Daniel S. Levi

147 papers receiving 3.1k citations

Peers

Daniel S. Levi
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 1.0k
  • Epidemiology 1.3k
  • Pulmonary and Respiratory Medicine 872
  • Transplantation 73
  • Surgery 808
Replace Arjang Ruhparwar with:
Arjang Ruhparwar Germany
Christian Latrémouille France
Uberto Bortolotti Italy
Sung‐Ho Jung South Korea
Marco Manfrini Italy
Antonio Amodeo Italy
Richard W. Bianco United States
Kristine J. Guleserian United States
Jürg Grünenfelder Switzerland
W F Enneking United States
Daniel S. Levi relative to Arjang Ruhparwar Germany Arjang Ruhparwar's profile →
Citations per field
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Arjang Ruhparwar · 1×
Citations per year

Countries citing papers authored by Daniel S. Levi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Levi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Levi. 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 S. Levi. The network helps show where Daniel S. Levi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012135
2 2004132
3 201388
4 200882
5
Manganese superoxide dismutase expression in human central nervous system tumors.
199680
6 201180
7 200777
8 202075
9 200268
10 201767
11 202167
12 200167
13 200864
14 201059
15 200457
16 200651
17 200351
18 200750
19 201850
20 200449

About Daniel S. Levi

Daniel S. Levi is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Biomedical Engineering, having authored 151 papers that have together received 3.2k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (49 papers), Cardiac Valve Diseases and Treatments (28 papers), Cardiac Structural Anomalies and Repair (17 papers), Mechanical Circulatory Support Devices (16 papers), Aortic Disease and Treatment Approaches (15 papers), Cardiovascular and Diving-Related Complications (13 papers), Infective Endocarditis Diagnosis and Management (12 papers) and Transplantation: Methods and Outcomes (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Epidemiology (1.3k citations), Pulmonary and Respiratory Medicine (872 citations), Transplantation (73 citations) and Surgery (808 citations). Daniel S. Levi has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include John William Moore, Jamil Aboulhosn, Juan Carlos Alejos, Greg P. Carman, Morris M. Salem, Ryan J. Williams, Michael C. Fishbein, Saar Danon, K. P. Mohanchandra and Hillel Laks. Their work appears in journals such as Catheterization and Cardiovascular Interventions, JACC: Cardiovascular Interventions, Journal of the American College of Cardiology, Congenital Heart Disease and The Journal of Heart and Lung Transplantation.

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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