David Dai

10.8k citations
129 papers · 7.0k indexed · 3 hit papers · h-index 41

David Dai

123 papers receiving 6.8k citations

Hit Papers

Procedural Volume and Outcomes for Tr...21320102026201520202505007501000

Peers

David Dai
Comparison fields: 5 of 143
  • Cardiology and Cardiovascular Medicine 4.2k
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Internal Medicine 341
  • Surgery 2.6k
  • Epidemiology 1.3k
Replace E. Magnus Ohman with:
E. Magnus Ohman United States
Kevin F. Kennedy United States
Harindra C. Wijeysundera Canada
Dharam J. Kumbhani United States
Hitinder S. Gurm United States
Mohamad Alkhouli United States
Grzegorz Opolski Poland
Christopher R. deFilippi United States
Nick Curzen United Kingdom
Islam Y. Elgendy United States
David Dai relative to E. Magnus Ohman United States E. Magnus Ohman's profile →
Citations per field
00.5×1.5×2.3×
E. Magnus Ohman · 1×
Citations per year

Countries citing papers authored by David Dai

Since Specialization
Citations

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

Fields of papers citing papers by David Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20230
3 20214
4 202125
5 202091
6
Preparing a Clinical Support Model for Silent Mode in General Internal Medicine
20205
7 2018123
8 201629
9 201425
10 201421
11 201263
12 201217
13 2012103
14 201123
15 201123
16 201137
17 20110
18 2010320
19 201029
20 200820

About David Dai

David Dai is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 129 papers that have together received 7.0k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (35 papers), Coronary Interventions and Diagnostics (34 papers), Cardiac Imaging and Diagnostics (17 papers), Antiplatelet Therapy and Cardiovascular Diseases (16 papers), Cardiac Valve Diseases and Treatments (13 papers), Cardiac, Anesthesia and Surgical Outcomes (11 papers), Heart Failure Treatment and Management (9 papers) and Infective Endocarditis Diagnosis and Management (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.2k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Internal Medicine (341 citations). David Dai has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eric D. Peterson, Ralph G. Brindis, James M. Brennan, Manesh R. Patel, Pamela S. Douglas, Gregg C. Fonarow, Adrian F. Hernandez, H. Vernon Anderson, Rita F. Redberg and John C. Messenger. Their work appears in journals such as Journal of the American College of Cardiology, American Heart Journal, Circulation, JACC: Cardiovascular Interventions and Circulation Cardiovascular Quality and Outcomes.

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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