  • Internal Medicine 12.0k
  • Cardiology and Cardiovascular Medicine 33.3k
  • Epidemiology 12.6k
  • Family Practice 740
  • Emergency Medicine 2.9k
Replace Alan S. Go with:
Alan S. Go United States
Eric D. Peterson United States
Elliott M. Antman United States
Christian Torp‐Pedersen Denmark
Gregory Y.H. Lip United Kingdom
Eugene Braunwald United States
Andrew S. Levey United States
Yuchiao Chang United States
Adrian F. Hernandez United States
Gregg C. Fonarow United States
Daniel E. Singer relative to Alan S. Go United States Alan S. Go's profile →
Citations per field
00.5×1.5×2.5×
Alan S. Go · 1×
Citations per year

Countries citing papers authored by Daniel E. Singer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Daniel E. Singer Line = papers co-authored together Daniel E. Singer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202417
4 20243
5 20246
6 20241
7 20234
8 202313
9 202263
10 20223
11 20228
12 201920
13 2015143
14 201383
15 2012375
16 20126
17 2009234
18 2009319
19
In Defence of Utopia
19933
20 19932

About Daniel E. Singer

Daniel E. Singer is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Family Practice, having authored 439 papers that have together received 52.6k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (252 papers), Cardiac Arrhythmias and Treatments (112 papers), Venous Thromboembolism Diagnosis and Management (92 papers), Acute Ischemic Stroke Management (66 papers), Cardiac electrophysiology and arrhythmias (45 papers), Antiplatelet Therapy and Cardiovascular Diseases (41 papers), Health Systems, Economic Evaluations, Quality of Life (32 papers) and Pneumonia and Respiratory Infections (23 papers). The work is most often cited by research in Internal Medicine (12.0k citations), Cardiology and Cardiovascular Medicine (33.3k citations) and Epidemiology (12.6k citations). Daniel E. Singer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Yuchiao Chang, Alan S. Go, Elaine M. Hylek, Lori Henault, Joe V. Selby, Jonathan L. Halperin, Kathleen A. Phillips, Kenneth W. Mahaffey, Jonathan P. Piccini and Steven J. Atlas. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, Journal of the American Heart Association, American Heart Journal 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.

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